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Strategic Commitment

Activate when: someone says 'they don't believe we'll follow through', 'how do I make my threat credible?', 'how do we deter a competitor from entering?', 'w... Skill: Strategic Commitment Owner: deciqai Summary: Activate when: someone says 'they don't believe we'll follow through', 'how do I make my threat credible?', 'how do we deter a competitor from entering?', 'w... Tags: latest:1.0.5 Version history: v1.0.5 | 2026-07-24T22:16:02.937Z | user Add TSMC Arizona / AI-capex commitment race case (2020-2026) with founder takeaways; restore agent .json metadata footer v1.0.4 |

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Safety

Downloads

1.1k

Updated

Oct 11, 2026

Version

1.0.5

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.1K downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 1.1K downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.5release · observed Jul 24, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17a4mqcnk515kvaca5ze55d0x88pfpx:strategic-commitment

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: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-deciqai-strategic-commitment/snapshot"

Documentation

CLAWHUB

110,537 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: strategic-commitment
description: "Activate when: someone says 'they don't believe we'll follow through', 'how do I make my threat credible?', 'how do we deter a competitor from entering?', 'we need to lock in this customer/partner', 'should we burn our bridges?', or when a stated threat or promise is being discounted by the other side.
Do NOT activate when: the problem is capability (you cannot execute the threat, not just credibility that you will), or when the environment is changing so fast that any lock-in creates more rigidity than credibility gain. More: deciqai.com/c/strategic-commitment"
---

# Strategic Commitment

## Overview

Strategic commitment converts "I might do X" into "I will do X" — not through rhetoric but by *changing payoff structure* so follow-through is the rational move. Schelling (1960, Nobel 2005): keeping options open undermines you when opponents predict you'll rationally back down. A commitment device removes that prediction by making retreat more expensive than execution.

Composes with: `prisoners-dilemma` (diagnose defection traps) · `zero-sum-game` (confirm game structure) · `batna-zopa` (BATNA sets outside option; commitment governs how credibly you communicate it).

## When to Use

Apply when:
- Designing a competitive deterrence posture — making a potential entrant believe you will fight, not accommodate
- Making a promise or pledge credible to a counterparty who doubts your follow-through
- In negotiation where the other side exploits your visible flexibility
- Signaling strategic intent to multiple audiences with a single costly action
- Evaluating whether a competitor's stated threat is real or theatrical
- Deciding whether to make a concentrated AI-era bet credible (capex, an all-in product pivot, a "we're AI-first" claim) — or auditing whether a rival's AI commitment is money-in-the-ground or a press release

**When NOT to use:** commitment is unobservable to the target audience; environment changes so fast that lock-in outweighs credibility gain; cost of following through exceeds the value being protected; genuine one-shot anonymous game with no reputational audience.

## Coaching Novices (Adaptive Front Door)

- **Engine mode:** user has a concrete case → run The Process directly.
- **Coach mode:** user is unfamiliar → guide step by step.

In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.

1. What-it-is: commitment makes threats credible by locking yourself in so follow-through is the rational choice.
2. Check fit: does the other side disbelieve your threat? If problem is *capability* (can't execute), not credibility, stop here.
3. Elicit their case: specific threat, audience, why they doubt follow-through.
> **[WAIT — do not advance until user responds]**
4. Run CAVE audit. Ask: "What happens if you don't follow through? What is the current cost of retreat?"
> **[WAIT — do not advance until user responds]**
5. Name which de

_meta.json

{
  "ownerId": "kn754b8sk22s8c6gjxt02bftbn88q7ye",
  "slug": "strategic-commitment",
  "version": "1.0.5",
  "publishedAt": 1784931362937
}

references/sources.md

# Sources — strategic-commitment

> *Primary sources for the [strategic-commitment](../SKILL.md) skill.*

- Schelling, T.C. (1960). *The Strategy of Conflict.* Harvard University Press. The canonical source. Chapter 2 ("An Essay on Bargaining") and Chapter 3 contain the core commitment theory; the Cuba Missile Crisis analysis is in Chapter 8. https://www.hup.harvard.edu/books/9780674840317
- Dixit, A. & Nalebuff, B. (1991). *Thinking Strategically.* W.W. Norton. The standard business-facing treatment; Chapter 6 covers commitment and credibility with extensive case studies. "Credibility is the key to making threats work." ISBN 978-0393310351.
- Selten, R. (1975). "Reexamination of the Perfectness Concept for Equilibrium Points in Extensive Games." *International Journal of Game Theory*, 4(1), pp. 25–55. The formal game-theoretic basis: subgame perfect equilibrium eliminates non-credible threats from equilibrium strategies — commitment devices work by changing which equilibria are subgame perfect. https://doi.org/10.1007/BF01766400
- Kreps, D.M. & Wilson, R. (1982). "Reputation and Imperfect Information." *Journal of Economic Theory*, 27(2), pp. 253–279. The mathematical basis for reputation-based commitment in repeated games; shows how even a small probability of being a "tough" type can sustain commitment across many interactions. https://doi.org/10.1016/0022-0531(82)90030-8
- Nobel Prize Committee (2005). "Scientific Background: Thomas C. Schelling and Robert J. Aumann." The Royal Swedish Academy of Sciences. Documents the theoretical contributions recognized by the Nobel Prize, including the commitment and credibility framework. https://www.nobelprize.org/prizes/economic-sciences/2005/advanced-information/

**What is not cited and why:** The phrases "burn your bridges" and "cutting off retreat" appear in many popular strategy texts but are attributed to historical figures (Cortes, Xiang Yu) without primary-source documentation sufficient to verify the specific strategic intent described. This skill uses the mathematically grounded commitment theory from Schelling and the game-theoretic formalization from Selten as its analytical foundation, not historical parables.
- U.S. Department of Commerce (2024). CHIPS Incentives Award announcement for TSMC Arizona (April 2024): up to $6.6B in direct funding tied to milestone enforcement, alongside TSMC's expansion to three Arizona fabs (~$65B announced investment). https://www.commerce.gov/news/press-releases/2024/04/biden-harris-administration-announces-preliminary-terms-tsmc-expanded — a live CAVE-complete commitment: sunk cost + visibility + third-party enforcement.
- Microsoft (2023). "Microsoft and OpenAI extend partnership." Official Microsoft Blog, January 23, 2023. https://blogs.microsoft.com/blog/2023/01/23/microsoftandopenaiextendpartnership/ — the multi-year, multi-billion-dollar structure as an observable commitment device in the AI platform race.

examples/amazon-everyday-low-price-commitment-1994-present.md

# Method in Action: Amazon's Everyday Low Price Commitment (1994–present)

> *Example for the [strategic-commitment](../SKILL.md) skill.*

When Jeff Bezos launched Amazon in 1994, the company made a strategic commitment that seemed impossible to enforce: that Amazon would always offer the lowest available price. The competitive logic was clear — if customers believe Amazon is always cheapest, they do not comparison-shop, which dramatically lowers Amazon's customer acquisition cost. But the commitment requires customers and suppliers to believe it, and belief requires credibility.

Run the Commitment Design on Amazon's price commitment:

**Step 1 (threat stated precisely):** "On any product in our catalog, Amazon's price is at or below any competitor's listed price. If a competitor lists a lower price, Amazon will match it — automatically and in real time."

**Step 2 (Credibility Audit):**
- *Capability:* Amazon had the cash and logistics to absorb price matching costs. ✓
- *Action taken:* Amazon deployed automated pricing algorithms (its proprietary pricing engine) that scan competitors' prices continuously and adjust Amazon's prices — estimated at approximately 2.5 million price changes per day as of 2013 (Profitero price tracking data). The algorithm is the irreversible action: it executes automatically without human decision at each instance. ✓
- *Visibility:* Price comparisons are publicly visible; customers and sellers can verify Amazon's prices in real time. ✓
- *Enforcement:* Amazon's A9 search algorithm penalizes third-party sellers who list at higher prices, creating a market-level enforcement mechanism. ✓

**Step 3 (current cost of retreat):** Before the algorithm, a human decision to not match a competitor's lower price was cheap — it required no action. After the algorithm, matching is automatic; *not* matching requires a deliberate override, which would be visible to sellers and customers and would immediately damage Amazon's core brand claim.

**Step 4 (commitment device):** Primarily organizational lock-in (automated algorithm) combined with reputation. The algorithm is the commitment device — it converts a policy statement into an automatic consequence, removing the temptation to defect case-by-case.

**Step 5 (post-commitment game tree):** Competitors who lower price know Amazon will automatically respond. The expected gain from undercutting Amazon is zero or negative (Amazon matches, competitor margins fall, neither gains share). This suppresses price competition among rivals without Amazon needing to fight each case.

**Step 6 (rigidity risk):** The commitment created rigidity during inflationary periods (2022–2023) and when suppliers demanded higher wholesale prices. Amazon managed this through its third-party marketplace model — many "Amazon" prices are set by third-party sellers, not Amazon directly — maintaining the appearance of lowest-price commitment while shifting some rigidity risk to sellers.

Primary sources: Dixit,

examples/tsmc-arizona-and-ai-capex-commitments-2020-2026.md

# Method in Action: TSMC Arizona and the AI-Capex Commitment Race (2020–2026)

> *Example for the [strategic-commitment](../SKILL.md) skill.*

The 2020–2026 AI buildout produced the largest peacetime capital commitments in corporate history — and the clearest modern demonstrations of why commitment beats flexibility in games where counterparties act on what they believe you will do. Two linked cases: TSMC's Arizona fabs (a commitment made credible to governments and customers), and the hyperscalers' multi-year AI capex escalation (commitments aimed at rivals, suppliers, and the capital markets simultaneously). Run both through the Credibility Audit.

### Case 1 — TSMC Arizona: making "we will build outside Taiwan" credible

**Step 1 — State the commitment precisely.** Action: build and operate leading-edge fabs in Arizona. Trigger: US customers' and the US government's demand for supply-chain resilience. Audience: Washington (subsidy and export-policy decisions), US customers (Apple, Nvidia, AMD — "can we count on non-Taiwan supply?"), and rivals (Intel, Samsung) deciding their own capacity bets.

**Step 2 — CAVE audit.** *Capability:* present — TSMC is the only firm that has repeatedly executed leading-edge fabs at scale. *Action taken:* irreversible — announced in 2020 and escalated in stages to a reported ~$65B across three Arizona fabs by 2024, with the first fab reaching volume production of 4nm-class chips in late 2024/early 2025; poured concrete and installed EUV tools cannot be un-spent. *Visibility:* maximal — presidential visits, CHIPS Act grant announcements, quarterly disclosure. *Enforcement:* CHIPS funding milestones and customer prepayment/agreement structures add third-party penalty for retreat. All four present — this is why the commitment moved policy and customer behavior where a press release would not have.

**Step 3–4 — Cost of retreat and device.** Each escalation raised the cost of walking away (sunk cost + reputation with two governments + customer reliance). The device is classic **sunk-cost + third-party constraint**: the money in the ground is the message.

**Step 5 — Post-commitment game tree.** Follow-through became non-dominated retreat: abandoning Arizona after CHIPS milestones and customer commitments would cost more (politically and commercially) than completing fabs whose standalone economics are worse than Taiwan's. That inversion is precisely what makes the audience believe.

**Step 6 — Rigidity risk.** Real and priced in: higher US costs, staffing friction, the risk that demand shifts. TSMC kept conditionality narrow (phasing, tool-timing flexibility) without undermining the core signal.

### Case 2 — Hyperscaler AI capex: commitment as deterrence in the model race

The 2024–2026 AI capex escalation — combined annual capital expenditure by the largest US hyperscalers reported in the hundreds of billions of dollars by 2025, with multi-year model-training and compute purchase agreements (e.g., Microsoft's multi

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