{"id":"cdc58a97-02b8-40df-a600-9af636d99374","entityType":"agent","slug":"clawhub-deciqai-blue-ocean-strategy","name":"Blue Ocean Strategy","canonicalUrl":"https://www.xpersona.co/agent/clawhub-deciqai-blue-ocean-strategy","canonicalPath":"/agent/clawhub-deciqai-blue-ocean-strategy","generatedAt":"2026-10-10T21:52:16.325Z","source":"CLAWHUB","claimStatus":"UNCLAIMED","verificationTier":"NONE","summary":{"evidence":{"source":"editorial-content","verified":true,"confidence":"high","updatedAt":"2026-10-10T15:54:10.266Z","emptyReason":null},"description":"Activate when: user asks 'how do we stop competing on price?', 'what new market can we create?', 'is there a way to differentiate and cut costs at the same t... Skill: Blue Ocean Strategy Owner: deciqai Summary: Activate when: user asks 'how do we stop competing on price?', 'what new market can we create?', 'is there a way to differentiate and cut costs at the same t... Tags: latest:1.0.5 Version history: v1.0.5 | 2026-07-16T17:53:00.934Z | user Description tail link + agents machine-readable metadata line (deciqai.com/s/blue-ocean-strategy.json) v1.0.4 | 2026-07-09T11:15:54","descriptionLabel":"Technical summary","evidenceSummary":"Capability contract not published. No trust telemetry is available yet. 1.4K downloads reported by the source. Last updated 10/10/2026.","installCommand":"clawhub skill install s17a4mqcnk515kvaca5ze55d0x88pfpx:blue-ocean-strategy","sourceUrl":"https://clawhub.ai/deciqai/blue-ocean-strategy","homepage":"https://clawhub.ai/deciqai/skills/blue-ocean-strategy","primaryLinks":[{"label":"View on ClawHub","url":"https://clawhub.ai/deciqai/blue-ocean-strategy","kind":"source"},{"label":"Homepage","url":"https://clawhub.ai/deciqai/skills/blue-ocean-strategy","kind":"homepage"}],"safetyScore":84,"overallRank":62,"popularityScore":63,"trustScore":null,"claimedByName":null,"isOwner":false,"seoDescription":"Activate when: user asks 'how do we stop competing on price?', 'what new market can we create?', 'is there a way to differentiate and cut costs at the same t..."},"coverage":{"evidence":{"source":"public-profile","verified":false,"confidence":"medium","updatedAt":"2026-10-10T15:54:10.266Z","emptyReason":null},"protocols":[{"protocol":"OPENCLEW","label":"OpenClaw","status":"self-declared","notes":"Declared in the public agent profile."}],"capabilities":[],"verifiedCount":0,"selfDeclaredCount":1,"capabilityMatrix":{"rows":[{"key":"OPENCLEW","type":"protocol","support":"unknown","confidenceSource":"profile","notes":"Listed on profile"}],"flattenedTokens":"protocol:OPENCLEW|unknown|profile"}},"adoption":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-10T15:54:10.266Z","emptyReason":null},"stars":null,"forks":null,"downloads":1350,"packageName":null,"latestVersion":"1.0.5","tractionLabel":"1.4K downloads"},"release":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"medium","updatedAt":"2026-10-10T15:54:10.266Z","emptyReason":null},"lastUpdatedAt":"2026-10-10T15:54:10.266Z","lastCrawledAt":"2026-10-10T15:54:10.266Z","lastIndexedAt":null,"nextCrawlAt":"2026-10-11T15:54:10.266Z","lastVerifiedAt":null,"highlights":[{"version":"1.0.5","createdAt":"2026-07-16T17:53:00.934Z","changelog":"Description tail link + agents machine-readable metadata line (deciqai.com/s/blue-ocean-strategy.json)","fileCount":7,"zipByteSize":16853},{"version":"1.0.4","createdAt":"2026-07-09T11:15:54.398Z","changelog":"Refresh: 2024-2026 AI-era worked examples added (strategy/leadership + systems/game-theory batch)","fileCount":7,"zipByteSize":17023},{"version":"1.0.3","createdAt":"2026-07-08T10:55:07.326Z","changelog":"Footer now uses /c/<slug> short link (fixes UTM truncation when SKILL.md is read in a terminal)","fileCount":6,"zipByteSize":11704},{"version":"1.0.2","createdAt":"2026-07-08T00:39:29.072Z","changelog":"Refreshed content + GitHub star link in footer","fileCount":6,"zipByteSize":11982},{"version":"1.0.1","createdAt":"2026-07-07T20:30:34.372Z","changelog":"Add catalog categories and topics","fileCount":5,"zipByteSize":9438},{"version":"1.0.0","createdAt":"2026-06-26T07:17:51.471Z","changelog":"Initial publish","fileCount":5,"zipByteSize":9235}]},"execution":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No published capability contract is available yet."},"installCommand":"clawhub skill install s17a4mqcnk515kvaca5ze55d0x88pfpx:blue-ocean-strategy","setupComplexity":"low","setupSteps":["Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.","Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data."],"contract":{"contractStatus":"missing","authModes":[],"requires":[],"forbidden":[],"supportsMcp":false,"supportsA2a":false,"supportsStreaming":false,"inputSchemaRef":null,"outputSchemaRef":null,"dataRegion":null,"contractUpdatedAt":null,"sourceUpdatedAt":null,"freshnessSeconds":null},"invocationGuide":{"preferredApi":{"snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-deciqai-blue-ocean-strategy/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-deciqai-blue-ocean-strategy/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-deciqai-blue-ocean-strategy/trust"},"curlExamples":["curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-deciqai-blue-ocean-strategy/snapshot\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-deciqai-blue-ocean-strategy/contract\"","curl -s \"https://www.xpersona.co/api/v1/agents/clawhub-deciqai-blue-ocean-strategy/trust\""],"jsonRequestTemplate":{"query":"summarize this repo","constraints":{"maxLatencyMs":2000,"protocolPreference":["OPENCLEW"]}},"jsonResponseTemplate":{"ok":true,"result":{"summary":"...","confidence":0.9},"meta":{"source":"CLAWHUB","generatedAt":"2026-10-10T21:52:16.321Z"}},"retryPolicy":{"maxAttempts":3,"backoffMs":[500,1500,3500],"retryableConditions":["HTTP_429","HTTP_503","NETWORK_TIMEOUT"]}},"endpoints":{"dossierUrl":"https://www.xpersona.co/api/v1/agents/clawhub-deciqai-blue-ocean-strategy/dossier","snapshotUrl":"https://www.xpersona.co/api/v1/agents/clawhub-deciqai-blue-ocean-strategy/snapshot","contractUrl":"https://www.xpersona.co/api/v1/agents/clawhub-deciqai-blue-ocean-strategy/contract","trustUrl":"https://www.xpersona.co/api/v1/agents/clawhub-deciqai-blue-ocean-strategy/trust"}},"reliability":{"evidence":{"source":"runtime-metrics","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No trust, reliability, or runtime telemetry is available."},"trust":{"status":"unavailable","handshakeStatus":"UNKNOWN","verificationFreshnessHours":null,"reputationScore":null,"p95LatencyMs":null,"successRate30d":null,"fallbackRate":null,"attempts30d":null,"trustUpdatedAt":null,"trustConfidence":"unknown","sourceUpdatedAt":null,"freshnessSeconds":null},"decisionGuardrails":{"doNotUseIf":["Contract metadata is missing or unavailable for deterministic execution."],"safeUseWhen":[],"riskFlags":["missing_or_unavailable_contract","trust_data_unavailable","schema_references_missing"],"operationalConfidence":"low"},"executionMetrics":{"observedLatencyMsP50":null,"observedLatencyMsP95":null,"estimatedCostUsd":null,"uptime30d":null,"rateLimitRpm":null,"rateLimitBurst":null,"lastVerifiedAt":null,"verificationSource":null},"runtimeMetrics":{"successRate":null,"avgLatencyMs":null,"avgCostUsd":null,"hallucinationRate":null,"retryRate":null,"disputeRate":null,"p50Latency":null,"p95Latency":null,"lastUpdated":null}},"benchmarks":{"evidence":{"source":"no-benchmark-data","verified":false,"confidence":"low","updatedAt":null,"emptyReason":"No benchmark suites or observed failure patterns are available."},"suites":[],"failurePatterns":[]},"artifacts":{"evidence":{"source":"CLAWHUB","verified":false,"confidence":"high","updatedAt":"2026-10-10T15:54:10.266Z","emptyReason":null},"readme":"Skill: Blue Ocean Strategy\n\nOwner: deciqai\n\nSummary: Activate when: user asks 'how do we stop competing on price?', 'what new market can we create?', 'is there a way to differentiate and cut costs at the same t...\n\nTags: latest:1.0.5\n\nVersion history:\n\nv1.0.5 | 2026-07-16T17:53:00.934Z | user\n\nDescription tail link + agents machine-readable metadata line (deciqai.com/s/blue-ocean-strategy.json)\n\nv1.0.4 | 2026-07-09T11:15:54.398Z | user\n\nRefresh: 2024-2026 AI-era worked examples added (strategy/leadership + systems/game-theory batch)\n\nv1.0.3 | 2026-07-08T10:55:07.326Z | user\n\nFooter now uses /c/<slug> short link (fixes UTM truncation when SKILL.md is read in a terminal)\n\nv1.0.2 | 2026-07-08T00:39:29.072Z | user\n\nRefreshed content + GitHub star link in footer\n\nv1.0.1 | 2026-07-07T20:30:34.372Z | user\n\nAdd catalog categories and topics\n\nv1.0.0 | 2026-06-26T07:17:51.471Z | user\n\nInitial publish\n\nArchive index:\n\nArchive v1.0.5: 7 files, 16853 bytes\n\nFiles: examples/cirque-du-soleil-1984.md (3636b), examples/vertical-agentic-ai-2024-2026.md (8976b), examples/yellow-tail-wine-2001.md (4270b), references/sources.md (3867b), skill-card.md (2533b), SKILL.md (10632b), _meta.json (138b)\n\nFile v1.0.5:SKILL.md\n\n---\nname: blue-ocean-strategy\ndescription: \"Activate when: user asks 'how do we stop competing on price?', 'what new market can we create?', 'is there a way to differentiate and cut costs at the same time?', describes an industry where all competitors look identical and margins are eroding, or a team is choosing a market entry angle to avoid head-to-head competition.\n  Do NOT activate when: competitive dimensions are fixed by regulation (utilities, certain financial products); or a network-effects incumbent already dominates the space — use disruptive-innovation instead. More: deciqai.com/c/blue-ocean-strategy\"\n---\n\n# Blue Ocean Strategy\n\n## Overview\n\nMost competitive strategy assumes industry boundaries are fixed. Blue Ocean Strategy's core claim: that assumption is optional. Kim and Mauborgne studied 150 strategic moves across 30 industries over 130 years — lasting high growth came from reconstructing market boundaries, not competing harder within them.\n\nThe mechanism is the ERRC grid (Eliminate, Reduce, Raise, Create): Eliminate+Reduce drive cost below industry average; Raise+Create drive buyer value above it — breaking the differentiation/cost trade-off simultaneously. The critical input is the **non-customer lens**: blue oceans are found by studying people who refuse the category, not existing customers.\n\nCompose with: porters-five-forces before; disruptive-innovation as complementary lens; pricing-strategy after ERRC; first-mover-advantage for defense window.\n\n## When to Use\n\nApply when: visible industry convergence (products similar, price is primary differentiator, margins eroding); team choosing market entry angle to avoid commoditized competition; product losing pricing power despite feature improvements; a team asks how to avoid competing head-to-head with AI-native incumbents or trillion-dollar platforms on a commoditized general capability (e.g., \"everyone's shipping the same AI chatbot — where's the uncontested space?\", AI capex arms race, saturated AI adoption); someone asks \"how do we stop competing on price?\" or \"what new market can we create?\"\n\n**When NOT to use:** competitive dimensions fixed by law/safety standards; early-stage startup without sufficient market exposure to identify non-customer patterns; company lacks execution capability for a new value proposition; blue ocean with network-effect protection already exists — use disruptive-innovation.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a specific industry, named competitors, strategic question → run The Process directly.\n- **Coach mode:** user asks \"what is this / does it apply to me?\" → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. **One-line what-it-is.** Blue ocean asks which value dimensions to eliminate, reduce, raise, and invent — so you stop competing on the same terms entirely.\n2. **Check fit.** Match against When to Use / When NOT to use.\n3. **Elicit their real case.** \"Which industry, which competitors, and what value dimensions is everyone competing on today?\"\n> **[WAIT — do not advance until user responds]**\n4. **One step at a time.** Map the current strategy canvas first; only advance to Six Paths after canvas is visible.\n> **[WAIT — do not advance until user responds]**\n5. **Close by naming the payoff.** Identify the value dimension they found that could be *eliminated* without buyer resistance.\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\nRun the **Value Innovation Audit**: map competition → identify non-customers → apply ERRC → validate canvas.\n\n1. **Current strategy canvas (As-Is).** Score 6–8 competitive factors for each major competitor (1–5). Make red-ocean convergence visible.\n2. **Three tiers of non-customers.** (a) Soon-to-be: using but dissatisfied; (b) Refusing: using substitutes; (c) Unexplored: never considered. Ask each: \"What would make this product worth using?\"\n3. **Six Paths.** (1) Substitute industries; (2) Strategic groups; (3) Buyer chain; (4) Complements; (5) Functional vs. emotional; (6) Trends. Generate 2–3 candidate opportunities per path.\n4. **ERRC grid.** Eliminate / Reduce / Raise / Create. Check: Eliminate+Reduce savings > Raise+Create costs? If not, this is differentiation, not value innovation.\n5. **Target canvas (To-Be).** Validate: Focus (3–4 dimensions); Divergence (different curve shape from competitors); Tagline (one sentence a non-customer understands).\n6. **Buyer utility validation.** Stop-rule: do non-customers say \"never seen anything like this\" — or \"that's nice, but I still wouldn't switch\"? If the second, iterate ERRC.\n\n### Output Template\n\n```\nCurrent Canvas: factor table with competitor scores + red-ocean zone assessment\nNon-Customer Map: soon-to-be / refusing / unexplored + shared dissatisfaction\nSix Paths: opportunity per path → primary opportunity selected\nERRC Grid: Eliminate / Reduce / Raise / Create + arithmetic check\nTarget Canvas: To-Be scores + Focus / Divergence / Tagline check\nBuyer Utility: utility gaps closed + non-customer response + stop-rule decision\n```\n\n*→ Method in Action: [Cirque du Soleil (1984)](examples/cirque-du-soleil-1984.md) · [Yellow Tail Wine (2001)](examples/yellow-tail-wine-2001.md)*\n*→ 2026 lens: [Escaping the red ocean of general AI chatbots via vertical/agentic AI (2024–2026)](examples/vertical-agentic-ai-2024-2026.md)*\n\n## Innovation Packs\n\n| Domain | Canvas convergence (what everyone competes on) | ERRC emphasis | Common failure |\n|---|---|---|---|\n| Consumer goods / food-bev | brand prestige, category expertise, range breadth | Eliminate conventions buyers don't value (Yellow Tail: removed the wine-knowledge requirement); Create ease of selection | eliminating complexity that was never the non-customer's stated reason for refusing — restructuring for convenience, not their value |\n| B2B software | features, integration depth, enterprise compliance | Eliminate customization depth / reduce onboarding friction / raise time-to-value / create self-serve | \"Create\" quietly rebuilds enterprise machinery non-customers don't need — Eliminate is underperforming |\n| Healthcare | facility scale, specialist breadth, coverage networks | Raise/Create convenience and access while Eliminating facility overhead | treating regulatory minimums as eliminable \"industry assumptions\" — they are fixed, map them before ERRC |\n| Travel / airlines | hub networks, seat classes, in-flight amenities | Eliminate lounges, meals, seat classes; Raise departure frequency; Create point-to-point speed priced against driving (Southwest) | benchmarking rival carriers instead of the substitute (the car) — Path 1 skipped |\n\n*Contribute a pack for your domain — see the template at the repo root.*\n\n## Applying It Well\n\n- **Canvas before grid.** Make the red ocean visible first — teams that skip to ERRC over-weight Raise and under-weight Eliminate.\n- **Eliminate is the discipline.** Force at least two items into Eliminate. Eliminating costs without losing buyer value funds the value jump.\n- **Non-customers over customers.** Non-customers reveal structural problems; existing customers suggest incremental improvements.\n- **One sentence test.** If the new value prop requires more than one sentence for a non-customer, the canvas lacks divergence — iterate.\n- **Blue oceans turn red.** Build switching costs and network effects from day one. Use first-mover-advantage.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] Calling slight differentiation \"value innovation\" | Requires *simultaneously* lower cost AND higher buyer value. Better product at higher cost = differentiation. ERRC arithmetic must close. |\n| [D] ERRC grid with empty Eliminate/Reduce rows | Only Raise+Create means costs go up — product improvement, not blue ocean. |\n| [D] Competitor benchmarking treated as strategy canvas | Canvas maps *buyer-perceived* factors, scored by buyer experience — not features from a spec sheet. |\n| [D] \"Found a blue ocean\" before non-customer testing | Without refusing and unexplored non-customer exposure, it's a hypothesis, not an audit. |\n| [D] Confusing \"no competition\" with \"no market\" | No competitors may mean demand must be created. Mistaking it for validated demand leads to over-investment in market education. |\n| [D] Canvas parallel to competitors but spiking on one factor | That is a red-ocean differentiation move. All three properties (focus, divergence, tagline) must pass. |\n| [D] Six Paths used as brainstorm not structured analysis | Each path has a specific question — answer it precisely, or you get noise instead of insight. |\n| [D] Assuming the blue ocean will stay blue | Imitators arrive. Treat value innovation as a window, not a shield. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- Canvas overlaps substantially with competitors — divergence property absent\n- ERRC Eliminate row is blank or uncommitted\n- Non-customer research absent — analysis based only on current customers\n- Value proposition requires more than one sentence to explain\n- Raise+Create costs exceed Eliminate+Reduce savings — model doesn't close\n- Opportunity is in a space where a network-effects incumbent already operates\n\n## Verification\n\n- [ ] Current canvas drawn with buyer-perceived scores, convergence visible\n- [ ] Non-customers researched across ≥2 tiers, shared dissatisfaction identified\n- [ ] Six Paths applied with specific structural question per path\n- [ ] ERRC Eliminate+Reduce substantively populated, arithmetic checked\n- [ ] Target canvas passes all three properties: focus, divergence, tagline\n- [ ] Non-customer utility validation complete — \"never seen this before\" confirmed or ERRC iterated\n- [ ] Imitation timeline estimated, moat-building actions identified\n\n---\n\n*Part of **deciqAI Knowledge Skills** — 227 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. **See it run → https://www.deciqai.com/c/blue-ocean-strategy** · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.*\n\n*Agents: latest version & machine-readable metadata → https://www.deciqai.com/s/blue-ocean-strategy.json*\n\nFile v1.0.5:_meta.json\n\n{\n  \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n  \"slug\": \"blue-ocean-strategy\",\n  \"version\": \"1.0.5\",\n  \"publishedAt\": 1784224380934\n}\n\nFile v1.0.5:references/sources.md\n\n# Sources — blue-ocean-strategy\n\n> *Primary sources for the [blue-ocean-strategy](../SKILL.md) skill.*\n\n- Kim, W.C. & Mauborgne, R. (2005). *Blue Ocean Strategy: How to Create Uncontested Market Space and Make the Competition Irrelevant.* Harvard Business Review Press. Verbatim: \"Value innovation is the cornerstone of blue ocean strategy. We call it value innovation because instead of focusing on beating the competition, you focus on making the competition irrelevant by creating a leap in value for buyers and your company, thereby opening up new and uncontested market space.\" (p. 12) and \"The simultaneous pursuit of differentiation and low cost... is what we call value innovation.\" (p. 13). Publisher: https://store.hbr.org/ (search \"Blue Ocean Strategy\"); author site: https://www.blueoceanstrategy.com/\n\n- Kim, W.C. & Mauborgne, R. (1999). \"Creating New Market Space.\" *Harvard Business Review*, January–February 1999. Introduces the Six Paths framework in an HBR article prior to the book. Verbatim: \"Instead of looking within the accepted boundaries that define how we compete, managers can look systematically across them.\" https://hbr.org/1999/01/creating-new-market-space\n\n- Kim, W.C. & Mauborgne, R. \"Value Innovation: The Strategic Logic of High Growth.\" *Harvard Business Review*, originally January–February 1997 (subsequently reissued). An early articulation of the value-innovation logic later developed, with the broader strategic-move research base, in the 2005 book. https://hbr.org/1997/01/value-innovation-the-strategic-logic-of-high-growth\n\n- Kim, W.C. & Mauborgne, R. (2017). *Blue Ocean Shift: Beyond Competing.* Hachette Books. Extends the framework with the \"humanness process\" for organizational change management in blue ocean transitions. https://www.blueoceanstrategy.com/bos-book/blue-ocean-shift/\n\n- Yellow Tail case data: Casella Wines'/[yellow tail]'s widely reported US launch (2001) and rapid rise; the brand is commonly reported as the leading imported wine into the US in the years immediately following launch (~2003). Trade press (e.g., Wine Spectator, Impact Databank) and industry bodies such as the Wine Institute (https://wineinstitute.org/) track US wine market data; exact rank/year should be re-verified against a specific report before citing a precise figure.\n\n- Contemporary context for the 2024–2026 vertical/agentic-AI example: the major general assistants and their public product/pricing pages — OpenAI ChatGPT (https://openai.com/chatgpt/), Google Gemini (https://gemini.google.com/), Anthropic Claude (https://www.anthropic.com/claude), Microsoft Copilot (https://copilot.microsoft.com/), Meta AI (https://www.meta.ai/). Used to substantiate the convergence of the general-assistant value curve and the roughly $20/month consumer-tier price band as of early 2026.\n\n- The 2024–2026 industry shift toward agentic/tool-using AI, large-scale AI capital expenditure, and vertical AI applications is drawn from ongoing public reporting as of early 2026 (e.g., The Wall Street Journal, The Information, and Stratechery — https://stratechery.com/). Specific figures are described in qualified terms in the example because point-in-time values move quickly; only the durable market structure is asserted.\n\n**What is not cited and why:** Cirque du Soleil's early revenue figures come from Kim & Mauborgne's own 2005 text and updated 2015 edition — they are the primary researchers who documented the case. Later popular accounts of the Cirque story (Forbes, Inc. magazine, business school case adaptations) often recite these numbers without independent sourcing; this skill uses the original authors' documentation. The claim that Yellow Tail became the best-selling imported wine in the US by 2003 is supported by Wine Institute import statistics, not by Casella Wines' marketing materials alone.\n\nFile v1.0.5:examples/cirque-du-soleil-1984.md\n\n# Method in Action: Cirque du Soleil (1984)\n\n> *Example for the [blue-ocean-strategy](../SKILL.md) skill.*\n\nA documented case of value innovation applied to a declining industry, reconstructing market boundaries without a technology breakthrough.\n\n**Step 1 — Current canvas.** In 1984, the traditional circus industry competed on: star performers and star animals (cost drivers), multiple simultaneous rings (breadth), arena venues, classic \"big top\" atmosphere, thrill and danger, and child-focused entertainment. Competitors' strategy canvases were nearly identical. The industry was in decline — declining attendance, animal welfare pressure, high operating costs.\n\n**Step 2 — Non-customers.** The second and third tiers were large: adults who had stopped attending circuses (childhood interest, nothing for adult sensibility), and the corporate entertainment buyer who needed an event with cultural cachet that a circus lacked. These groups were not reached by existing circus marketing because the product offered nothing specifically for them.\n\n**Step 3 — Six Paths.** Path 1 (substitute industries): adults seeking entertainment also attended theater, opera, and Broadway — experiences offering narrative, artistry, and prestige that circus lacked. Path 2: no strategic group between mass-market circus and high-art Broadway existed. Path 5: the circus was almost entirely thrill/stunt-functional; no emotional or aesthetic dimension had been developed.\n\n**Step 4 — ERRC grid:**\n- *Eliminate*: star performers (expensive; adults don't need celebrity animals or human stars), animal shows (high cost + reputational risk), multiple rings (divided audience attention), aisle concession sales\n- *Reduce*: thrill/danger elements (retained as aesthetic, not as primary driver), classic mass-market promotional framing\n- *Raise*: unique venue experience (bespoke tent design), technical production quality\n- *Create*: themed narrative (each show tells a complete story), refined artistic environment, music composed for each show, Broadway-style venue experience, adult emotional engagement, ticketing at premium-entertainment price point\n\n**Step 5 — Target canvas.** The result was a strategy canvas that looked nothing like traditional circus: high on narrative, artistry, venue quality, and thematic coherence; near-zero on animal acts, star performers, and multi-ring complexity. Ticket prices were set at 5–10× traditional circus levels, targeting corporate buyers and adults who had never attended a circus in their adult lives.\n\n**Step 6 — Buyer utility.** The utility gap that mattered was \"entertainment adults can proudly attend and recommend.\" The non-customer response: corporate event planners and adult entertainment-seekers responded to Cirque's early shows with exactly the \"never seen anything like this\" signal. By the early 2000s, Cirque du Soleil had annual revenues exceeding $800M across productions on six continents — creating a market that did not previously exist.\n\n**ERRC arithmetic check:** Star performers and animals were among the largest cost items in traditional circus. Eliminating them — alongside removing the multi-ring infrastructure and aisle sales operations — funded the production investment in composed music, theatrical staging, and bespoke venues at a higher ticket price point.\n\n*Sources: Kim, W.C. & Mauborgne, R. (2005). Blue Ocean Strategy. Harvard Business Review Press, pp. 1–20 (Cirque du Soleil as opening case); pp. 25–47 (ERRC grid and strategy canvas methodology). Revenue figures: Kim & Mauborgne, Blue Ocean Strategy, Updated Edition (2015), p. 4.*\n\nFile v1.0.5:examples/vertical-agentic-ai-2024-2026.md\n\n# Method in Action: Escaping the Red Ocean of General AI Chatbots (2024–2026)\n\n> *Example for the [blue-ocean-strategy](../SKILL.md) skill.*\n\nBy 2024–2026, general-purpose AI chatbots had become a textbook red ocean. A handful of well-funded assistants — OpenAI's ChatGPT, Google's Gemini, Anthropic's Claude, Microsoft Copilot, Meta AI, and a long tail of open-weight models — converged on the same value curve: a chat box, a general model, broad knowledge, and a monthly subscription in a similar price band (consumer tiers commonly around $20/month as of early 2026). Underlying model capability was expensive to build yet increasingly hard to differentiate at the surface, and reported industry AI capital expenditure ran into the tens of billions of dollars per major player per year. The strategic question a vertical software team faced: *how do we avoid competing head-to-head with trillion-dollar platforms on \"best general chatbot\"?* Blue Ocean answers: stop competing on that curve. This walks the anchor case — **vertical, agentic AI built around one industry's actual workflow** — through the skill's six process steps.\n\n**Step 1 — Current strategy canvas (As-Is).** The general-assistant category converged on a recognizable set of buyer-perceived factors, each scored 1–5 for a typical leading chatbot:\n\n| Factor | General chatbot (typical) |\n|---|---|\n| Breadth of general knowledge | 5 |\n| Raw model reasoning quality | 4–5 |\n| Conversational, open-ended UX | 5 |\n| Price competitiveness (low $/mo) | 3 (converged ~$20) |\n| Fits a specific job's workflow end-to-end | 1 |\n| Takes real actions in the user's systems of record | 1 |\n| Verifiable, auditable, domain-correct output | 2 |\n| Accountability for a completed outcome | 1 |\n\nEvery major assistant draws nearly the same curve — high on general capability and open-ended chat, low on doing a specific job to completion inside a specific system. That convergence is the red ocean.\n\n**Step 2 — Three tiers of non-customers.** The decisive input was people who were *not* buying a general chatbot seat, or were paying but not getting a job done:\n- *Soon-to-be (dissatisfied users):* professionals who tried a chatbot for real work but reverted to legacy tools because the assistant produced a draft, not a finished, correct, filed outcome — it lived in a separate tab, disconnected from their systems of record.\n- *Refusing (using substitutes):* teams solving the workflow with incumbent vertical software plus manual labor, or with outsourced/offshore human process work — refusing general AI because it was unaccountable and did not integrate.\n- *Unexplored:* regulated and high-stakes functions (clinical documentation, legal review, accounting, claims) that had never seriously considered a consumer chatbot because generic output carried unacceptable audit and liability risk.\n\nShared dissatisfaction across all three: *\"It can talk about my job, but it can't do my job.\"*\n\n**Step 3 — Six Paths.** \n- *Path 1 (substitute industries):* the real substitute is not another chatbot — it is the incumbent SaaS suite and the human labor doing the workflow today. Benchmark against those, not against Gemini.\n- *Path 3 (buyer chain):* the economic buyer is a function owner (a clinic administrator, a firm's operations lead) who buys *outcomes and hours saved*, not a curious individual buying a general model seat.\n- *Path 4 (complementary offerings):* the value sits in integration, data connectors, verification, and audit trails wrapped *around* a model — not in the model alone.\n- *Path 5 (functional vs. emotional):* general assistants sell open-ended possibility; the vertical buyer wants a bounded, reliable, functional guarantee that a specific task is done right.\n\nPrimary opportunity selected: an **agent that owns one industry workflow end-to-end** — integrated into the systems of record, taking actions, and producing verifiable, accountable output.\n\n**Step 4 — ERRC grid.**\n- *Eliminate:* the open-ended \"ask me anything\" general-knowledge positioning; the burden on the user to prompt, verify, and re-enter the result into their real system.\n- *Reduce:* surface breadth (support one workflow deeply, not all of them); dependence on the user's prompting skill.\n- *Raise:* domain correctness and verifiability; depth of integration into existing systems of record; accountability for a completed outcome.\n- *Create:* autonomous multi-step action inside the workflow; a domain-specific audit trail; outcome- or usage-based pricing tied to work actually completed rather than a flat seat.\n\n*Arithmetic check.* Eliminating the general-model arms race is the cost lever: a vertical product can build a thinner orchestration and verification layer on top of existing frontier models via API rather than funding the multi-billion-dollar training capex the platforms carry. Those eliminated/reduced costs fund the Raise/Create investments (integrations, domain evaluation, guardrails). Savings on the cost side exceed the added spend on the value side — this passes the value-innovation test rather than being differentiation-at-higher-cost.\n\n**Step 5 — Target strategy canvas (To-Be).** The vertical-agentic curve diverges sharply: near-zero on general breadth and open-ended chat, high on workflow-fit, action-taking, verifiability, and outcome accountability — exactly the factors where general chatbots score 1–2.\n- *Focus:* three to four dimensions (workflow-fit, action-taking, verifiable/auditable output, outcome accountability).\n- *Divergence:* an inverted curve versus the general-assistant pack, not a taller version of the same shape.\n- *Tagline a non-customer understands in one sentence:* *\"It doesn't chat about the job — it does the job, in your systems, and you can audit every step.\"*\n\n**Step 6 — Buyer utility validation.** Stop-rule: does the function owner say *\"I've never seen anything that actually closes this loop\"* — or *\"nice demo, but I still wouldn't switch\"*? The signal to pursue is a refusing/unexplored non-customer (a team currently using incumbent SaaS plus manual labor) adopting because the agent completes and files the work, not because it has a marginally better model. If the response is the second — polite interest, no switch — the Eliminate row is under-committed (the product is still a general chatbot with a domain skin) and ERRC must iterate.\n\n**Caveat — blue oceans turn red.** This water is filling fast: through 2024–2026 the platforms themselves pushed toward agents and tool use, and vertical AI startups multiplied. The durable moat is not the model — it is the integrations, proprietary workflow data, and switching costs accumulated inside the customer's systems of record. Treat the value innovation as a window, and build the moat from day one (see [switching-costs](../../switching-costs/SKILL.md) and [first-mover-advantage](../../first-mover-advantage/SKILL.md)).\n\nThe mapped steps:\n1. Current canvas: general chatbots converged on breadth/chat/~$20 price, near-zero on doing a specific job in a specific system — red ocean visible\n2. Non-customers: soon-to-be (reverted to legacy tools), refusing (incumbent SaaS + manual labor), unexplored (regulated high-stakes functions) — shared dissatisfaction: \"it can talk about my job, not do it\"\n3. Six Paths: Path 1 (substitute = incumbent SaaS + human labor), Path 3 (buyer = function owner buying outcomes), Path 4 (value in integration/audit around the model), Path 5 (functional guarantee over open-ended possibility)\n4. ERRC: Eliminate general positioning/user verification burden; Reduce breadth/prompt-dependence; Raise correctness/integration/accountability; Create autonomous action/audit trail/outcome pricing — eliminated training-capex arms race funds the value jump\n5. Target canvas: inverted, focused curve; one-sentence tagline; divergence from the general-assistant pack\n6. Buyer utility: validated when a substitute-using non-customer switches because the loop closes, not because the model is marginally better\n\n*Sources: Kim, W.C. & Mauborgne, R. (2005). *Blue Ocean Strategy.* Harvard Business Review Press, ch. 1–2 (value innovation, strategy canvas, ERRC, non-customer tiers, Six Paths). Contemporary market context — the convergence of general assistants (ChatGPT, Gemini, Claude, Microsoft Copilot, Meta AI), the roughly $20/month consumer-tier price band, large-scale AI capital expenditure, and the 2024–2026 shift toward agentic/tool-using AI and vertical AI applications — is drawn from widely reported public coverage as of early 2026 (e.g., the companies' own product pages and pricing pages; ongoing reporting in outlets such as The Wall Street Journal, The Information, and Stratechery). Figures are described in qualified terms because exact, current numbers move quickly; this example asserts only the durable, well-documented structure of the market, not precise point-in-time values.*\n\nFile v1.0.5:examples/yellow-tail-wine-2001.md\n\n# Method in Action: [yellow tail] Wine (2001–2003)\n\n> *Example for the [blue-ocean-strategy](../SKILL.md) skill.*\n\nCasella Wines, a family-owned Australian winery, entered the crowded US wine market in 2001 and within roughly two years held the leading position among imported wine brands — not by making better wine on the industry's terms, but by refusing those terms. Kim and Mauborgne document the case as a canonical value-innovation move in a consumer goods category.\n\n**Step 1 — Current canvas.** The US wine industry competed on a converged set of factors: price per bottle, enological terminology and distinctions on the label, above-the-line marketing, aging quality, vineyard prestige and legacy, taste complexity, and breadth of the wine range. Premium and budget wines drew the same curve shape at different heights — a textbook red ocean. Despite intense competition, US per-capita wine consumption was stagnant.\n\n**Step 2 — Non-customers.** The decisive input was not wine drinkers but the far larger population of US adults who drank beer, spirits, and ready-to-drink cocktails instead — refusing non-customers roughly three times the size of the wine market. Their shared dissatisfaction: wine felt pretentious and intimidating, the taste was challenging, and the wall of labels made selection an anxiety-inducing chore rather than a pleasure.\n\n**Step 3 — Six Paths.** Path 1 (substitute industries) drove the move: Casella looked across to beer and cocktails and asked what made those drinks approachable — easy drinking, easy selection, fun. Path 5 (functional vs. emotional) reinforced it: the wine industry sold connoisseurship and status; the substitute industries sold uncomplicated social enjoyment.\n\n**Step 4 — ERRC grid.**\n- *Eliminate*: enological terminology and distinctions, aging qualities, above-the-line marketing\n- *Reduce*: taste complexity, wine range (launched with just two wines — a Chardonnay and a Shiraz), vineyard prestige\n- *Raise*: price relative to budget wines, retail store involvement (retail staff became enthusiastic advocates for an easy-to-sell bottle)\n- *Create*: easy drinking, ease of selection (one striking kangaroo label, same bottle for red and white), fun and adventure\n\nThe arithmetic closed: dropping aging, promotion spend, and range breadth cut structural cost, funding a soft, approachable wine sold above the budget tier.\n\n**Step 5 — Target canvas.** The [yellow tail] curve diverged sharply from both premium and budget wine: near-zero on prestige, terminology, and complexity; high on the newly created factors. Focus: three to four dimensions. Tagline a non-customer understood instantly: a fun, easy wine you don't need to know anything about.\n\n**Step 6 — Buyer utility.** Beer and cocktail drinkers who \"didn't drink wine\" bought it — the new-demand signal, not share taken from rivals on the old curve. By August 2003 [yellow tail] was the number one imported wine in the US market, outpacing established French and Italian brands, and became the fastest-growing imported wine brand in US history to that point.\n\nThe mapped steps:\n1. Current canvas: US wine industry converged on prestige, complexity, terminology, range — red ocean visible\n2. Non-customers: refusing tier (beer/spirits/cocktail drinkers, ~3× the wine market) with shared dissatisfaction — intimidation and selection anxiety\n3. Six Paths: Path 1 (substitute industries: beer and cocktails) and Path 5 (functional vs. emotional) surfaced the opportunity\n4. ERRC grid: Eliminate terminology/aging/promotion; Reduce complexity/range/prestige; Raise price-over-budget/retail involvement; Create easy drinking/easy selection/fun — savings funded the value jump\n5. Target canvas: divergent curve, focused factors, one-sentence tagline\n6. Buyer utility: validated by new demand from non-customers, confirmed by import-market leadership within two years\n\nPrimary source: Kim, W.C. & Mauborgne, R. (2005). *Blue Ocean Strategy: How to Create Uncontested Market Space and Make the Competition Irrelevant.* Harvard Business Review Press, ch. 2 (the strategy canvas and the [yellow tail] case). Market position corroborated by Wine Institute US import statistics (2001–2003). https://www.wineinstitute.org/\n\nFile v1.0.5:skill-card.md\n\n## Description:\n\nGuides agents through a Blue Ocean Strategy value innovation audit to map competition, identify non-customers, apply the ERRC grid, and validate a divergent target canvas.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[deciqai](https://clawhub.ai/user/deciqai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nEmployees, external advisors, and strategy teams use this skill to evaluate whether a market is overcrowded and to develop value innovation options. It helps agents produce a structured strategy audit covering the current canvas, non-customer map, Six Paths opportunities, ERRC grid, target canvas, and buyer utility validation.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: External links and market examples may not reflect current market conditions.\n\nMitigation: Treat them as reference material and re-check current facts before making business decisions.\n\nRisk: The skill can produce misleading strategic guidance if used where regulation, safety requirements, or entrenched network effects fix the competitive dimensions.\n\nMitigation: Apply the skill's stated fit checks before the audit and use a different strategy lens when those conditions are present.\n\n## Reference(s):\n\n- [Primary sources for blue-ocean-strategy](references/sources.md)\n- [Blue Ocean Strategy skill page](https://www.deciqai.com/c/blue-ocean-strategy)\n- [Blue Ocean Strategy agent metadata](https://www.deciqai.com/s/blue-ocean-strategy.json)\n- [Blue Ocean Strategy official site](https://www.blueoceanstrategy.com/)\n- [Creating New Market Space](https://hbr.org/1999/01/creating-new-market-space)\n- [Value Innovation: The Strategic Logic of High Growth](https://hbr.org/1997/01/value-innovation-the-strategic-logic-of-high-growth)\n- [Blue Ocean Shift](https://www.blueoceanstrategy.com/bos-book/blue-ocean-shift/)\n- [Wine Institute](https://wineinstitute.org/)\n\n## Skill Output:\n\n**Output Type(s):** [text, markdown, guidance]\n\n**Output Format:** [Structured Markdown strategy audit]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May use staged coaching questions and wait for user input before continuing.]\n\n## Skill Version(s):\n\n1.0.5 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.0.4: 7 files, 17023 bytes\n\nFiles: examples/cirque-du-soleil-1984.md (3636b), examples/vertical-agentic-ai-2024-2026.md (8976b), examples/yellow-tail-wine-2001.md (4270b), references/sources.md (3867b), skill-card.md (3017b), SKILL.md (10483b), _meta.json (138b)\n\nFile v1.0.4:SKILL.md\n\n---\nname: blue-ocean-strategy\ndescription: \"Activate when: user asks 'how do we stop competing on price?', 'what new market can we create?', 'is there a way to differentiate and cut costs at the same time?', describes an industry where all competitors look identical and margins are eroding, or a team is choosing a market entry angle to avoid head-to-head competition.\n  Do NOT activate when: competitive dimensions are fixed by regulation (utilities, certain financial products); or a network-effects incumbent already dominates the space — use disruptive-innovation instead.\"\n---\n\n# Blue Ocean Strategy\n\n## Overview\n\nMost competitive strategy assumes industry boundaries are fixed. Blue Ocean Strategy's core claim: that assumption is optional. Kim and Mauborgne studied 150 strategic moves across 30 industries over 130 years — lasting high growth came from reconstructing market boundaries, not competing harder within them.\n\nThe mechanism is the ERRC grid (Eliminate, Reduce, Raise, Create): Eliminate+Reduce drive cost below industry average; Raise+Create drive buyer value above it — breaking the differentiation/cost trade-off simultaneously. The critical input is the **non-customer lens**: blue oceans are found by studying people who refuse the category, not existing customers.\n\nCompose with: porters-five-forces before; disruptive-innovation as complementary lens; pricing-strategy after ERRC; first-mover-advantage for defense window.\n\n## When to Use\n\nApply when: visible industry convergence (products similar, price is primary differentiator, margins eroding); team choosing market entry angle to avoid commoditized competition; product losing pricing power despite feature improvements; a team asks how to avoid competing head-to-head with AI-native incumbents or trillion-dollar platforms on a commoditized general capability (e.g., \"everyone's shipping the same AI chatbot — where's the uncontested space?\", AI capex arms race, saturated AI adoption); someone asks \"how do we stop competing on price?\" or \"what new market can we create?\"\n\n**When NOT to use:** competitive dimensions fixed by law/safety standards; early-stage startup without sufficient market exposure to identify non-customer patterns; company lacks execution capability for a new value proposition; blue ocean with network-effect protection already exists — use disruptive-innovation.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a specific industry, named competitors, strategic question → run The Process directly.\n- **Coach mode:** user asks \"what is this / does it apply to me?\" → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. **One-line what-it-is.** Blue ocean asks which value dimensions to eliminate, reduce, raise, and invent — so you stop competing on the same terms entirely.\n2. **Check fit.** Match against When to Use / When NOT to use.\n3. **Elicit their real case.** \"Which industry, which competitors, and what value dimensions is everyone competing on today?\"\n> **[WAIT — do not advance until user responds]**\n4. **One step at a time.** Map the current strategy canvas first; only advance to Six Paths after canvas is visible.\n> **[WAIT — do not advance until user responds]**\n5. **Close by naming the payoff.** Identify the value dimension they found that could be *eliminated* without buyer resistance.\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\nRun the **Value Innovation Audit**: map competition → identify non-customers → apply ERRC → validate canvas.\n\n1. **Current strategy canvas (As-Is).** Score 6–8 competitive factors for each major competitor (1–5). Make red-ocean convergence visible.\n2. **Three tiers of non-customers.** (a) Soon-to-be: using but dissatisfied; (b) Refusing: using substitutes; (c) Unexplored: never considered. Ask each: \"What would make this product worth using?\"\n3. **Six Paths.** (1) Substitute industries; (2) Strategic groups; (3) Buyer chain; (4) Complements; (5) Functional vs. emotional; (6) Trends. Generate 2–3 candidate opportunities per path.\n4. **ERRC grid.** Eliminate / Reduce / Raise / Create. Check: Eliminate+Reduce savings > Raise+Create costs? If not, this is differentiation, not value innovation.\n5. **Target canvas (To-Be).** Validate: Focus (3–4 dimensions); Divergence (different curve shape from competitors); Tagline (one sentence a non-customer understands).\n6. **Buyer utility validation.** Stop-rule: do non-customers say \"never seen anything like this\" — or \"that's nice, but I still wouldn't switch\"? If the second, iterate ERRC.\n\n### Output Template\n\n```\nCurrent Canvas: factor table with competitor scores + red-ocean zone assessment\nNon-Customer Map: soon-to-be / refusing / unexplored + shared dissatisfaction\nSix Paths: opportunity per path → primary opportunity selected\nERRC Grid: Eliminate / Reduce / Raise / Create + arithmetic check\nTarget Canvas: To-Be scores + Focus / Divergence / Tagline check\nBuyer Utility: utility gaps closed + non-customer response + stop-rule decision\n```\n\n*→ Method in Action: [Cirque du Soleil (1984)](examples/cirque-du-soleil-1984.md) · [Yellow Tail Wine (2001)](examples/yellow-tail-wine-2001.md)*\n*→ 2026 lens: [Escaping the red ocean of general AI chatbots via vertical/agentic AI (2024–2026)](examples/vertical-agentic-ai-2024-2026.md)*\n\n## Innovation Packs\n\n| Domain | Canvas convergence (what everyone competes on) | ERRC emphasis | Common failure |\n|---|---|---|---|\n| Consumer goods / food-bev | brand prestige, category expertise, range breadth | Eliminate conventions buyers don't value (Yellow Tail: removed the wine-knowledge requirement); Create ease of selection | eliminating complexity that was never the non-customer's stated reason for refusing — restructuring for convenience, not their value |\n| B2B software | features, integration depth, enterprise compliance | Eliminate customization depth / reduce onboarding friction / raise time-to-value / create self-serve | \"Create\" quietly rebuilds enterprise machinery non-customers don't need — Eliminate is underperforming |\n| Healthcare | facility scale, specialist breadth, coverage networks | Raise/Create convenience and access while Eliminating facility overhead | treating regulatory minimums as eliminable \"industry assumptions\" — they are fixed, map them before ERRC |\n| Travel / airlines | hub networks, seat classes, in-flight amenities | Eliminate lounges, meals, seat classes; Raise departure frequency; Create point-to-point speed priced against driving (Southwest) | benchmarking rival carriers instead of the substitute (the car) — Path 1 skipped |\n\n*Contribute a pack for your domain — see the template at the repo root.*\n\n## Applying It Well\n\n- **Canvas before grid.** Make the red ocean visible first — teams that skip to ERRC over-weight Raise and under-weight Eliminate.\n- **Eliminate is the discipline.** Force at least two items into Eliminate. Eliminating costs without losing buyer value funds the value jump.\n- **Non-customers over customers.** Non-customers reveal structural problems; existing customers suggest incremental improvements.\n- **One sentence test.** If the new value prop requires more than one sentence for a non-customer, the canvas lacks divergence — iterate.\n- **Blue oceans turn red.** Build switching costs and network effects from day one. Use first-mover-advantage.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] Calling slight differentiation \"value innovation\" | Requires *simultaneously* lower cost AND higher buyer value. Better product at higher cost = differentiation. ERRC arithmetic must close. |\n| [D] ERRC grid with empty Eliminate/Reduce rows | Only Raise+Create means costs go up — product improvement, not blue ocean. |\n| [D] Competitor benchmarking treated as strategy canvas | Canvas maps *buyer-perceived* factors, scored by buyer experience — not features from a spec sheet. |\n| [D] \"Found a blue ocean\" before non-customer testing | Without refusing and unexplored non-customer exposure, it's a hypothesis, not an audit. |\n| [D] Confusing \"no competition\" with \"no market\" | No competitors may mean demand must be created. Mistaking it for validated demand leads to over-investment in market education. |\n| [D] Canvas parallel to competitors but spiking on one factor | That is a red-ocean differentiation move. All three properties (focus, divergence, tagline) must pass. |\n| [D] Six Paths used as brainstorm not structured analysis | Each path has a specific question — answer it precisely, or you get noise instead of insight. |\n| [D] Assuming the blue ocean will stay blue | Imitators arrive. Treat value innovation as a window, not a shield. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- Canvas overlaps substantially with competitors — divergence property absent\n- ERRC Eliminate row is blank or uncommitted\n- Non-customer research absent — analysis based only on current customers\n- Value proposition requires more than one sentence to explain\n- Raise+Create costs exceed Eliminate+Reduce savings — model doesn't close\n- Opportunity is in a space where a network-effects incumbent already operates\n\n## Verification\n\n- [ ] Current canvas drawn with buyer-perceived scores, convergence visible\n- [ ] Non-customers researched across ≥2 tiers, shared dissatisfaction identified\n- [ ] Six Paths applied with specific structural question per path\n- [ ] ERRC Eliminate+Reduce substantively populated, arithmetic checked\n- [ ] Target canvas passes all three properties: focus, divergence, tagline\n- [ ] Non-customer utility validation complete — \"never seen this before\" confirmed or ERRC iterated\n- [ ] Imitation timeline estimated, moat-building actions identified\n\n---\n\n*Part of **deciqAI Knowledge Skills** — 189 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. **See it run → https://www.deciqai.com/c/blue-ocean-strategy** · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.*\n\nFile v1.0.4:_meta.json\n\n{\n  \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n  \"slug\": \"blue-ocean-strategy\",\n  \"version\": \"1.0.4\",\n  \"publishedAt\": 1783595754398\n}\n\nFile v1.0.4:references/sources.md\n\n# Sources — blue-ocean-strategy\n\n> *Primary sources for the [blue-ocean-strategy](../SKILL.md) skill.*\n\n- Kim, W.C. & Mauborgne, R. (2005). *Blue Ocean Strategy: How to Create Uncontested Market Space and Make the Competition Irrelevant.* Harvard Business Review Press. Verbatim: \"Value innovation is the cornerstone of blue ocean strategy. We call it value innovation because instead of focusing on beating the competition, you focus on making the competition irrelevant by creating a leap in value for buyers and your company, thereby opening up new and uncontested market space.\" (p. 12) and \"The simultaneous pursuit of differentiation and low cost... is what we call value innovation.\" (p. 13). Publisher: https://store.hbr.org/ (search \"Blue Ocean Strategy\"); author site: https://www.blueoceanstrategy.com/\n\n- Kim, W.C. & Mauborgne, R. (1999). \"Creating New Market Space.\" *Harvard Business Review*, January–February 1999. Introduces the Six Paths framework in an HBR article prior to the book. Verbatim: \"Instead of looking within the accepted boundaries that define how we compete, managers can look systematically across them.\" https://hbr.org/1999/01/creating-new-market-space\n\n- Kim, W.C. & Mauborgne, R. \"Value Innovation: The Strategic Logic of High Growth.\" *Harvard Business Review*, originally January–February 1997 (subsequently reissued). An early articulation of the value-innovation logic later developed, with the broader strategic-move research base, in the 2005 book. https://hbr.org/1997/01/value-innovation-the-strategic-logic-of-high-growth\n\n- Kim, W.C. & Mauborgne, R. (2017). *Blue Ocean Shift: Beyond Competing.* Hachette Books. Extends the framework with the \"humanness process\" for organizational change management in blue ocean transitions. https://www.blueoceanstrategy.com/bos-book/blue-ocean-shift/\n\n- Yellow Tail case data: Casella Wines'/[yellow tail]'s widely reported US launch (2001) and rapid rise; the brand is commonly reported as the leading imported wine into the US in the years immediately following launch (~2003). Trade press (e.g., Wine Spectator, Impact Databank) and industry bodies such as the Wine Institute (https://wineinstitute.org/) track US wine market data; exact rank/year should be re-verified against a specific report before citing a precise figure.\n\n- Contemporary context for the 2024–2026 vertical/agentic-AI example: the major general assistants and their public product/pricing pages — OpenAI ChatGPT (https://openai.com/chatgpt/), Google Gemini (https://gemini.google.com/), Anthropic Claude (https://www.anthropic.com/claude), Microsoft Copilot (https://copilot.microsoft.com/), Meta AI (https://www.meta.ai/). Used to substantiate the convergence of the general-assistant value curve and the roughly $20/month consumer-tier price band as of early 2026.\n\n- The 2024–2026 industry shift toward agentic/tool-using AI, large-scale AI capital expenditure, and vertical AI applications is drawn from ongoing public reporting as of early 2026 (e.g., The Wall Street Journal, The Information, and Stratechery — https://stratechery.com/). Specific figures are described in qualified terms in the example because point-in-time values move quickly; only the durable market structure is asserted.\n\n**What is not cited and why:** Cirque du Soleil's early revenue figures come from Kim & Mauborgne's own 2005 text and updated 2015 edition — they are the primary researchers who documented the case. Later popular accounts of the Cirque story (Forbes, Inc. magazine, business school case adaptations) often recite these numbers without independent sourcing; this skill uses the original authors' documentation. The claim that Yellow Tail became the best-selling imported wine in the US by 2003 is supported by Wine Institute import statistics, not by Casella Wines' marketing materials alone.\n\nFile v1.0.4:examples/cirque-du-soleil-1984.md\n\n# Method in Action: Cirque du Soleil (1984)\n\n> *Example for the [blue-ocean-strategy](../SKILL.md) skill.*\n\nA documented case of value innovation applied to a declining industry, reconstructing market boundaries without a technology breakthrough.\n\n**Step 1 — Current canvas.** In 1984, the traditional circus industry competed on: star performers and star animals (cost drivers), multiple simultaneous rings (breadth), arena venues, classic \"big top\" atmosphere, thrill and danger, and child-focused entertainment. Competitors' strategy canvases were nearly identical. The industry was in decline — declining attendance, animal welfare pressure, high operating costs.\n\n**Step 2 — Non-customers.** The second and third tiers were large: adults who had stopped attending circuses (childhood interest, nothing for adult sensibility), and the corporate entertainment buyer who needed an event with cultural cachet that a circus lacked. These groups were not reached by existing circus marketing because the product offered nothing specifically for them.\n\n**Step 3 — Six Paths.** Path 1 (substitute industries): adults seeking entertainment also attended theater, opera, and Broadway — experiences offering narrative, artistry, and prestige that circus lacked. Path 2: no strategic group between mass-market circus and high-art Broadway existed. Path 5: the circus was almost entirely thrill/stunt-functional; no emotional or aesthetic dimension had been developed.\n\n**Step 4 — ERRC grid:**\n- *Eliminate*: star performers (expensive; adults don't need celebrity animals or human stars), animal shows (high cost + reputational risk), multiple rings (divided audience attention), aisle concession sales\n- *Reduce*: thrill/danger elements (retained as aesthetic, not as primary driver), classic mass-market promotional framing\n- *Raise*: unique venue experience (bespoke tent design), technical production quality\n- *Create*: themed narrative (each show tells a complete story), refined artistic environment, music composed for each show, Broadway-style venue experience, adult emotional engagement, ticketing at premium-entertainment price point\n\n**Step 5 — Target canvas.** The result was a strategy canvas that looked nothing like traditional circus: high on narrative, artistry, venue quality, and thematic coherence; near-zero on animal acts, star performers, and multi-ring complexity. Ticket prices were set at 5–10× traditional circus levels, targeting corporate buyers and adults who had never attended a circus in their adult lives.\n\n**Step 6 — Buyer utility.** The utility gap that mattered was \"entertainment adults can proudly attend and recommend.\" The non-customer response: corporate event planners and adult entertainment-seekers responded to Cirque's early shows with exactly the \"never seen anything like this\" signal. By the early 2000s, Cirque du Soleil had annual revenues exceeding $800M across productions on six continents — creating a market that did not previously exist.\n\n**ERRC arithmetic check:** Star performers and animals were among the largest cost items in traditional circus. Eliminating them — alongside removing the multi-ring infrastructure and aisle sales operations — funded the production investment in composed music, theatrical staging, and bespoke venues at a higher ticket price point.\n\n*Sources: Kim, W.C. & Mauborgne, R. (2005). Blue Ocean Strategy. Harvard Business Review Press, pp. 1–20 (Cirque du Soleil as opening case); pp. 25–47 (ERRC grid and strategy canvas methodology). Revenue figures: Kim & Mauborgne, Blue Ocean Strategy, Updated Edition (2015), p. 4.*\n\nFile v1.0.4:examples/vertical-agentic-ai-2024-2026.md\n\n# Method in Action: Escaping the Red Ocean of General AI Chatbots (2024–2026)\n\n> *Example for the [blue-ocean-strategy](../SKILL.md) skill.*\n\nBy 2024–2026, general-purpose AI chatbots had become a textbook red ocean. A handful of well-funded assistants — OpenAI's ChatGPT, Google's Gemini, Anthropic's Claude, Microsoft Copilot, Meta AI, and a long tail of open-weight models — converged on the same value curve: a chat box, a general model, broad knowledge, and a monthly subscription in a similar price band (consumer tiers commonly around $20/month as of early 2026). Underlying model capability was expensive to build yet increasingly hard to differentiate at the surface, and reported industry AI capital expenditure ran into the tens of billions of dollars per major player per year. The strategic question a vertical software team faced: *how do we avoid competing head-to-head with trillion-dollar platforms on \"best general chatbot\"?* Blue Ocean answers: stop competing on that curve. This walks the anchor case — **vertical, agentic AI built around one industry's actual workflow** — through the skill's six process steps.\n\n**Step 1 — Current strategy canvas (As-Is).** The general-assistant category converged on a recognizable set of buyer-perceived factors, each scored 1–5 for a typical leading chatbot:\n\n| Factor | General chatbot (typical) |\n|---|---|\n| Breadth of general knowledge | 5 |\n| Raw model reasoning quality | 4–5 |\n| Conversational, open-ended UX | 5 |\n| Price competitiveness (low $/mo) | 3 (converged ~$20) |\n| Fits a specific job's workflow end-to-end | 1 |\n| Takes real actions in the user's systems of record | 1 |\n| Verifiable, auditable, domain-correct output | 2 |\n| Accountability for a completed outcome | 1 |\n\nEvery major assistant draws nearly the same curve — high on general capability and open-ended chat, low on doing a specific job to completion inside a specific system. That convergence is the red ocean.\n\n**Step 2 — Three tiers of non-customers.** The decisive input was people who were *not* buying a general chatbot seat, or were paying but not getting a job done:\n- *Soon-to-be (dissatisfied users):* professionals who tried a chatbot for real work but reverted to legacy tools because the assistant produced a draft, not a finished, correct, filed outcome — it lived in a separate tab, disconnected from their systems of record.\n- *Refusing (using substitutes):* teams solving the workflow with incumbent vertical software plus manual labor, or with outsourced/offshore human process work — refusing general AI because it was unaccountable and did not integrate.\n- *Unexplored:* regulated and high-stakes functions (clinical documentation, legal review, accounting, claims) that had never seriously considered a consumer chatbot because generic output carried unacceptable audit and liability risk.\n\nShared dissatisfaction across all three: *\"It can talk about my job, but it can't do my job.\"*\n\n**Step 3 — Six Paths.** \n- *Path 1 (substitute industries):* the real substitute is not another chatbot — it is the incumbent SaaS suite and the human labor doing the workflow today. Benchmark against those, not against Gemini.\n- *Path 3 (buyer chain):* the economic buyer is a function owner (a clinic administrator, a firm's operations lead) who buys *outcomes and hours saved*, not a curious individual buying a general model seat.\n- *Path 4 (complementary offerings):* the value sits in integration, data connectors, verification, and audit trails wrapped *around* a model — not in the model alone.\n- *Path 5 (functional vs. emotional):* general assistants sell open-ended possibility; the vertical buyer wants a bounded, reliable, functional guarantee that a specific task is done right.\n\nPrimary opportunity selected: an **agent that owns one industry workflow end-to-end** — integrated into the systems of record, taking actions, and producing verifiable, accountable output.\n\n**Step 4 — ERRC grid.**\n- *Eliminate:* the open-ended \"ask me anything\" general-knowledge positioning; the burden on the user to prompt, verify, and re-enter the result into their real system.\n- *Reduce:* surface breadth (support one workflow deeply, not all of them); dependence on the user's prompting skill.\n- *Raise:* domain correctness and verifiability; depth of integration into existing systems of record; accountability for a completed outcome.\n- *Create:* autonomous multi-step action inside the workflow; a domain-specific audit trail; outcome- or usage-based pricing tied to work actually completed rather than a flat seat.\n\n*Arithmetic check.* Eliminating the general-model arms race is the cost lever: a vertical product can build a thinner orchestration and verification layer on top of existing frontier models via API rather than funding the multi-billion-dollar training capex the platforms carry. Those eliminated/reduced costs fund the Raise/Create investments (integrations, domain evaluation, guardrails). Savings on the cost side exceed the added spend on the value side — this passes the value-innovation test rather than being differentiation-at-higher-cost.\n\n**Step 5 — Target strategy canvas (To-Be).** The vertical-agentic curve diverges sharply: near-zero on general breadth and open-ended chat, high on workflow-fit, action-taking, verifiability, and outcome accountability — exactly the factors where general chatbots score 1–2.\n- *Focus:* three to four dimensions (workflow-fit, action-taking, verifiable/auditable output, outcome accountability).\n- *Divergence:* an inverted curve versus the general-assistant pack, not a taller version of the same shape.\n- *Tagline a non-customer understands in one sentence:* *\"It doesn't chat about the job — it does the job, in your systems, and you can audit every step.\"*\n\n**Step 6 — Buyer utility validation.** Stop-rule: does the function owner say *\"I've never seen anything that actually closes this loop\"* — or *\"nice demo, but I still wouldn't switch\"*? The signal to pursue is a refusing/unexplored non-customer (a team currently using incumbent SaaS plus manual labor) adopting because the agent completes and files the work, not because it has a marginally better model. If the response is the second — polite interest, no switch — the Eliminate row is under-committed (the product is still a general chatbot with a domain skin) and ERRC must iterate.\n\n**Caveat — blue oceans turn red.** This water is filling fast: through 2024–2026 the platforms themselves pushed toward agents and tool use, and vertical AI startups multiplied. The durable moat is not the model — it is the integrations, proprietary workflow data, and switching costs accumulated inside the customer's systems of record. Treat the value innovation as a window, and build the moat from day one (see [switching-costs](../../switching-costs/SKILL.md) and [first-mover-advantage](../../first-mover-advantage/SKILL.md)).\n\nThe mapped steps:\n1. Current canvas: general chatbots converged on breadth/chat/~$20 price, near-zero on doing a specific job in a specific system — red ocean visible\n2. Non-customers: soon-to-be (reverted to legacy tools), refusing (incumbent SaaS + manual labor), unexplored (regulated high-stakes functions) — shared dissatisfaction: \"it can talk about my job, not do it\"\n3. Six Paths: Path 1 (substitute = incumbent SaaS + human labor), Path 3 (buyer = function owner buying outcomes), Path 4 (value in integration/audit around the model), Path 5 (functional guarantee over open-ended possibility)\n4. ERRC: Eliminate general positioning/user verification burden; Reduce breadth/prompt-dependence; Raise correctness/integration/accountability; Create autonomous action/audit trail/outcome pricing — eliminated training-capex arms race funds the value jump\n5. Target canvas: inverted, focused curve; one-sentence tagline; divergence from the general-assistant pack\n6. Buyer utility: validated when a substitute-using non-customer switches because the loop closes, not because the model is marginally better\n\n*Sources: Kim, W.C. & Mauborgne, R. (2005). *Blue Ocean Strategy.* Harvard Business Review Press, ch. 1–2 (value innovation, strategy canvas, ERRC, non-customer tiers, Six Paths). Contemporary market context — the convergence of general assistants (ChatGPT, Gemini, Claude, Microsoft Copilot, Meta AI), the roughly $20/month consumer-tier price band, large-scale AI capital expenditure, and the 2024–2026 shift toward agentic/tool-using AI and vertical AI applications — is drawn from widely reported public coverage as of early 2026 (e.g., the companies' own product pages and pricing pages; ongoing reporting in outlets such as The Wall Street Journal, The Information, and Stratechery). Figures are described in qualified terms because exact, current numbers move quickly; this example asserts only the durable, well-documented structure of the market, not precise point-in-time values.*\n\nFile v1.0.4:examples/yellow-tail-wine-2001.md\n\n# Method in Action: [yellow tail] Wine (2001–2003)\n\n> *Example for the [blue-ocean-strategy](../SKILL.md) skill.*\n\nCasella Wines, a family-owned Australian winery, entered the crowded US wine market in 2001 and within roughly two years held the leading position among imported wine brands — not by making better wine on the industry's terms, but by refusing those terms. Kim and Mauborgne document the case as a canonical value-innovation move in a consumer goods category.\n\n**Step 1 — Current canvas.** The US wine industry competed on a converged set of factors: price per bottle, enological terminology and distinctions on the label, above-the-line marketing, aging quality, vineyard prestige and legacy, taste complexity, and breadth of the wine range. Premium and budget wines drew the same curve shape at different heights — a textbook red ocean. Despite intense competition, US per-capita wine consumption was stagnant.\n\n**Step 2 — Non-customers.** The decisive input was not wine drinkers but the far larger population of US adults who drank beer, spirits, and ready-to-drink cocktails instead — refusing non-customers roughly three times the size of the wine market. Their shared dissatisfaction: wine felt pretentious and intimidating, the taste was challenging, and the wall of labels made selection an anxiety-inducing chore rather than a pleasure.\n\n**Step 3 — Six Paths.** Path 1 (substitute industries) drove the move: Casella looked across to beer and cocktails and asked what made those drinks approachable — easy drinking, easy selection, fun. Path 5 (functional vs. emotional) reinforced it: the wine industry sold connoisseurship and status; the substitute industries sold uncomplicated social enjoyment.\n\n**Step 4 — ERRC grid.**\n- *Eliminate*: enological terminology and distinctions, aging qualities, above-the-line marketing\n- *Reduce*: taste complexity, wine range (launched with just two wines — a Chardonnay and a Shiraz), vineyard prestige\n- *Raise*: price relative to budget wines, retail store involvement (retail staff became enthusiastic advocates for an easy-to-sell bottle)\n- *Create*: easy drinking, ease of selection (one striking kangaroo label, same bottle for red and white), fun and adventure\n\nThe arithmetic closed: dropping aging, promotion spend, and range breadth cut structural cost, funding a soft, approachable wine sold above the budget tier.\n\n**Step 5 — Target canvas.** The [yellow tail] curve diverged sharply from both premium and budget wine: near-zero on prestige, terminology, and complexity; high on the newly created factors. Focus: three to four dimensions. Tagline a non-customer understood instantly: a fun, easy wine you don't need to know anything about.\n\n**Step 6 — Buyer utility.** Beer and cocktail drinkers who \"didn't drink wine\" bought it — the new-demand signal, not share taken from rivals on the old curve. By August 2003 [yellow tail] was the number one imported wine in the US market, outpacing established French and Italian brands, and became the fastest-growing imported wine brand in US history to that point.\n\nThe mapped steps:\n1. Current canvas: US wine industry converged on prestige, complexity, terminology, range — red ocean visible\n2. Non-customers: refusing tier (beer/spirits/cocktail drinkers, ~3× the wine market) with shared dissatisfaction — intimidation and selection anxiety\n3. Six Paths: Path 1 (substitute industries: beer and cocktails) and Path 5 (functional vs. emotional) surfaced the opportunity\n4. ERRC grid: Eliminate terminology/aging/promotion; Reduce complexity/range/prestige; Raise price-over-budget/retail involvement; Create easy drinking/easy selection/fun — savings funded the value jump\n5. Target canvas: divergent curve, focused factors, one-sentence tagline\n6. Buyer utility: validated by new demand from non-customers, confirmed by import-market leadership within two years\n\nPrimary source: Kim, W.C. & Mauborgne, R. (2005). *Blue Ocean Strategy: How to Create Uncontested Market Space and Make the Competition Irrelevant.* Harvard Business Review Press, ch. 2 (the strategy canvas and the [yellow tail] case). Market position corroborated by Wine Institute US import statistics (2001–2003). https://www.wineinstitute.org/\n\nFile v1.0.4:skill-card.md\n\n## Description: <br>\nGuides agents through Blue Ocean Strategy analysis to identify uncontested market space, avoid head-to-head competition, and test value innovation with a strategy canvas, non-customer lens, Six Paths, and ERRC grid. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[deciqai](https://clawhub.ai/user/deciqai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers, operators, and strategy teams use this skill to coach or run a structured value innovation audit when products, markets, or industries are converging on price and similar competitive factors. It helps map the current strategy canvas, examine non-customers, generate opportunities through Six Paths, build an ERRC grid, and validate whether a proposed move lowers cost while raising buyer value. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Strategy guidance can be misleading if the current canvas, non-customer evidence, or cost-value arithmetic is incomplete. <br>\nMitigation: Validate buyer-perceived scores, research at least two non-customer tiers, and require the ERRC arithmetic check before acting on recommendations. <br>\nRisk: The framework may suggest eliminating factors that are fixed by regulation, safety standards, or network-effect market structure. <br>\nMitigation: Treat legal and safety requirements as fixed constraints and avoid using the skill when competitive dimensions are fixed or an entrenched network-effects incumbent already owns the space. <br>\n\n\n## Reference(s): <br>\n- [ClawHub skill page](https://clawhub.ai/deciqai/skills/blue-ocean-strategy) <br>\n- [Primary sources](references/sources.md) <br>\n- [Cirque du Soleil worked example](examples/cirque-du-soleil-1984.md) <br>\n- [Yellow Tail Wine worked example](examples/yellow-tail-wine-2001.md) <br>\n- [Vertical agentic AI worked example](examples/vertical-agentic-ai-2024-2026.md) <br>\n- [Blue Ocean Strategy](https://www.blueoceanstrategy.com/) <br>\n- [Creating New Market Space](https://hbr.org/1999/01/creating-new-market-space) <br>\n- [Value Innovation](https://hbr.org/1997/01/value-innovation-the-strategic-logic-of-high-growth) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, guidance] <br>\n**Output Format:** [Markdown analysis with tables, structured checklists, and step-by-step coaching prompts] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May pause at explicit WAIT gates in coach mode; outputs strategy canvas, non-customer map, Six Paths opportunities, ERRC grid, target canvas, and buyer utility validation.] <br>\n\n## Skill Version(s): <br>\n1.0.4 (source: server release evidence) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.3: 6 files, 11704 bytes\n\nFiles: examples/cirque-du-soleil-1984.md (3636b), examples/yellow-tail-wine-2001.md (4270b), references/sources.md (2522b), skill-card.md (2346b), SKILL.md (10068b), _meta.json (138b)\n\nFile v1.0.3:SKILL.md\n\n---\nname: blue-ocean-strategy\ndescription: \"Activate when: user asks 'how do we stop competing on price?', 'what new market can we create?', 'is there a way to differentiate and cut costs at the same time?', describes an industry where all competitors look identical and margins are eroding, or a team is choosing a market entry angle to avoid head-to-head competition.\n  Do NOT activate when: competitive dimensions are fixed by regulation (utilities, certain financial products); or a network-effects incumbent already dominates the space — use disruptive-innovation instead.\"\n---\n\n# Blue Ocean Strategy\n\n## Overview\n\nMost competitive strategy assumes industry boundaries are fixed. Blue Ocean Strategy's core claim: that assumption is optional. Kim and Mauborgne studied 150 strategic moves across 30 industries over 130 years — lasting high growth came from reconstructing market boundaries, not competing harder within them.\n\nThe mechanism is the ERRC grid (Eliminate, Reduce, Raise, Create): Eliminate+Reduce drive cost below industry average; Raise+Create drive buyer value above it — breaking the differentiation/cost trade-off simultaneously. The critical input is the **non-customer lens**: blue oceans are found by studying people who refuse the category, not existing customers.\n\nCompose with: porters-five-forces before; disruptive-innovation as complementary lens; pricing-strategy after ERRC; first-mover-advantage for defense window.\n\n## When to Use\n\nApply when: visible industry convergence (products similar, price is primary differentiator, margins eroding); team choosing market entry angle to avoid commoditized competition; product losing pricing power despite feature improvements; someone asks \"how do we stop competing on price?\" or \"what new market can we create?\"\n\n**When NOT to use:** competitive dimensions fixed by law/safety standards; early-stage startup without sufficient market exposure to identify non-customer patterns; company lacks execution capability for a new value proposition; blue ocean with network-effect protection already exists — use disruptive-innovation.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a specific industry, named competitors, strategic question → run The Process directly.\n- **Coach mode:** user asks \"what is this / does it apply to me?\" → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. **One-line what-it-is.** Blue ocean asks which value dimensions to eliminate, reduce, raise, and invent — so you stop competing on the same terms entirely.\n2. **Check fit.** Match against When to Use / When NOT to use.\n3. **Elicit their real case.** \"Which industry, which competitors, and what value dimensions is everyone competing on today?\"\n> **[WAIT — do not advance until user responds]**\n4. **One step at a time.** Map the current strategy canvas first; only advance to Six Paths after canvas is visible.\n> **[WAIT — do not advance until user responds]**\n5. **Close by naming the payoff.** Identify the value dimension they found that could be *eliminated* without buyer resistance.\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\nRun the **Value Innovation Audit**: map competition → identify non-customers → apply ERRC → validate canvas.\n\n1. **Current strategy canvas (As-Is).** Score 6–8 competitive factors for each major competitor (1–5). Make red-ocean convergence visible.\n2. **Three tiers of non-customers.** (a) Soon-to-be: using but dissatisfied; (b) Refusing: using substitutes; (c) Unexplored: never considered. Ask each: \"What would make this product worth using?\"\n3. **Six Paths.** (1) Substitute industries; (2) Strategic groups; (3) Buyer chain; (4) Complements; (5) Functional vs. emotional; (6) Trends. Generate 2–3 candidate opportunities per path.\n4. **ERRC grid.** Eliminate / Reduce / Raise / Create. Check: Eliminate+Reduce savings > Raise+Create costs? If not, this is differentiation, not value innovation.\n5. **Target canvas (To-Be).** Validate: Focus (3–4 dimensions); Divergence (different curve shape from competitors); Tagline (one sentence a non-customer understands).\n6. **Buyer utility validation.** Stop-rule: do non-customers say \"never seen anything like this\" — or \"that's nice, but I still wouldn't switch\"? If the second, iterate ERRC.\n\n### Output Template\n\n```\nCurrent Canvas: factor table with competitor scores + red-ocean zone assessment\nNon-Customer Map: soon-to-be / refusing / unexplored + shared dissatisfaction\nSix Paths: opportunity per path → primary opportunity selected\nERRC Grid: Eliminate / Reduce / Raise / Create + arithmetic check\nTarget Canvas: To-Be scores + Focus / Divergence / Tagline check\nBuyer Utility: utility gaps closed + non-customer response + stop-rule decision\n```\n\n*→ Method in Action: [Cirque du Soleil (1984)](examples/cirque-du-soleil-1984.md) · [Yellow Tail Wine (2001)](examples/yellow-tail-wine-2001.md)*\n\n## Innovation Packs\n\n| Domain | Canvas convergence (what everyone competes on) | ERRC emphasis | Common failure |\n|---|---|---|---|\n| Consumer goods / food-bev | brand prestige, category expertise, range breadth | Eliminate conventions buyers don't value (Yellow Tail: removed the wine-knowledge requirement); Create ease of selection | eliminating complexity that was never the non-customer's stated reason for refusing — restructuring for convenience, not their value |\n| B2B software | features, integration depth, enterprise compliance | Eliminate customization depth / reduce onboarding friction / raise time-to-value / create self-serve | \"Create\" quietly rebuilds enterprise machinery non-customers don't need — Eliminate is underperforming |\n| Healthcare | facility scale, specialist breadth, coverage networks | Raise/Create convenience and access while Eliminating facility overhead | treating regulatory minimums as eliminable \"industry assumptions\" — they are fixed, map them before ERRC |\n| Travel / airlines | hub networks, seat classes, in-flight amenities | Eliminate lounges, meals, seat classes; Raise departure frequency; Create point-to-point speed priced against driving (Southwest) | benchmarking rival carriers instead of the substitute (the car) — Path 1 skipped |\n\n*Contribute a pack for your domain — see the template at the repo root.*\n\n## Applying It Well\n\n- **Canvas before grid.** Make the red ocean visible first — teams that skip to ERRC over-weight Raise and under-weight Eliminate.\n- **Eliminate is the discipline.** Force at least two items into Eliminate. Eliminating costs without losing buyer value funds the value jump.\n- **Non-customers over customers.** Non-customers reveal structural problems; existing customers suggest incremental improvements.\n- **One sentence test.** If the new value prop requires more than one sentence for a non-customer, the canvas lacks divergence — iterate.\n- **Blue oceans turn red.** Build switching costs and network effects from day one. Use first-mover-advantage.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] Calling slight differentiation \"value innovation\" | Requires *simultaneously* lower cost AND higher buyer value. Better product at higher cost = differentiation. ERRC arithmetic must close. |\n| [D] ERRC grid with empty Eliminate/Reduce rows | Only Raise+Create means costs go up — product improvement, not blue ocean. |\n| [D] Competitor benchmarking treated as strategy canvas | Canvas maps *buyer-perceived* factors, scored by buyer experience — not features from a spec sheet. |\n| [D] \"Found a blue ocean\" before non-customer testing | Without refusing and unexplored non-customer exposure, it's a hypothesis, not an audit. |\n| [D] Confusing \"no competition\" with \"no market\" | No competitors may mean demand must be created. Mistaking it for validated demand leads to over-investment in market education. |\n| [D] Canvas parallel to competitors but spiking on one factor | That is a red-ocean differentiation move. All three properties (focus, divergence, tagline) must pass. |\n| [D] Six Paths used as brainstorm not structured analysis | Each path has a specific question — answer it precisely, or you get noise instead of insight. |\n| [D] Assuming the blue ocean will stay blue | Imitators arrive. Treat value innovation as a window, not a shield. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- Canvas overlaps substantially with competitors — divergence property absent\n- ERRC Eliminate row is blank or uncommitted\n- Non-customer research absent — analysis based only on current customers\n- Value proposition requires more than one sentence to explain\n- Raise+Create costs exceed Eliminate+Reduce savings — model doesn't close\n- Opportunity is in a space where a network-effects incumbent already operates\n\n## Verification\n\n- [ ] Current canvas drawn with buyer-perceived scores, convergence visible\n- [ ] Non-customers researched across ≥2 tiers, shared dissatisfaction identified\n- [ ] Six Paths applied with specific structural question per path\n- [ ] ERRC Eliminate+Reduce substantively populated, arithmetic checked\n- [ ] Target canvas passes all three properties: focus, divergence, tagline\n- [ ] Non-customer utility validation complete — \"never seen this before\" confirmed or ERRC iterated\n- [ ] Imitation timeline estimated, moat-building actions identified\n\n---\n\n*Part of **deciqAI Knowledge Skills** — 164 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. **See it run → https://www.deciqai.com/c/blue-ocean-strategy** · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.*\n\nFile v1.0.3:_meta.json\n\n{\n  \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n  \"slug\": \"blue-ocean-strategy\",\n  \"version\": \"1.0.3\",\n  \"publishedAt\": 1783508107326\n}\n\nFile v1.0.3:references/sources.md\n\n# Sources — blue-ocean-strategy\n\n> *Primary sources for the [blue-ocean-strategy](../SKILL.md) skill.*\n\n- Kim, W.C. & Mauborgne, R. (2005). *Blue Ocean Strategy: How to Create Uncontested Market Space and Make the Competition Irrelevant.* Harvard Business Review Press. Verbatim: \"Value innovation is the cornerstone of blue ocean strategy. We call it value innovation because instead of focusing on beating the competition, you focus on making the competition irrelevant by creating a leap in value for buyers and your company, thereby opening up new and uncontested market space.\" (p. 12) and \"The simultaneous pursuit of differentiation and low cost... is what we call value innovation.\" (p. 13). Publisher page: https://hbr.org/product/blue-ocean-strategy-expanded-edition/10102E-KND-ENG\n\n- Kim, W.C. & Mauborgne, R. (1999). \"Creating New Market Space.\" *Harvard Business Review*, January–February 1999. Introduces the Six Paths framework as a peer-reviewed article prior to the book. Verbatim: \"Instead of looking within the accepted boundaries that define how we compete, managers can look systematically across them.\" https://hbr.org/1999/01/creating-new-market-space\n\n- Kim, W.C. & Mauborgne, R. (2004). \"Value Innovation: The Strategic Logic of High Growth.\" *Harvard Business Review*, July–August 2004. Documents the 150-strategic-move research base. https://hbr.org/2004/07/value-innovation-the-strategic-logic-of-high-growth\n\n- Kim, W.C. & Mauborgne, R. (2017). *Blue Ocean Shift: Beyond Competing.* Hachette Books. Extends the framework with the \"humanness process\" for organizational change management in blue ocean transitions. https://www.blueoceanstrategy.com/bos-book/blue-ocean-shift/\n\n- Yellow Tail case data: Casella Wines/[yellow tail] company filings; Wine Institute US import statistics (2001–2003) confirming market leadership position in imported wine category. https://www.wineinstitute.org/\n\n**What is not cited and why:** Cirque du Soleil's early revenue figures come from Kim & Mauborgne's own 2005 text and updated 2015 edition — they are the primary researchers who documented the case. Later popular accounts of the Cirque story (Forbes, Inc. magazine, business school case adaptations) often recite these numbers without independent sourcing; this skill uses the original authors' documentation. The claim that Yellow Tail became the best-selling imported wine in the US by 2003 is supported by Wine Institute import statistics, not by Casella Wines' marketing materials alone.\n\nFile v1.0.3:examples/cirque-du-soleil-1984.md\n\n# Method in Action: Cirque du Soleil (1984)\n\n> *Example for the [blue-ocean-strategy](../SKILL.md) skill.*\n\nA documented case of value innovation applied to a declining industry, reconstructing market boundaries without a technology breakthrough.\n\n**Step 1 — Current canvas.** In 1984, the traditional circus industry competed on: star performers and star animals (cost drivers), multiple simultaneous rings (breadth), arena venues, classic \"big top\" atmosphere, thrill and danger, and child-focused entertainment. Competitors' strategy canvases were nearly identical. The industry was in decline — declining attendance, animal welfare pressure, high operating costs.\n\n**Step 2 — Non-customers.** The second and third tiers were large: adults who had stopped attending circuses (childhood interest, nothing for adult sensibility), and the corporate entertainment buyer who needed an event with cultural cachet that a circus lacked. These groups were not reached by existing circus marketing because the product offered nothing specifically for them.\n\n**Step 3 — Six Paths.** Path 1 (substitute industries): adults seeking entertainment also attended theater, opera, and Broadway — experiences offering narrative, artistry, and prestige that circus lacked. Path 2: no strategic group between mass-market circus and high-art Broadway existed. Path 5: the circus was almost entirely thrill/stunt-functional; no emotional or aesthetic dimension had been developed.\n\n**Step 4 — ERRC grid:**\n- *Eliminate*: star performers (expensive; adults don't need celebrity animals or human stars), animal shows (high cost + reputational risk), multiple rings (divided audience attention), aisle concession sales\n- *Reduce*: thrill/danger elements (retained as aesthetic, not as primary driver), classic mass-market promotional framing\n- *Raise*: unique venue experience (bespoke tent design), technical production quality\n- *Create*: themed narrative (each show tells a complete story), refined artistic environment, music composed for each show, Broadway-style venue experience, adult emotional engagement, ticketing at premium-entertainment price point\n\n**Step 5 — Target canvas.** The result was a strategy canvas that looked nothing like traditional circus: high on narrative, artistry, venue quality, and thematic coherence; near-zero on animal acts, star performers, and multi-ring complexity. Ticket prices were set at 5–10× traditional circus levels, targeting corporate buyers and adults who had never attended a circus in their adult lives.\n\n**Step 6 — Buyer utility.** The utility gap that mattered was \"entertainment adults can proudly attend and recommend.\" The non-customer response: corporate event planners and adult entertainment-seekers responded to Cirque's early shows with exactly the \"never seen anything like this\" signal. By the early 2000s, Cirque du Soleil had annual revenues exceeding $800M across productions on six continents — creating a market that did not previously exist.\n\n**ERRC arithmetic check:** Star performers and animals were among the largest cost items in traditional circus. Eliminating them — alongside removing the multi-ring infrastructure and aisle sales operations — funded the production investment in composed music, theatrical staging, and bespoke venues at a higher ticket price point.\n\n*Sources: Kim, W.C. & Mauborgne, R. (2005). Blue Ocean Strategy. Harvard Business Review Press, pp. 1–20 (Cirque du Soleil as opening case); pp. 25–47 (ERRC grid and strategy canvas methodology). Revenue figures: Kim & Mauborgne, Blue Ocean Strategy, Updated Edition (2015), p. 4.*\n\nFile v1.0.3:examples/yellow-tail-wine-2001.md\n\n# Method in Action: [yellow tail] Wine (2001–2003)\n\n> *Example for the [blue-ocean-strategy](../SKILL.md) skill.*\n\nCasella Wines, a family-owned Australian winery, entered the crowded US wine market in 2001 and within roughly two years held the leading position among imported wine brands — not by making better wine on the industry's terms, but by refusing those terms. Kim and Mauborgne document the case as a canonical value-innovation move in a consumer goods category.\n\n**Step 1 — Current canvas.** The US wine industry competed on a converged set of factors: price per bottle, enological terminology and distinctions on the label, above-the-line marketing, aging quality, vineyard prestige and legacy, taste complexity, and breadth of the wine range. Premium and budget wines drew the same curve shape at different heights — a textbook red ocean. Despite intense competition, US per-capita wine consumption was stagnant.\n\n**Step 2 — Non-customers.** The decisive input was not wine drinkers but the far larger population of US adults who drank beer, spirits, and ready-to-drink cocktails instead — refusing non-customers roughly three times the size of the wine market. Their shared dissatisfaction: wine felt pretentious and intimidating, the taste was challenging, and the wall of labels made selection an anxiety-inducing chore rather than a pleasure.\n\n**Step 3 — Six Paths.** Path 1 (substitute industries) drove the move: Casella looked across to beer and cocktails and asked what made those drinks approachable — easy drinking, easy selection, fun. Path 5 (functional vs. emotional) reinforced it: the wine industry sold connoisseurship and status; the substitute industries sold uncomplicated social enjoyment.\n\n**Step 4 — ERRC grid.**\n- *Eliminate*: enological terminology and distinctions, aging qualities, above-the-line marketing\n- *Reduce*: taste complexity, wine range (launched with just two wines — a Chardonnay and a Shiraz), vineyard prestige\n- *Raise*: price relative to budget wines, retail store involvement (retail staff became enthusiastic advocates for an easy-to-sell bottle)\n- *Create*: easy drinking, ease of selection (one striking kangaroo label, same bottle for red and white), fun and adventure\n\nThe arithmetic closed: dropping aging, promotion spend, and range breadth cut structural cost, funding a soft, approachable wine sold above the budget tier.\n\n**Step 5 — Target canvas.** The [yellow tail] curve diverged sharply from both premium and budget wine: near-zero on prestige, terminology, and complexity; high on the newly created factors. Focus: three to four dimensions. Tagline a non-customer understood instantly: a fun, easy wine you don't need to know anything about.\n\n**Step 6 — Buyer utility.** Beer and cocktail drinkers who \"didn't drink wine\" bought it — the new-demand signal, not share taken from rivals on the old curve. By August 2003 [yellow tail] was the number one imported wine in the US market, outpacing established French and Italian brands, and became the fastest-growing imported wine brand in US history to that point.\n\nThe mapped steps:\n1. Current canvas: US wine industry converged on prestige, complexity, terminology, range — red ocean visible\n2. Non-customers: refusing tier (beer/spirits/cocktail drinkers, ~3× the wine market) with shared dissatisfaction — intimidation and selection anxiety\n3. Six Paths: Path 1 (substitute industries: beer and cocktails) and Path 5 (functional vs. emotional) surfaced the opportunity\n4. ERRC grid: Eliminate terminology/aging/promotion; Reduce complexity/range/prestige; Raise price-over-budget/retail involvement; Create easy drinking/easy selection/fun — savings funded the value jump\n5. Target canvas: divergent curve, focused factors, one-sentence tagline\n6. Buyer utility: validated by new demand from non-customers, confirmed by import-market leadership within two years\n\nPrimary source: Kim, W.C. & Mauborgne, R. (2005). *Blue Ocean Strategy: How to Create Uncontested Market Space and Make the Competition Irrelevant.* Harvard Business Review Press, ch. 2 (the strategy canvas and the [yellow tail] case). Market position corroborated by Wine Institute US import statistics (2001–2003). https://www.wineinstitute.org/\n\nFile v1.0.3:skill-card.md\n\n## Description: <br>\nGuides an agent through Blue Ocean Strategy analysis for identifying uncontested market space, using strategy canvases, non-customer research, Six Paths, and ERRC grids. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[deciqai](https://clawhub.ai/user/deciqai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers, strategists, and business teams use this skill to structure market-entry and differentiation analysis when products are converging, margins are eroding, or a team wants to avoid competing primarily on price. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Business recommendations may rely on incomplete market assumptions or unverified cited sources. <br>\nMitigation: Treat outputs as advisory, verify cited sources and market assumptions, and review strategic recommendations before making business decisions. <br>\n\n\n## Reference(s): <br>\n- [Blue Ocean Strategy skill page](https://clawhub.ai/deciqai/skills/blue-ocean-strategy) <br>\n- [Primary sources](references/sources.md) <br>\n- [Cirque du Soleil example](examples/cirque-du-soleil-1984.md) <br>\n- [Yellow Tail Wine example](examples/yellow-tail-wine-2001.md) <br>\n- [Blue Ocean Strategy book](https://hbr.org/product/blue-ocean-strategy-expanded-edition/10102E-KND-ENG) <br>\n- [Creating New Market Space](https://hbr.org/1999/01/creating-new-market-space) <br>\n- [Value Innovation: The Strategic Logic of High Growth](https://hbr.org/2004/07/value-innovation-the-strategic-logic-of-high-growth) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [guidance, markdown, text] <br>\n**Output Format:** [Markdown guidance with structured strategy-analysis sections and tables] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Produces advisory business-strategy analysis, questions, checklists, ERRC grids, strategy canvases, and validation prompts.] <br>\n\n## Skill Version(s): <br>\n1.0.3 (source: server-resolved release metadata) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.2: 6 files, 11982 bytes\n\nFiles: examples/cirque-du-soleil-1984.md (3636b), examples/yellow-tail-wine-2001.md (4270b), references/sources.md (2522b), skill-card.md (2764b), SKILL.md (10177b), _meta.json (138b)\n\nFile v1.0.2:SKILL.md\n\n---\nname: blue-ocean-strategy\ndescription: \"Activate when: user asks 'how do we stop competing on price?', 'what new market can we create?', 'is there a way to differentiate and cut costs at the same time?', describes an industry where all competitors look identical and margins are eroding, or a team is choosing a market entry angle to avoid head-to-head competition.\n  Do NOT activate when: competitive dimensions are fixed by regulation (utilities, certain financial products); or a network-effects incumbent already dominates the space — use disruptive-innovation instead.\"\n---\n\n# Blue Ocean Strategy\n\n## Overview\n\nMost competitive strategy assumes industry boundaries are fixed. Blue Ocean Strategy's core claim: that assumption is optional. Kim and Mauborgne studied 150 strategic moves across 30 industries over 130 years — lasting high growth came from reconstructing market boundaries, not competing harder within them.\n\nThe mechanism is the ERRC grid (Eliminate, Reduce, Raise, Create): Eliminate+Reduce drive cost below industry average; Raise+Create drive buyer value above it — breaking the differentiation/cost trade-off simultaneously. The critical input is the **non-customer lens**: blue oceans are found by studying people who refuse the category, not existing customers.\n\nCompose with: porters-five-forces before; disruptive-innovation as complementary lens; pricing-strategy after ERRC; first-mover-advantage for defense window.\n\n## When to Use\n\nApply when: visible industry convergence (products similar, price is primary differentiator, margins eroding); team choosing market entry angle to avoid commoditized competition; product losing pricing power despite feature improvements; someone asks \"how do we stop competing on price?\" or \"what new market can we create?\"\n\n**When NOT to use:** competitive dimensions fixed by law/safety standards; early-stage startup without sufficient market exposure to identify non-customer patterns; company lacks execution capability for a new value proposition; blue ocean with network-effect protection already exists — use disruptive-innovation.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a specific industry, named competitors, strategic question → run The Process directly.\n- **Coach mode:** user asks \"what is this / does it apply to me?\" → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. **One-line what-it-is.** Blue ocean asks which value dimensions to eliminate, reduce, raise, and invent — so you stop competing on the same terms entirely.\n2. **Check fit.** Match against When to Use / When NOT to use.\n3. **Elicit their real case.** \"Which industry, which competitors, and what value dimensions is everyone competing on today?\"\n> **[WAIT — do not advance until user responds]**\n4. **One step at a time.** Map the current strategy canvas first; only advance to Six Paths after canvas is visible.\n> **[WAIT — do not advance until user responds]**\n5. **Close by naming the payoff.** Identify the value dimension they found that could be *eliminated* without buyer resistance.\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\nRun the **Value Innovation Audit**: map competition → identify non-customers → apply ERRC → validate canvas.\n\n1. **Current strategy canvas (As-Is).** Score 6–8 competitive factors for each major competitor (1–5). Make red-ocean convergence visible.\n2. **Three tiers of non-customers.** (a) Soon-to-be: using but dissatisfied; (b) Refusing: using substitutes; (c) Unexplored: never considered. Ask each: \"What would make this product worth using?\"\n3. **Six Paths.** (1) Substitute industries; (2) Strategic groups; (3) Buyer chain; (4) Complements; (5) Functional vs. emotional; (6) Trends. Generate 2–3 candidate opportunities per path.\n4. **ERRC grid.** Eliminate / Reduce / Raise / Create. Check: Eliminate+Reduce savings > Raise+Create costs? If not, this is differentiation, not value innovation.\n5. **Target canvas (To-Be).** Validate: Focus (3–4 dimensions); Divergence (different curve shape from competitors); Tagline (one sentence a non-customer understands).\n6. **Buyer utility validation.** Stop-rule: do non-customers say \"never seen anything like this\" — or \"that's nice, but I still wouldn't switch\"? If the second, iterate ERRC.\n\n### Output Template\n\n```\nCurrent Canvas: factor table with competitor scores + red-ocean zone assessment\nNon-Customer Map: soon-to-be / refusing / unexplored + shared dissatisfaction\nSix Paths: opportunity per path → primary opportunity selected\nERRC Grid: Eliminate / Reduce / Raise / Create + arithmetic check\nTarget Canvas: To-Be scores + Focus / Divergence / Tagline check\nBuyer Utility: utility gaps closed + non-customer response + stop-rule decision\n```\n\n*→ Method in Action: [Cirque du Soleil (1984)](examples/cirque-du-soleil-1984.md) · [Yellow Tail Wine (2001)](examples/yellow-tail-wine-2001.md)*\n\n## Innovation Packs\n\n| Domain | Canvas convergence (what everyone competes on) | ERRC emphasis | Common failure |\n|---|---|---|---|\n| Consumer goods / food-bev | brand prestige, category expertise, range breadth | Eliminate conventions buyers don't value (Yellow Tail: removed the wine-knowledge requirement); Create ease of selection | eliminating complexity that was never the non-customer's stated reason for refusing — restructuring for convenience, not their value |\n| B2B software | features, integration depth, enterprise compliance | Eliminate customization depth / reduce onboarding friction / raise time-to-value / create self-serve | \"Create\" quietly rebuilds enterprise machinery non-customers don't need — Eliminate is underperforming |\n| Healthcare | facility scale, specialist breadth, coverage networks | Raise/Create convenience and access while Eliminating facility overhead | treating regulatory minimums as eliminable \"industry assumptions\" — they are fixed, map them before ERRC |\n| Travel / airlines | hub networks, seat classes, in-flight amenities | Eliminate lounges, meals, seat classes; Raise departure frequency; Create point-to-point speed priced against driving (Southwest) | benchmarking rival carriers instead of the substitute (the car) — Path 1 skipped |\n\n*Contribute a pack for your domain — see the template at the repo root.*\n\n## Applying It Well\n\n- **Canvas before grid.** Make the red ocean visible first — teams that skip to ERRC over-weight Raise and under-weight Eliminate.\n- **Eliminate is the discipline.** Force at least two items into Eliminate. Eliminating costs without losing buyer value funds the value jump.\n- **Non-customers over customers.** Non-customers reveal structural problems; existing customers suggest incremental improvements.\n- **One sentence test.** If the new value prop requires more than one sentence for a non-customer, the canvas lacks divergence — iterate.\n- **Blue oceans turn red.** Build switching costs and network effects from day one. Use first-mover-advantage.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] Calling slight differentiation \"value innovation\" | Requires *simultaneously* lower cost AND higher buyer value. Better product at higher cost = differentiation. ERRC arithmetic must close. |\n| [D] ERRC grid with empty Eliminate/Reduce rows | Only Raise+Create means costs go up — product improvement, not blue ocean. |\n| [D] Competitor benchmarking treated as strategy canvas | Canvas maps *buyer-perceived* factors, scored by buyer experience — not features from a spec sheet. |\n| [D] \"Found a blue ocean\" before non-customer testing | Without refusing and unexplored non-customer exposure, it's a hypothesis, not an audit. |\n| [D] Confusing \"no competition\" with \"no market\" | No competitors may mean demand must be created. Mistaking it for validated demand leads to over-investment in market education. |\n| [D] Canvas parallel to competitors but spiking on one factor | That is a red-ocean differentiation move. All three properties (focus, divergence, tagline) must pass. |\n| [D] Six Paths used as brainstorm not structured analysis | Each path has a specific question — answer it precisely, or you get noise instead of insight. |\n| [D] Assuming the blue ocean will stay blue | Imitators arrive. Treat value innovation as a window, not a shield. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- Canvas overlaps substantially with competitors — divergence property absent\n- ERRC Eliminate row is blank or uncommitted\n- Non-customer research absent — analysis based only on current customers\n- Value proposition requires more than one sentence to explain\n- Raise+Create costs exceed Eliminate+Reduce savings — model doesn't close\n- Opportunity is in a space where a network-effects incumbent already operates\n\n## Verification\n\n- [ ] Current canvas drawn with buyer-perceived scores, convergence visible\n- [ ] Non-customers researched across ≥2 tiers, shared dissatisfaction identified\n- [ ] Six Paths applied with specific structural question per path\n- [ ] ERRC Eliminate+Reduce substantively populated, arithmetic checked\n- [ ] Target canvas passes all three properties: focus, divergence, tagline\n- [ ] Non-customer utility validation complete — \"never seen this before\" confirmed or ERRC iterated\n- [ ] Imitation timeline estimated, moat-building actions identified\n\n---\n\n*Part of **deciqAI Knowledge Skills** — 163 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. **See it run → https://www.deciqai.com/skills/blue-ocean-strategy?utm_source=clawhub&utm_medium=marketplace&utm_campaign=knowledge-skills&utm_content=blue-ocean-strategy** · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.*\n\nFile v1.0.2:_meta.json\n\n{\n  \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n  \"slug\": \"blue-ocean-strategy\",\n  \"version\": \"1.0.2\",\n  \"publishedAt\": 1783471169072\n}\n\nFile v1.0.2:references/sources.md\n\n# Sources — blue-ocean-strategy\n\n> *Primary sources for the [blue-ocean-strategy](../SKILL.md) skill.*\n\n- Kim, W.C. & Mauborgne, R. (2005). *Blue Ocean Strategy: How to Create Uncontested Market Space and Make the Competition Irrelevant.* Harvard Business Review Press. Verbatim: \"Value innovation is the cornerstone of blue ocean strategy. We call it value innovation because instead of focusing on beating the competition, you focus on making the competition irrelevant by creating a leap in value for buyers and your company, thereby opening up new and uncontested market space.\" (p. 12) and \"The simultaneous pursuit of differentiation and low cost... is what we call value innovation.\" (p. 13). Publisher page: https://hbr.org/product/blue-ocean-strategy-expanded-edition/10102E-KND-ENG\n\n- Kim, W.C. & Mauborgne, R. (1999). \"Creating New Market Space.\" *Harvard Business Review*, January–February 1999. Introduces the Six Paths framework as a peer-reviewed article prior to the book. Verbatim: \"Instead of looking within the accepted boundaries that define how we compete, managers can look systematically across them.\" https://hbr.org/1999/01/creating-new-market-space\n\n- Kim, W.C. & Mauborgne, R. (2004). \"Value Innovation: The Strategic Logic of High Growth.\" *Harvard Business Review*, July–August 2004. Documents the 150-strategic-move research base. https://hbr.org/2004/07/value-innovation-the-strategic-logic-of-high-growth\n\n- Kim, W.C. & Mauborgne, R. (2017). *Blue Ocean Shift: Beyond Competing.* Hachette Books. Extends the framework with the \"humanness process\" for organizational change management in blue ocean transitions. https://www.blueoceanstrategy.com/bos-book/blue-ocean-shift/\n\n- Yellow Tail case data: Casella Wines/[yellow tail] company filings; Wine Institute US import statistics (2001–2003) confirming market leadership position in imported wine category. https://www.wineinstitute.org/\n\n**What is not cited and why:** Cirque du Soleil's early revenue figures come from Kim & Mauborgne's own 2005 text and updated 2015 edition — they are the primary researchers who documented the case. Later popular accounts of the Cirque story (Forbes, Inc. magazine, business school case adaptations) often recite these numbers without independent sourcing; this skill uses the original authors' documentation. The claim that Yellow Tail became the best-selling imported wine in the US by 2003 is supported by Wine Institute import statistics, not by Casella Wines' marketing materials alone.\n\nFile v1.0.2:examples/cirque-du-soleil-1984.md\n\n# Method in Action: Cirque du Soleil (1984)\n\n> *Example for the [blue-ocean-strategy](../SKILL.md) skill.*\n\nA documented case of value innovation applied to a declining industry, reconstructing market boundaries without a technology breakthrough.\n\n**Step 1 — Current canvas.** In 1984, the traditional circus industry competed on: star performers and star animals (cost drivers), multiple simultaneous rings (breadth), arena venues, classic \"big top\" atmosphere, thrill and danger, and child-focused entertainment. Competitors' strategy canvases were nearly identical. The industry was in decline — declining attendance, animal welfare pressure, high operating costs.\n\n**Step 2 — Non-customers.** The second and third tiers were large: adults who had stopped attending circuses (childhood interest, nothing for adult sensibility), and the corporate entertainment buyer who needed an event with cultural cachet that a circus lacked. These groups were not reached by existing circus marketing because the product offered nothing specifically for them.\n\n**Step 3 — Six Paths.** Path 1 (substitute industries): adults seeking entertainment also attended theater, opera, and Broadway — experiences offering narrative, artistry, and prestige that circus lacked. Path 2: no strategic group between mass-market circus and high-art Broadway existed. Path 5: the circus was almost entirely thrill/stunt-functional; no emotional or aesthetic dimension had been developed.\n\n**Step 4 — ERRC grid:**\n- *Eliminate*: star performers (expensive; adults don't need celebrity animals or human stars), animal shows (high cost + reputational risk), multiple rings (divided audience attention), aisle concession sales\n- *Reduce*: thrill/danger elements (retained as aesthetic, not as primary driver), classic mass-market promotional framing\n- *Raise*: unique venue experience (bespoke tent design), technical production quality\n- *Create*: themed narrative (each show tells a complete story), refined artistic environment, music composed for each show, Broadway-style venue experience, adult emotional engagement, ticketing at premium-entertainment price point\n\n**Step 5 — Target canvas.** The result was a strategy canvas that looked nothing like traditional circus: high on narrative, artistry, venue quality, and thematic coherence; near-zero on animal acts, star performers, and multi-ring complexity. Ticket prices were set at 5–10× traditional circus levels, targeting corporate buyers and adults who had never attended a circus in their adult lives.\n\n**Step 6 — Buyer utility.** The utility gap that mattered was \"entertainment adults can proudly attend and recommend.\" The non-customer response: corporate event planners and adult entertainment-seekers responded to Cirque's early shows with exactly the \"never seen anything like this\" signal. By the early 2000s, Cirque du Soleil had annual revenues exceeding $800M across productions on six continents — creating a market that did not previously exist.\n\n**ERRC arithmetic check:** Star performers and animals were among the largest cost items in traditional circus. Eliminating them — alongside removing the multi-ring infrastructure and aisle sales operations — funded the production investment in composed music, theatrical staging, and bespoke venues at a higher ticket price point.\n\n*Sources: Kim, W.C. & Mauborgne, R. (2005). Blue Ocean Strategy. Harvard Business Review Press, pp. 1–20 (Cirque du Soleil as opening case); pp. 25–47 (ERRC grid and strategy canvas methodology). Revenue figures: Kim & Mauborgne, Blue Ocean Strategy, Updated Edition (2015), p. 4.*\n\nFile v1.0.2:examples/yellow-tail-wine-2001.md\n\n# Method in Action: [yellow tail] Wine (2001–2003)\n\n> *Example for the [blue-ocean-strategy](../SKILL.md) skill.*\n\nCasella Wines, a family-owned Australian winery, entered the crowded US wine market in 2001 and within roughly two years held the leading position among imported wine brands — not by making better wine on the industry's terms, but by refusing those terms. Kim and Mauborgne document the case as a canonical value-innovation move in a consumer goods category.\n\n**Step 1 — Current canvas.** The US wine industry competed on a converged set of factors: price per bottle, enological terminology and distinctions on the label, above-the-line marketing, aging quality, vineyard prestige and legacy, taste complexity, and breadth of the wine range. Premium and budget wines drew the same curve shape at different heights — a textbook red ocean. Despite intense competition, US per-capita wine consumption was stagnant.\n\n**Step 2 — Non-customers.** The decisive input was not wine drinkers but the far larger population of US adults who drank beer, spirits, and ready-to-drink cocktails instead — refusing non-customers roughly three times the size of the wine market. Their shared dissatisfaction: wine felt pretentious and intimidating, the taste was challenging, and the wall of labels made selection an anxiety-inducing chore rather than a pleasure.\n\n**Step 3 — Six Paths.** Path 1 (substitute industries) drove the move: Casella looked across to beer and cocktails and asked what made those drinks approachable — easy drinking, easy selection, fun. Path 5 (functional vs. emotional) reinforced it: the wine industry sold connoisseurship and status; the substitute industries sold uncomplicated social enjoyment.\n\n**Step 4 — ERRC grid.**\n- *Eliminate*: enological terminology and distinctions, aging qualities, above-the-line marketing\n- *Reduce*: taste complexity, wine range (launched with just two wines — a Chardonnay and a Shiraz), vineyard prestige\n- *Raise*: price relative to budget wines, retail store involvement (retail staff became enthusiastic advocates for an easy-to-sell bottle)\n- *Create*: easy drinking, ease of selection (one striking kangaroo label, same bottle for red and white), fun and adventure\n\nThe arithmetic closed: dropping aging, promotion spend, and range breadth cut structural cost, funding a soft, approachable wine sold above the budget tier.\n\n**Step 5 — Target canvas.** The [yellow tail] curve diverged sharply from both premium and budget wine: near-zero on prestige, terminology, and complexity; high on the newly created factors. Focus: three to four dimensions. Tagline a non-customer understood instantly: a fun, easy wine you don't need to know anything about.\n\n**Step 6 — Buyer utility.** Beer and cocktail drinkers who \"didn't drink wine\" bought it — the new-demand signal, not share taken from rivals on the old curve. By August 2003 [yellow tail] was the number one imported wine in the US market, outpacing established French and Italian brands, and became the fastest-growing imported wine brand in US history to that point.\n\nThe mapped steps:\n1. Current canvas: US wine industry converged on prestige, complexity, terminology, range — red ocean visible\n2. Non-customers: refusing tier (beer/spirits/cocktail drinkers, ~3× the wine market) with shared dissatisfaction — intimidation and selection anxiety\n3. Six Paths: Path 1 (substitute industries: beer and cocktails) and Path 5 (functional vs. emotional) surfaced the opportunity\n4. ERRC grid: Eliminate terminology/aging/promotion; Reduce complexity/range/prestige; Raise price-over-budget/retail involvement; Create easy drinking/easy selection/fun — savings funded the value jump\n5. Target canvas: divergent curve, focused factors, one-sentence tagline\n6. Buyer utility: validated by new demand from non-customers, confirmed by import-market leadership within two years\n\nPrimary source: Kim, W.C. & Mauborgne, R. (2005). *Blue Ocean Strategy: How to Create Uncontested Market Space and Make the Competition Irrelevant.* Harvard Business Review Press, ch. 2 (the strategy canvas and the [yellow tail] case). Market position corroborated by Wine Institute US import statistics (2001–2003). https://www.wineinstitute.org/\n\nFile v1.0.2:skill-card.md\n\n## Description: <br>\nGuides agents through Blue Ocean Strategy analysis to help teams find uncontested market space, reduce direct price competition, and test value innovation with non-customers. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[deciqai](https://clawhub.ai/user/deciqai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nBusiness strategists, product leaders, founders, and consultants use this skill to map red-ocean competition, analyze non-customers, apply the ERRC grid, and validate a differentiated value proposition before entering or repositioning in a market. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Business recommendations may be incomplete, incorrect, or unsuitable for a specific market, legal, financial, or operational context. <br>\nMitigation: Treat outputs as decision support and independently validate market research, legal constraints, financial assumptions, and operational feasibility before acting. <br>\nRisk: A strategy may be labeled a blue ocean without sufficient non-customer validation or cost-value arithmetic. <br>\nMitigation: Require the current canvas, non-customer map, ERRC arithmetic check, target canvas, and buyer utility stop-rule before using the analysis for planning. <br>\n\n\n## Reference(s): <br>\n- [Primary Sources](references/sources.md) <br>\n- [Cirque du Soleil Method Example](examples/cirque-du-soleil-1984.md) <br>\n- [Yellow Tail Wine Method Example](examples/yellow-tail-wine-2001.md) <br>\n- [Blue Ocean Strategy Expanded Edition](https://hbr.org/product/blue-ocean-strategy-expanded-edition/10102E-KND-ENG) <br>\n- [Creating New Market Space](https://hbr.org/1999/01/creating-new-market-space) <br>\n- [Value Innovation: The Strategic Logic of High Growth](https://hbr.org/2004/07/value-innovation-the-strategic-logic-of-high-growth) <br>\n- [Blue Ocean Shift](https://www.blueoceanstrategy.com/bos-book/blue-ocean-shift/) <br>\n- [Wine Institute](https://www.wineinstitute.org/) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Text, Markdown, Guidance] <br>\n**Output Format:** [Markdown with structured strategy tables, checklists, and staged coaching prompts] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Coach mode may stop after a single question and wait for user input before continuing.] <br>\n\n## Skill Version(s): <br>\n1.0.2 (source: server release evidence) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.1: 5 files, 9438 bytes\n\nFiles: examples/cirque-du-soleil-1984.md (3636b), references/sources.md (2522b), skill-card.md (2884b), SKILL.md (9506b), _meta.json (138b)\n\nFile v1.0.1:SKILL.md\n\n---\nname: blue-ocean-strategy\ndescription: \"Activate when: user asks 'how do we stop competing on price?', 'what new market can we create?', 'is there a way to differentiate and cut costs at the same time?', describes an industry where all competitors look identical and margins are eroding, or a team is choosing a market entry angle to avoid head-to-head competition.\n  Do NOT activate when: competitive dimensions are fixed by regulation (utilities, certain financial products); or a network-effects incumbent already dominates the space — use disruptive-innovation instead.\"\n---\n\n# Blue Ocean Strategy\n\n## Overview\n\nMost competitive strategy assumes industry boundaries are fixed. Blue Ocean Strategy's core claim: that assumption is optional. Kim and Mauborgne studied 150 strategic moves across 30 industries over 130 years — lasting high growth came from reconstructing market boundaries, not competing harder within them.\n\nThe mechanism is the ERRC grid (Eliminate, Reduce, Raise, Create): Eliminate+Reduce drive cost below industry average; Raise+Create drive buyer value above it — breaking the differentiation/cost trade-off simultaneously. The critical input is the **non-customer lens**: blue oceans are found by studying people who refuse the category, not existing customers.\n\nCompose with: [porters-five-forces](../porters-five-forces/SKILL.md) before; [disruptive-innovation](../disruptive-innovation/SKILL.md) as complementary lens; [pricing-strategy](../pricing-strategy/SKILL.md) after ERRC; [first-mover-advantage](../first-mover-advantage/SKILL.md) for defense window.\n\n## When to Use\n\nApply when: visible industry convergence (products similar, price is primary differentiator, margins eroding); team choosing market entry angle to avoid commoditized competition; product losing pricing power despite feature improvements; someone asks \"how do we stop competing on price?\" or \"what new market can we create?\"\n\n**When NOT to use:** competitive dimensions fixed by law/safety standards; early-stage startup without sufficient market exposure to identify non-customer patterns; company lacks execution capability for a new value proposition; blue ocean with network-effect protection already exists — use [disruptive-innovation](../disruptive-innovation/SKILL.md).\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a specific industry, named competitors, strategic question → run The Process directly.\n- **Coach mode:** user asks \"what is this / does it apply to me?\" → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. **One-line what-it-is.** Blue ocean asks which value dimensions to eliminate, reduce, raise, and invent — so you stop competing on the same terms entirely.\n2. **Check fit.** Match against When to Use / When NOT to use.\n3. **Elicit their real case.** \"Which industry, which competitors, and what value dimensions is everyone competing on today?\"\n> **[WAIT — do not advance until user responds]**\n4. **One step at a time.** Map the current strategy canvas first; only advance to Six Paths after canvas is visible.\n> **[WAIT — do not advance until user responds]**\n5. **Close by naming the payoff.** Identify the value dimension they found that could be *eliminated* without buyer resistance.\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\nRun the **Value Innovation Audit**: map competition → identify non-customers → apply ERRC → validate canvas.\n\n1. **Current strategy canvas (As-Is).** Score 6–8 competitive factors for each major competitor (1–5). Make red-ocean convergence visible.\n2. **Three tiers of non-customers.** (a) Soon-to-be: using but dissatisfied; (b) Refusing: using substitutes; (c) Unexplored: never considered. Ask each: \"What would make this product worth using?\"\n3. **Six Paths.** (1) Substitute industries; (2) Strategic groups; (3) Buyer chain; (4) Complements; (5) Functional vs. emotional; (6) Trends. Generate 2–3 candidate opportunities per path.\n4. **ERRC grid.** Eliminate / Reduce / Raise / Create. Check: Eliminate+Reduce savings > Raise+Create costs? If not, this is differentiation, not value innovation.\n5. **Target canvas (To-Be).** Validate: Focus (3–4 dimensions); Divergence (different curve shape from competitors); Tagline (one sentence a non-customer understands).\n6. **Buyer utility validation.** Stop-rule: do non-customers say \"never seen anything like this\" — or \"that's nice, but I still wouldn't switch\"? If the second, iterate ERRC.\n\n### Output Template\n\n```\nCurrent Canvas: factor table with competitor scores + red-ocean zone assessment\nNon-Customer Map: soon-to-be / refusing / unexplored + shared dissatisfaction\nSix Paths: opportunity per path → primary opportunity selected\nERRC Grid: Eliminate / Reduce / Raise / Create + arithmetic check\nTarget Canvas: To-Be scores + Focus / Divergence / Tagline check\nBuyer Utility: utility gaps closed + non-customer response + stop-rule decision\n```\n\n*→ Method in Action: [Cirque du Soleil (1984)](examples/cirque-du-soleil-1984.md)*\n\n## Innovation Packs\n\n- **Consumer goods/food-bev:** Eliminate conventions buyers don't value (Yellow Tail: removed wine-knowledge requirement). Stop-rule: if non-customer's stated reason for non-purchase was NOT the complexity you eliminated, you restructured for convenience, not their value.\n- **B2B software:** Canvas converges on features, integration depth, enterprise compliance. ERRC: eliminate customization depth / reduce onboarding friction / raise time-to-value / create self-serve. Stop-rule: if \"Create\" requires rebuilding enterprise security non-customers don't need, Eliminate is underperforming.\n- **Healthcare:** Raise/Create on convenience while Eliminating facility overhead. Stop-rule: if regulatory minimums are indistinguishable from \"industry assumption\" standards, you cannot Eliminate them.\n\n## Applying It Well\n\n- **Canvas before grid.** Make the red ocean visible first — teams that skip to ERRC over-weight Raise and under-weight Eliminate.\n- **Eliminate is the discipline.** Force at least two items into Eliminate. Eliminating costs without losing buyer value funds the value jump.\n- **Non-customers over customers.** Non-customers reveal structural problems; existing customers suggest incremental improvements.\n- **One sentence test.** If the new value prop requires more than one sentence for a non-customer, the canvas lacks divergence — iterate.\n- **Blue oceans turn red.** Build switching costs and network effects from day one. Use [first-mover-advantage](../first-mover-advantage/SKILL.md).\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] Calling slight differentiation \"value innovation\" | Requires *simultaneously* lower cost AND higher buyer value. Better product at higher cost = differentiation. ERRC arithmetic must close. |\n| [D] ERRC grid with empty Eliminate/Reduce rows | Only Raise+Create means costs go up — product improvement, not blue ocean. |\n| [D] Competitor benchmarking treated as strategy canvas | Canvas maps *buyer-perceived* factors, scored by buyer experience — not features from a spec sheet. |\n| [D] \"Found a blue ocean\" before non-customer testing | Without refusing and unexplored non-customer exposure, it's a hypothesis, not an audit. |\n| [D] Confusing \"no competition\" with \"no market\" | No competitors may mean demand must be created. Mistaking it for validated demand leads to over-investment in market education. |\n| [D] Canvas parallel to competitors but spiking on one factor | That is a red-ocean differentiation move. All three properties (focus, divergence, tagline) must pass. |\n| [D] Six Paths used as brainstorm not structured analysis | Each path has a specific question — answer it precisely, or you get noise instead of insight. |\n| [D] Assuming the blue ocean will stay blue | Imitators arrive. Treat value innovation as a window, not a shield. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- Canvas overlaps substantially with competitors — divergence property absent\n- ERRC Eliminate row is blank or uncommitted\n- Non-customer research absent — analysis based only on current customers\n- Value proposition requires more than one sentence to explain\n- Raise+Create costs exceed Eliminate+Reduce savings — model doesn't close\n- Opportunity is in a space where a network-effects incumbent already operates\n\n## Verification\n\n- [ ] Current canvas drawn with buyer-perceived scores, convergence visible\n- [ ] Non-customers researched across ≥2 tiers, shared dissatisfaction identified\n- [ ] Six Paths applied with specific structural question per path\n- [ ] ERRC Eliminate+Reduce substantively populated, arithmetic checked\n- [ ] Target canvas passes all three properties: focus, divergence, tagline\n- [ ] Non-customer utility validation complete — \"never seen this before\" confirmed or ERRC iterated\n- [ ] Imitation timeline estimated, moat-building actions identified\n\n---\n\n*Part of **deciqAI Knowledge Skills** — open-source thinking skills that make rigor executable for AI agents. Built by deciqAI · https://deciqai.com · Contributions welcome — see the template at the repo root.*\n\nFile v1.0.1:_meta.json\n\n{\n  \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n  \"slug\": \"blue-ocean-strategy\",\n  \"version\": \"1.0.1\",\n  \"publishedAt\": 1783456234372\n}\n\nFile v1.0.1:references/sources.md\n\n# Sources — blue-ocean-strategy\n\n> *Primary sources for the [blue-ocean-strategy](../SKILL.md) skill.*\n\n- Kim, W.C. & Mauborgne, R. (2005). *Blue Ocean Strategy: How to Create Uncontested Market Space and Make the Competition Irrelevant.* Harvard Business Review Press. Verbatim: \"Value innovation is the cornerstone of blue ocean strategy. We call it value innovation because instead of focusing on beating the competition, you focus on making the competition irrelevant by creating a leap in value for buyers and your company, thereby opening up new and uncontested market space.\" (p. 12) and \"The simultaneous pursuit of differentiation and low cost... is what we call value innovation.\" (p. 13). Publisher page: https://hbr.org/product/blue-ocean-strategy-expanded-edition/10102E-KND-ENG\n\n- Kim, W.C. & Mauborgne, R. (1999). \"Creating New Market Space.\" *Harvard Business Review*, January–February 1999. Introduces the Six Paths framework as a peer-reviewed article prior to the book. Verbatim: \"Instead of looking within the accepted boundaries that define how we compete, managers can look systematically across them.\" https://hbr.org/1999/01/creating-new-market-space\n\n- Kim, W.C. & Mauborgne, R. (2004). \"Value Innovation: The Strategic Logic of High Growth.\" *Harvard Business Review*, July–August 2004. Documents the 150-strategic-move research base. https://hbr.org/2004/07/value-innovation-the-strategic-logic-of-high-growth\n\n- Kim, W.C. & Mauborgne, R. (2017). *Blue Ocean Shift: Beyond Competing.* Hachette Books. Extends the framework with the \"humanness process\" for organizational change management in blue ocean transitions. https://www.blueoceanstrategy.com/bos-book/blue-ocean-shift/\n\n- Yellow Tail case data: Casella Wines/[yellow tail] company filings; Wine Institute US import statistics (2001–2003) confirming market leadership position in imported wine category. https://www.wineinstitute.org/\n\n**What is not cited and why:** Cirque du Soleil's early revenue figures come from Kim & Mauborgne's own 2005 text and updated 2015 edition — they are the primary researchers who documented the case. Later popular accounts of the Cirque story (Forbes, Inc. magazine, business school case adaptations) often recite these numbers without independent sourcing; this skill uses the original authors' documentation. The claim that Yellow Tail became the best-selling imported wine in the US by 2003 is supported by Wine Institute import statistics, not by Casella Wines' marketing materials alone.\n\nFile v1.0.1:examples/cirque-du-soleil-1984.md\n\n# Method in Action: Cirque du Soleil (1984)\n\n> *Example for the [blue-ocean-strategy](../SKILL.md) skill.*\n\nA documented case of value innovation applied to a declining industry, reconstructing market boundaries without a technology breakthrough.\n\n**Step 1 — Current canvas.** In 1984, the traditional circus industry competed on: star performers and star animals (cost drivers), multiple simultaneous rings (breadth), arena venues, classic \"big top\" atmosphere, thrill and danger, and child-focused entertainment. Competitors' strategy canvases were nearly identical. The industry was in decline — declining attendance, animal welfare pressure, high operating costs.\n\n**Step 2 — Non-customers.** The second and third tiers were large: adults who had stopped attending circuses (childhood interest, nothing for adult sensibility), and the corporate entertainment buyer who needed an event with cultural cachet that a circus lacked. These groups were not reached by existing circus marketing because the product offered nothing specifically for them.\n\n**Step 3 — Six Paths.** Path 1 (substitute industries): adults seeking entertainment also attended theater, opera, and Broadway — experiences offering narrative, artistry, and prestige that circus lacked. Path 2: no strategic group between mass-market circus and high-art Broadway existed. Path 5: the circus was almost entirely thrill/stunt-functional; no emotional or aesthetic dimension had been developed.\n\n**Step 4 — ERRC grid:**\n- *Eliminate*: star performers (expensive; adults don't need celebrity animals or human stars), animal shows (high cost + reputational risk), multiple rings (divided audience attention), aisle concession sales\n- *Reduce*: thrill/danger elements (retained as aesthetic, not as primary driver), classic mass-market promotional framing\n- *Raise*: unique venue experience (bespoke tent design), technical production quality\n- *Create*: themed narrative (each show tells a complete story), refined artistic environment, music composed for each show, Broadway-style venue experience, adult emotional engagement, ticketing at premium-entertainment price point\n\n**Step 5 — Target canvas.** The result was a strategy canvas that looked nothing like traditional circus: high on narrative, artistry, venue quality, and thematic coherence; near-zero on animal acts, star performers, and multi-ring complexity. Ticket prices were set at 5–10× traditional circus levels, targeting corporate buyers and adults who had never attended a circus in their adult lives.\n\n**Step 6 — Buyer utility.** The utility gap that mattered was \"entertainment adults can proudly attend and recommend.\" The non-customer response: corporate event planners and adult entertainment-seekers responded to Cirque's early shows with exactly the \"never seen anything like this\" signal. By the early 2000s, Cirque du Soleil had annual revenues exceeding $800M across productions on six continents — creating a market that did not previously exist.\n\n**ERRC arithmetic check:** Star performers and animals were among the largest cost items in traditional circus. Eliminating them — alongside removing the multi-ring infrastructure and aisle sales operations — funded the production investment in composed music, theatrical staging, and bespoke venues at a higher ticket price point.\n\n*Sources: Kim, W.C. & Mauborgne, R. (2005). Blue Ocean Strategy. Harvard Business Review Press, pp. 1–20 (Cirque du Soleil as opening case); pp. 25–47 (ERRC grid and strategy canvas methodology). Revenue figures: Kim & Mauborgne, Blue Ocean Strategy, Updated Edition (2015), p. 4.*\n\nFile v1.0.1:skill-card.md\n\n## Description: <br>\nGuides agents through Blue Ocean Strategy to map competitive factors, identify non-customers, apply the ERRC grid, and validate value-innovation opportunities. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[deciqai](https://clawhub.ai/user/deciqai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nBusiness strategists, product teams, founders, and consultants use this skill to avoid head-to-head commodity competition by analyzing non-customers, reconstructing market boundaries, and designing a differentiated low-cost value proposition. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Strategic recommendations may be mistaken for validated market research. <br>\nMitigation: Validate market assumptions, non-customer interviews, cost estimates, and buyer utility findings before making business decisions. <br>\nRisk: Users may try to eliminate or reduce requirements that are fixed by regulation, safety standards, or industry constraints. <br>\nMitigation: Review proposed Eliminate and Reduce items with legal, compliance, safety, and domain experts before acting. <br>\nRisk: A proposed blue ocean may already be protected by a network-effects incumbent or may lack validated demand. <br>\nMitigation: Check incumbent dynamics, switching costs, and non-customer willingness to switch before investing in the new value proposition. <br>\n\n\n## Reference(s): <br>\n- [Sources - blue-ocean-strategy](references/sources.md) <br>\n- [Cirque du Soleil (1984) example](examples/cirque-du-soleil-1984.md) <br>\n- [Blue Ocean Strategy, Harvard Business Review Press](https://hbr.org/product/blue-ocean-strategy-expanded-edition/10102E-KND-ENG) <br>\n- [Creating New Market Space](https://hbr.org/1999/01/creating-new-market-space) <br>\n- [Value Innovation: The Strategic Logic of High Growth](https://hbr.org/2004/07/value-innovation-the-strategic-logic-of-high-growth) <br>\n- [Blue Ocean Shift](https://www.blueoceanstrategy.com/bos-book/blue-ocean-shift/) <br>\n- [Wine Institute](https://www.wineinstitute.org/) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Text, Markdown, Guidance, Analysis] <br>\n**Output Format:** [Markdown strategy audit with factor tables, ERRC grids, validation checks, and concise coaching prompts.] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May pause for user input in coach mode; produces strategic advice, not verified market research.] <br>\n\n## Skill Version(s): <br>\n1.0.1 (source: ClawHub release evidence) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.0: 5 files, 9235 bytes\n\nFiles: examples/cirque-du-soleil-1984.md (3636b), references/sources.md (2522b), skill-card.md (2438b), SKILL.md (9506b), _meta.json (138b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: blue-ocean-strategy\ndescription: \"Activate when: user asks 'how do we stop competing on price?', 'what new market can we create?', 'is there a way to differentiate and cut costs at the same time?', describes an industry where all competitors look identical and margins are eroding, or a team is choosing a market entry angle to avoid head-to-head competition.\n  Do NOT activate when: competitive dimensions are fixed by regulation (utilities, certain financial products); or a network-effects incumbent already dominates the space — use disruptive-innovation instead.\"\n---\n\n# Blue Ocean Strategy\n\n## Overview\n\nMost competitive strategy assumes industry boundaries are fixed. Blue Ocean Strategy's core claim: that assumption is optional. Kim and Mauborgne studied 150 strategic moves across 30 industries over 130 years — lasting high growth came from reconstructing market boundaries, not competing harder within them.\n\nThe mechanism is the ERRC grid (Eliminate, Reduce, Raise, Create): Eliminate+Reduce drive cost below industry average; Raise+Create drive buyer value above it — breaking the differentiation/cost trade-off simultaneously. The critical input is the **non-customer lens**: blue oceans are found by studying people who refuse the category, not existing customers.\n\nCompose with: [porters-five-forces](../porters-five-forces/SKILL.md) before; [disruptive-innovation](../disruptive-innovation/SKILL.md) as complementary lens; [pricing-strategy](../pricing-strategy/SKILL.md) after ERRC; [first-mover-advantage](../first-mover-advantage/SKILL.md) for defense window.\n\n## When to Use\n\nApply when: visible industry convergence (products similar, price is primary differentiator, margins eroding); team choosing market entry angle to avoid commoditized competition; product losing pricing power despite feature improvements; someone asks \"how do we stop competing on price?\" or \"what new market can we create?\"\n\n**When NOT to use:** competitive dimensions fixed by law/safety standards; early-stage startup without sufficient market exposure to identify non-customer patterns; company lacks execution capability for a new value proposition; blue ocean with network-effect protection already exists — use [disruptive-innovation](../disruptive-innovation/SKILL.md).\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a specific industry, named competitors, strategic question → run The Process directly.\n- **Coach mode:** user asks \"what is this / does it apply to me?\" → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. **One-line what-it-is.** Blue ocean asks which value dimensions to eliminate, reduce, raise, and invent — so you stop competing on the same terms entirely.\n2. **Check fit.** Match against When to Use / When NOT to use.\n3. **Elicit their real case.** \"Which industry, which competitors, and what value dimensions is everyone competing on today?\"\n> **[WAIT — do not advance until user responds]**\n4. **One step at a time.** Map the current strategy canvas first; only advance to Six Paths after canvas is visible.\n> **[WAIT — do not advance until user responds]**\n5. **Close by naming the payoff.** Identify the value dimension they found that could be *eliminated* without buyer resistance.\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\nRun the **Value Innovation Audit**: map competition → identify non-customers → apply ERRC → validate canvas.\n\n1. **Current strategy canvas (As-Is).** Score 6–8 competitive factors for each major competitor (1–5). Make red-ocean convergence visible.\n2. **Three tiers of non-customers.** (a) Soon-to-be: using but dissatisfied; (b) Refusing: using substitutes; (c) Unexplored: never considered. Ask each: \"What would make this product worth using?\"\n3. **Six Paths.** (1) Substitute industries; (2) Strategic groups; (3) Buyer chain; (4) Complements; (5) Functional vs. emotional; (6) Trends. Generate 2–3 candidate opportunities per path.\n4. **ERRC grid.** Eliminate / Reduce / Raise / Create. Check: Eliminate+Reduce savings > Raise+Create costs? If not, this is differentiation, not value innovation.\n5. **Target canvas (To-Be).** Validate: Focus (3–4 dimensions); Divergence (different curve shape from competitors); Tagline (one sentence a non-customer understands).\n6. **Buyer utility validation.** Stop-rule: do non-customers say \"never seen anything like this\" — or \"that's nice, but I still wouldn't switch\"? If the second, iterate ERRC.\n\n### Output Template\n\n```\nCurrent Canvas: factor table with competitor scores + red-ocean zone assessment\nNon-Customer Map: soon-to-be / refusing / unexplored + shared dissatisfaction\nSix Paths: opportunity per path → primary opportunity selected\nERRC Grid: Eliminate / Reduce / Raise / Create + arithmetic check\nTarget Canvas: To-Be scores + Focus / Divergence / Tagline check\nBuyer Utility: utility gaps closed + non-customer response + stop-rule decision\n```\n\n*→ Method in Action: [Cirque du Soleil (1984)](examples/cirque-du-soleil-1984.md)*\n\n## Innovation Packs\n\n- **Consumer goods/food-bev:** Eliminate conventions buyers don't value (Yellow Tail: removed wine-knowledge requirement). Stop-rule: if non-customer's stated reason for non-purchase was NOT the complexity you eliminated, you restructured for convenience, not their value.\n- **B2B software:** Canvas converges on features, integration depth, enterprise compliance. ERRC: eliminate customization depth / reduce onboarding friction / raise time-to-value / create self-serve. Stop-rule: if \"Create\" requires rebuilding enterprise security non-customers don't need, Eliminate is underperforming.\n- **Healthcare:** Raise/Create on convenience while Eliminating facility overhead. Stop-rule: if regulatory minimums are indistinguishable from \"industry assumption\" standards, you cannot Eliminate them.\n\n## Applying It Well\n\n- **Canvas before grid.** Make the red ocean visible first — teams that skip to ERRC over-weight Raise and under-weight Eliminate.\n- **Eliminate is the discipline.** Force at least two items into Eliminate. Eliminating costs without losing buyer value funds the value jump.\n- **Non-customers over customers.** Non-customers reveal structural problems; existing customers suggest incremental improvements.\n- **One sentence test.** If the new value prop requires more than one sentence for a non-customer, the canvas lacks divergence — iterate.\n- **Blue oceans turn red.** Build switching costs and network effects from day one. Use [first-mover-advantage](../first-mover-advantage/SKILL.md).\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] Calling slight differentiation \"value innovation\" | Requires *simultaneously* lower cost AND higher buyer value. Better product at higher cost = differentiation. ERRC arithmetic must close. |\n| [D] ERRC grid with empty Eliminate/Reduce rows | Only Raise+Create means costs go up — product improvement, not blue ocean. |\n| [D] Competitor benchmarking treated as strategy canvas | Canvas maps *buyer-perceived* factors, scored by buyer experience — not features from a spec sheet. |\n| [D] \"Found","readmeExcerpt":"Skill: Blue Ocean Strategy Owner: deciqai Summary: Activate when: user asks 'how do we stop competing on price?', 'what new market can we create?', 'is there a way to differentiate and cut costs at the same t... Tags: latest:1.0.5 Version history: v1.0.5 | 2026-07-16T17:53:00.934Z | user Description tail link + agents machine-readable metadata line (deciqai.com/s/blue-ocean-strategy.json) v1.0.4 | 2026-07-09T11:15:54","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"Current Canvas: factor table with competitor scores + red-ocean zone assessment\nNon-Customer Map: soon-to-be / refusing / unexplored + shared dissatisfaction\nSix Paths: opportunity per path → primary opportunity selected\nERRC Grid: Eliminate / Reduce / Raise / Create + arithmetic check\nTarget Canvas: To-Be scores + Focus / Divergence / Tagline check\nBuyer Utility: utility gaps closed + non-customer response + stop-rule decision"},{"language":"text","snippet":"Current Canvas: factor table with competitor scores + red-ocean zone assessment\nNon-Customer Map: soon-to-be / refusing / unexplored + shared dissatisfaction\nSix Paths: opportunity per path → primary opportunity selected\nERRC Grid: Eliminate / Reduce / Raise / Create + arithmetic check\nTarget Canvas: To-Be scores + Focus / Divergence / Tagline check\nBuyer Utility: utility gaps closed + non-customer response + stop-rule decision"},{"language":"text","snippet":"Current Canvas: factor table with competitor scores + red-ocean zone assessment\nNon-Customer Map: soon-to-be / refusing / unexplored + shared dissatisfaction\nSix Paths: opportunity per path → primary opportunity selected\nERRC Grid: Eliminate / Reduce / Raise / Create + arithmetic check\nTarget Canvas: To-Be scores + Focus / Divergence / Tagline check\nBuyer Utility: utility gaps closed + non-customer response + stop-rule decision"},{"language":"text","snippet":"Current Canvas: factor table with competitor scores + red-ocean zone assessment\nNon-Customer Map: soon-to-be / refusing / unexplored + shared dissatisfaction\nSix Paths: opportunity per path → primary opportunity selected\nERRC Grid: Eliminate / Reduce / Raise / Create + arithmetic check\nTarget Canvas: To-Be scores + Focus / Divergence / Tagline check\nBuyer Utility: utility gaps closed + non-customer response + stop-rule decision"},{"language":"text","snippet":"Current Canvas: factor table with competitor scores + red-ocean zone assessment\nNon-Customer Map: soon-to-be / refusing / unexplored + shared dissatisfaction\nSix Paths: opportunity per path → primary opportunity selected\nERRC Grid: Eliminate / Reduce / Raise / Create + arithmetic check\nTarget Canvas: To-Be scores + Focus / Divergence / Tagline check\nBuyer Utility: utility gaps closed + non-customer response + stop-rule decision"},{"language":"text","snippet":"Current Canvas: factor table with competitor scores + red-ocean zone assessment\nNon-Customer Map: soon-to-be / refusing / unexplored + shared dissatisfaction\nSix Paths: opportunity per path → primary opportunity selected\nERRC Grid: Eliminate / Reduce / Raise / Create + arithmetic check\nTarget Canvas: To-Be scores + Focus / Divergence / Tagline check\nBuyer Utility: utility gaps closed + non-customer response + stop-rule decision"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: blue-ocean-strategy\ndescription: \"Activate when: user asks 'how do we stop competing on price?', 'what new market can we create?', 'is there a way to differentiate and cut costs at the same time?', describes an industry where all competitors look identical and margins are eroding, or a team is choosing a market entry angle to avoid head-to-head competition.\n  Do NOT activate when: competitive dimensions are fixed by regulation (utilities, certain financial products); or a network-effects incumbent already dominates the space — use disruptive-innovation instead. More: deciqai.com/c/blue-ocean-strategy\"\n---\n\n# Blue Ocean Strategy\n\n## Overview\n\nMost competitive strategy assumes industry boundaries are fixed. Blue Ocean Strategy's core claim: that assumption is optional. Kim and Mauborgne studied 150 strategic moves across 30 industries over 130 years — lasting high growth came from reconstructing market boundaries, not competing harder within them.\n\nThe mechanism is the ERRC grid (Eliminate, Reduce, Raise, Create): Eliminate+Reduce drive cost below industry average; Raise+Create drive buyer value above it — breaking the differentiation/cost trade-off simultaneously. The critical input is the **non-customer lens**: blue oceans are found by studying people who refuse the category, not existing customers.\n\nCompose with: porters-five-forces before; disruptive-innovation as complementary lens; pricing-strategy after ERRC; first-mover-advantage for defense window.\n\n## When to Use\n\nApply when: visible industry convergence (products similar, price is primary differentiator, margins eroding); team choosing market entry angle to avoid commoditized competition; product losing pricing power despite feature improvements; a team asks how to avoid competing head-to-head with AI-native incumbents or trillion-dollar platforms on a commoditized general capability (e.g., \"everyone's shipping the same AI chatbot — where's the uncontested space?\", AI capex arms race, saturated AI adoption); someone asks \"how do we stop competing on price?\" or \"what new market can we create?\"\n\n**When NOT to use:** competitive dimensions fixed by law/safety standards; early-stage startup without sufficient market exposure to identify non-customer patterns; company lacks execution capability for a new value proposition; blue ocean with network-effect protection already exists — use disruptive-innovation.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a specific industry, named competitors, strategic question → run The Process directly.\n- **Coach mode:** user asks \"what is this / does it apply to me?\" → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. **One-line what-it-is.** Blue ocean asks which value dimensions to eliminate, reduce, raise, and invent — so you stop competing on the same terms entirely.\n2. **Check fit.** Match against When to Use / When NOT to use"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n  \"slug\": \"blue-ocean-strategy\",\n  \"version\": \"1.0.5\",\n  \"publishedAt\": 1784224380934\n}"},{"path":"references/sources.md","content":"# Sources — blue-ocean-strategy\n\n> *Primary sources for the [blue-ocean-strategy](../SKILL.md) skill.*\n\n- Kim, W.C. & Mauborgne, R. (2005). *Blue Ocean Strategy: How to Create Uncontested Market Space and Make the Competition Irrelevant.* Harvard Business Review Press. Verbatim: \"Value innovation is the cornerstone of blue ocean strategy. We call it value innovation because instead of focusing on beating the competition, you focus on making the competition irrelevant by creating a leap in value for buyers and your company, thereby opening up new and uncontested market space.\" (p. 12) and \"The simultaneous pursuit of differentiation and low cost... is what we call value innovation.\" (p. 13). Publisher: https://store.hbr.org/ (search \"Blue Ocean Strategy\"); author site: https://www.blueoceanstrategy.com/\n\n- Kim, W.C. & Mauborgne, R. (1999). \"Creating New Market Space.\" *Harvard Business Review*, January–February 1999. Introduces the Six Paths framework in an HBR article prior to the book. Verbatim: \"Instead of looking within the accepted boundaries that define how we compete, managers can look systematically across them.\" https://hbr.org/1999/01/creating-new-market-space\n\n- Kim, W.C. & Mauborgne, R. \"Value Innovation: The Strategic Logic of High Growth.\" *Harvard Business Review*, originally January–February 1997 (subsequently reissued). An early articulation of the value-innovation logic later developed, with the broader strategic-move research base, in the 2005 book. https://hbr.org/1997/01/value-innovation-the-strategic-logic-of-high-growth\n\n- Kim, W.C. & Mauborgne, R. (2017). *Blue Ocean Shift: Beyond Competing.* Hachette Books. Extends the framework with the \"humanness process\" for organizational change management in blue ocean transitions. https://www.blueoceanstrategy.com/bos-book/blue-ocean-shift/\n\n- Yellow Tail case data: Casella Wines'/[yellow tail]'s widely reported US launch (2001) and rapid rise; the brand is commonly reported as the leading imported wine into the US in the years immediately following launch (~2003). Trade press (e.g., Wine Spectator, Impact Databank) and industry bodies such as the Wine Institute (https://wineinstitute.org/) track US wine market data; exact rank/year should be re-verified against a specific report before citing a precise figure.\n\n- Contemporary context for the 2024–2026 vertical/agentic-AI example: the major general assistants and their public product/pricing pages — OpenAI ChatGPT (https://openai.com/chatgpt/), Google Gemini (https://gemini.google.com/), Anthropic Claude (https://www.anthropic.com/claude), Microsoft Copilot (https://copilot.microsoft.com/), Meta AI (https://www.meta.ai/). Used to substantiate the convergence of the general-assistant value curve and the roughly $20/month consumer-tier price band as of early 2026.\n\n- The 2024–2026 industry shift toward agentic/tool-using AI, large-scale AI capital expenditure, and vertical AI applications is drawn from ongoing public reporting as of ea"},{"path":"examples/cirque-du-soleil-1984.md","content":"# Method in Action: Cirque du Soleil (1984)\n\n> *Example for the [blue-ocean-strategy](../SKILL.md) skill.*\n\nA documented case of value innovation applied to a declining industry, reconstructing market boundaries without a technology breakthrough.\n\n**Step 1 — Current canvas.** In 1984, the traditional circus industry competed on: star performers and star animals (cost drivers), multiple simultaneous rings (breadth), arena venues, classic \"big top\" atmosphere, thrill and danger, and child-focused entertainment. Competitors' strategy canvases were nearly identical. The industry was in decline — declining attendance, animal welfare pressure, high operating costs.\n\n**Step 2 — Non-customers.** The second and third tiers were large: adults who had stopped attending circuses (childhood interest, nothing for adult sensibility), and the corporate entertainment buyer who needed an event with cultural cachet that a circus lacked. These groups were not reached by existing circus marketing because the product offered nothing specifically for them.\n\n**Step 3 — Six Paths.** Path 1 (substitute industries): adults seeking entertainment also attended theater, opera, and Broadway — experiences offering narrative, artistry, and prestige that circus lacked. Path 2: no strategic group between mass-market circus and high-art Broadway existed. Path 5: the circus was almost entirely thrill/stunt-functional; no emotional or aesthetic dimension had been developed.\n\n**Step 4 — ERRC grid:**\n- *Eliminate*: star performers (expensive; adults don't need celebrity animals or human stars), animal shows (high cost + reputational risk), multiple rings (divided audience attention), aisle concession sales\n- *Reduce*: thrill/danger elements (retained as aesthetic, not as primary driver), classic mass-market promotional framing\n- *Raise*: unique venue experience (bespoke tent design), technical production quality\n- *Create*: themed narrative (each show tells a complete story), refined artistic environment, music composed for each show, Broadway-style venue experience, adult emotional engagement, ticketing at premium-entertainment price point\n\n**Step 5 — Target canvas.** The result was a strategy canvas that looked nothing like traditional circus: high on narrative, artistry, venue quality, and thematic coherence; near-zero on animal acts, star performers, and multi-ring complexity. Ticket prices were set at 5–10× traditional circus levels, targeting corporate buyers and adults who had never attended a circus in their adult lives.\n\n**Step 6 — Buyer utility.** The utility gap that mattered was \"entertainment adults can proudly attend and recommend.\" The non-customer response: corporate event planners and adult entertainment-seekers responded to Cirque's early shows with exactly the \"never seen anything like this\" signal. By the early 2000s, Cirque du Soleil had annual revenues exceeding $800M across productions on six continents — creating a market that did not previously exist.\n\n**ERRC a"},{"path":"examples/vertical-agentic-ai-2024-2026.md","content":"# Method in Action: Escaping the Red Ocean of General AI Chatbots (2024–2026)\n\n> *Example for the [blue-ocean-strategy](../SKILL.md) skill.*\n\nBy 2024–2026, general-purpose AI chatbots had become a textbook red ocean. A handful of well-funded assistants — OpenAI's ChatGPT, Google's Gemini, Anthropic's Claude, Microsoft Copilot, Meta AI, and a long tail of open-weight models — converged on the same value curve: a chat box, a general model, broad knowledge, and a monthly subscription in a similar price band (consumer tiers commonly around $20/month as of early 2026). Underlying model capability was expensive to build yet increasingly hard to differentiate at the surface, and reported industry AI capital expenditure ran into the tens of billions of dollars per major player per year. The strategic question a vertical software team faced: *how do we avoid competing head-to-head with trillion-dollar platforms on \"best general chatbot\"?* Blue Ocean answers: stop competing on that curve. This walks the anchor case — **vertical, agentic AI built around one industry's actual workflow** — through the skill's six process steps.\n\n**Step 1 — Current strategy canvas (As-Is).** The general-assistant category converged on a recognizable set of buyer-perceived factors, each scored 1–5 for a typical leading chatbot:\n\n| Factor | General chatbot (typical) |\n|---|---|\n| Breadth of general knowledge | 5 |\n| Raw model reasoning quality | 4–5 |\n| Conversational, open-ended UX | 5 |\n| Price competitiveness (low $/mo) | 3 (converged ~$20) |\n| Fits a specific job's workflow end-to-end | 1 |\n| Takes real actions in the user's systems of record | 1 |\n| Verifiable, auditable, domain-correct output | 2 |\n| Accountability for a completed outcome | 1 |\n\nEvery major assistant draws nearly the same curve — high on general capability and open-ended chat, low on doing a specific job to completion inside a specific system. That convergence is the red ocean.\n\n**Step 2 — Three tiers of non-customers.** The decisive input was people who were *not* buying a general chatbot seat, or were paying but not getting a job done:\n- *Soon-to-be (dissatisfied users):* professionals who tried a chatbot for real work but reverted to legacy tools because the assistant produced a draft, not a finished, correct, filed outcome — it lived in a separate tab, disconnected from their systems of record.\n- *Refusing (using substitutes):* teams solving the workflow with incumbent vertical software plus manual labor, or with outsourced/offshore human process work — refusing general AI because it was unaccountable and did not integrate.\n- *Unexplored:* regulated and high-stakes functions (clinical documentation, legal review, accounting, claims) that had never seriously considered a consumer chatbot because generic output carried unacceptable audit and liability risk.\n\nShared dissatisfaction across all three: *\"It can talk about my job, but it can't do my job.\"*\n\n**Step 3 — Six Paths.** \n- *Path 1 (substitute indus"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Activate when: user asks 'how do we stop competing on price?', 'what new market can we create?', 'is there a way to differentiate and cut costs at the same t... Skill: Blue Ocean Strategy Owner: deciqai Summary: Activate when: user asks 'how do we stop competing on price?', 'what new market can we create?', 'is there a way to differentiate and cut costs at the same t... Tags: latest:1.0.5 Version history: v1.0.5 | 2026-07-16T17:53:00.934Z | user Description tail link + agents machine-readable metadata line (deciqai.com/s/blue-ocean-strategy.json) v1.0.4 | 2026-07-09T11:15:54","editorialQuality":{"score":100,"threshold":65,"status":"ready","wordCount":2162,"uniquenessScore":49,"reasons":[]}},"media":{"evidence":{"source":"no-media","verified":false,"confidence":"low","updatedAt":"2026-10-10T15:54:10.266Z","emptyReason":"No screenshots, media assets, or demo links are available."},"primaryImageUrl":null,"mediaAssetCount":0,"assets":[],"demoUrl":null},"ownerResources":{"evidence":{"source":"unclaimed","verified":false,"confidence":"low","updatedAt":"2026-10-10T15:54:10.266Z","emptyReason":"This page has not been claimed by the agent owner."},"hasCustomPage":false,"customPageUpdatedAt":null,"customLinks":[],"structuredLinks":{"docsUrl":null,"demoUrl":null,"supportUrl":null,"pricingUrl":null,"statusUrl":null},"customPage":null},"relatedAgents":{"evidence":{"source":"protocol-neighbors","verified":false,"confidence":"medium","updatedAt":"2026-10-10T21:52:16.325Z","emptyReason":null},"items":[{"id":"8ebccd8e-3863-4187-8355-c3f14e1f9edf","entityType":"agent","canonicalPath":"/agent/iofficeai-aionui","slug":"iofficeai-aionui","name":"AionUi","description":"Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!","url":"https://github.com/iOfficeAI/AionUi","homepage":"https://www.aionui.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-10-09T19:11:12.944Z","createdAt":"2026-02-25T03:38:16.584Z","downloads":null},{"id":"b917f68a-ebff-438e-84f8-3f4b2494c0bc","entityType":"agent","canonicalPath":"/agent/activepieces-activepieces","slug":"activepieces-activepieces","name":"activepieces","description":"AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents","url":"https://github.com/activepieces/activepieces","homepage":"https://www.activepieces.com","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-15T02:22:12.426Z","createdAt":"2026-02-25T03:38:12.412Z","downloads":null},{"id":"5cb26759-3a39-483f-94cf-276a98c13bb8","entityType":"agent","canonicalPath":"/agent/cherryhq-cherry-studio","slug":"cherryhq-cherry-studio","name":"cherry-studio","description":"AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs","url":"https://github.com/CherryHQ/cherry-studio","homepage":"https://cherry-ai.com","source":"GITHUB_REPOS","protocols":["MCP","OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-04-11T14:38:40.986Z","createdAt":"2026-02-25T03:38:19.379Z","downloads":null},{"id":"6f6582d0-5d76-4f0f-b81d-86520247950b","entityType":"agent","canonicalPath":"/agent/copilotkit-copilotkit","slug":"copilotkit-copilotkit","name":"CopilotKit","description":"The Frontend for Agents & Generative UI. React + Angular","url":"https://github.com/CopilotKit/CopilotKit","homepage":"https://docs.copilotkit.ai","source":"GITHUB_REPOS","protocols":["OPENCLAW"],"capabilities":[],"safetyScore":100,"overallRank":70,"updatedAt":"2026-03-25T09:50:57.846Z","createdAt":"2026-02-25T03:39:14.617Z","downloads":null}],"links":{"hub":"/agent","source":"/agent/source/clawhub","protocols":[{"label":"OpenClaw","href":"/agent/protocol/openclew"}]}}}