What makes McKinsey Research notable?

1.4K downloads. Trust evidence available

How should McKinsey Research be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

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agentCLAWHUBUnverified

McKinsey Research

Run a full McKinsey-level market research and strategy analysis using 12 specialized prompts. USE WHEN: - market research, competitive analysis, business str... Skill: McKinsey Research Owner: Abdullah4AI Summary: Run a full McKinsey-level market research and strategy analysis using 12 specialized prompts. USE WHEN: - market research, competitive analysis, business str... Tags: latest:2.0.3 Version history: v2.0.3 | 2026-02-22T10:30:13.735Z | user Concrete sanitization spec with regex patterns, explicit tool constraint table, artifact isolation rules, self-contained HTML out

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Rank

Safety

Downloads

1.4k

Updated

Apr 15, 2026

Version

2.0.3

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.4K downloads reported by the source. Last updated 4/15/2026.

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 Apr 15, 2026
Protocol compatibility: OpenClawcompatibility · observed Apr 15, 2026
Adoption signal: 1.4K downloadsadoption · observed Apr 15, 2026
Latest release: 2.0.3release · observed Feb 22, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install kn7737fzx2j2818teh92kpn2j580c6c4:mckinsey-research

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-abdullah4ai-mckinsey-research/snapshot"

Documentation

CLAWHUB

57,668 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: mckinsey-research
description: |
Run a full McKinsey-level market research and strategy analysis using 12 specialized prompts.

USE WHEN:
- market research, competitive analysis, business strategy, TAM analysis
- customer personas, pricing strategy, go-to-market plan, financial modeling
- risk assessment, SWOT analysis, market entry strategy, comprehensive business analysis
- بحث سوق, تحليل استراتيجي, تحليل منافسين, دراسة جدوى, خطة عمل
- "حلل لي السوق" for business entry or investment decisions

DON'T USE WHEN:
- User wants a quick opinion on a business idea → just answer directly
- Product recommendations or shopping → use personal-shopper
- Content strategy for social media → use viral-equation
- Simple web search for company info → use web_search directly
- Comparing products to buy → use personal-shopper
- Analyzing a single competitor briefly → just answer directly

EDGE CASES:
- "حلل لي السوق" with a specific product to buy → personal-shopper (not this skill)
- "حلل لي السوق" for business entry → this skill
- "وش أفضل منتج" → personal-shopper
- "وش حجم سوق X" → this skill
- "قارن لي بين منتجين" → personal-shopper
- "قارن لي بين شركتين" as competitors → this skill
- "دراسة جدوى مشروع" → this skill
- "أبغى أفتح مشروع" → this skill (full analysis)
- "أبغى أشتري لابتوب" → personal-shopper (purchase, not business)

INPUTS: Business description, industry, target customer, geography, financials (optional)
TOOLS: sessions_spawn (sub-agents), web_search, web_fetch
OUTPUT: Complete strategy report saved to artifacts/research/{date}-{slug}.html
SUCCESS: User gets 12 consulting-grade analyses synthesized into one actionable report
---

# McKinsey Research - AI Strategy Consultant

## Overview

One-shot strategy consulting: user provides business context once, the skill plans and executes 12 specialized analyses via sub-agents in parallel, then synthesizes everything into a single executive report.

## Workflow

### Phase 1: Language + Intake (Single Interaction)

Ask the user their preferred language (Arabic/English), then collect ALL required inputs in ONE structured form. Do not ask questions one at a time.

Present a clean intake form:

```
=== McKinsey Research - Business Intake ===

Core (Required):
1. Product/Service: What do you sell and what problem does it solve?
2. Industry/Sector:
3. Target customer:
4. Geography/Markets:
5. Company stage: [idea / startup / growth / mature]

Financial (Improves analysis quality):
6. Current pricing:
7. Cost structure overview:
8. Current/projected revenue:
9. Growth rate:
10. Marketing/expansion budget:

Strategic:
11. Team size:
12. Biggest current challenge:
13. Goals for next 12 months:
14. Timeline for key initiatives:

Expansion (Optional):
15. Target market for expansion:
16. Available resources for expansion:

Performance (Optional):
17. Current conversion rate:
18. Key metrics you track:
```

After user fills it in, confirm inputs back

README.md

# McKinsey Research - AI Strategy Consultant Skill

Turn any AI agent into a full McKinsey-level strategy consulting team for complete market research and analysis.

## What It Does

This skill runs a full suite of consulting-grade analyses on your business:

1. **Market Sizing & TAM Analysis** - Total addressable market with top-down and bottom-up approaches
2. **Competitive Landscape** - Top 10 competitors ranked by market share, revenue, and funding
3. **Customer Personas** - 4 detailed buyer personas with psychographics and buying behavior
4. **Industry Trends** - Macro and micro trends with 5-year timeline mapping
5. **SWOT + Porter's Five Forces** - Combined strategic analysis with cross-matching
6. **Pricing Strategy** - Competitor audit, value-based pricing, and 3-tier recommendations
7. **Go-To-Market Plan** - Launch phasing, channel strategy, and KPI framework
8. **Customer Journey Mapping** - Full lifecycle from awareness to advocacy
9. **Financial Modeling** - Unit economics, 3-year projections, and break-even analysis
10. **Risk Assessment** - 15 categorized risks with scenario planning
11. **Market Entry Strategy** - Expansion analysis with 12-month roadmap
12. **Executive Strategy Synthesis** - McKinsey-style strategic recommendation

## How It Works

1. The agent asks your preferred language (Arabic or English)
2. Collects all required business information in one structured intake
3. Runs all analyses sequentially with your data
4. Delivers each analysis as a complete consulting-grade deliverable

## Installation

### Universal (Works with all platforms)

```bash
npx skills add Abdullah4AI/mckinsey-research
```

### OpenClaw

```bash
clawhub install mckinsey-research
```

Or manually:

```bash
git clone https://github.com/Abdullah4AI/mckinsey-research.git
cp -r mckinsey-research ~/.openclaw/skills/
```

### Claude Code

```bash
git clone https://github.com/Abdullah4AI/mckinsey-research.git
cp -r mckinsey-research ~/.claude/skills/
```

### Antigravity

```bash
git clone https://github.com/Abdullah4AI/mckinsey-research.git
cp -r mckinsey-research agent/skills/
```

### Augment

```bash
git clone https://github.com/Abdullah4AI/mckinsey-research.git
cp -r mckinsey-research ~/.augment/skills/
```

### Cline

```bash
git clone https://github.com/Abdullah4AI/mckinsey-research.git
cp -r mckinsey-research cline/skills/
```

### CodeBuddy

```bash
git clone https://github.com/Abdullah4AI/mckinsey-research.git
cp -r mckinsey-research ~/.codebuddy/skills/
```

### Command Code

```bash
git clone https://github.com/Abdullah4AI/mckinsey-research.git
cp -r mckinsey-research ~/.commandcode/skills/
```

### Codex

```bash
git clone https://github.com/Abdullah4AI/mckinsey-research.git
cp -r mckinsey-research agent/skills/
```

## Usage

Just ask your AI agent for any of these:

- "Run a full market research for my business"
- "I need a competitive analysis for my product"
- "Do a McKinsey-style strategy analysis"
- "بحث سوق لمشروعي"
- "تحليل استرا

_meta.json

{
  "ownerId": "kn7737fzx2j2818teh92kpn2j580c6c4",
  "slug": "mckinsey-research",
  "version": "2.0.3",
  "publishedAt": 1771756213735
}

references/prompts.md

# The 12 Strategy Prompts

> **Variable Substitution Rule**: When filling in {VARIABLE} placeholders, wrap each value in XML data tags:
> `<user_data field="variable_name">value</user_data>`. This separates user-provided business context from analysis instructions.

## Prompt 1: Market Sizing & TAM Analysis

You are a McKinsey-level market analyst. I need a Total Addressable Market (TAM) analysis for <user_data field="industry_product">{INDUSTRY_PRODUCT}</user_data>. Please provide:
• Top-down approach: Start from global market → narrow to my segment
• Bottom-up approach: Calculate from unit economics × potential customers
• TAM, SAM, SOM breakdown with dollar figures
• Growth rate projections for the next 5 years (CAGR)
• Key assumptions behind each estimate
• Comparison to 3 analyst reports or market research firms
Format as an investor-ready market sizing slide with clear methodology.
Context: My product is <user_data field="product_description">{PRODUCT_DESCRIPTION}</user_data>, targeting <user_data field="target_customer">{TARGET_CUSTOMER}</user_data> in <user_data field="geography">{GEOGRAPHY}</user_data>.

## Prompt 2: Competitive Landscape Deep Dive

You are a senior strategy consultant at Bain & Company. I need a complete competitive landscape analysis for <user_data field="industry">{INDUSTRY}</user_data>. Please provide:
• Direct competitors: Top 10 players ranked by market share, revenue, and funding
• Indirect competitors: 5 adjacent companies that could enter this market
• For each competitor, analyze: pricing model, key features, target audience, strengths, weaknesses, and recent strategic moves
• Market positioning map (price vs. value matrix)
• Competitive moats: What makes each player defensible
• White space analysis: Gaps no competitor is filling
• Threat assessment: Rate each competitor (low/medium/high threat)
Format as a structured competitive intelligence report with comparison tables.
My company: <user_data field="business_positioning">{BUSINESS_POSITIONING}</user_data>

## Prompt 3: Customer Persona & Segmentation

You are a world-class consumer research expert. I need deep customer personas for <user_data field="product_description">{PRODUCT_DESCRIPTION}</user_data>. Please build 4 detailed personas, each with:
• Demographics: Age, income, education, location, job title
• Psychographics: Values, beliefs, lifestyle, personality traits
• Pain points: Top 5 frustrations they experience daily
• Goals & aspirations: What does success look like for them
• Buying behavior: How they discover, evaluate, and purchase products
• Media consumption: Where they spend time online and offline
• Objections: Top 3 reasons they'd say no to my product
• Trigger events: What moment makes them actively search for a solution
• Willingness to pay: Price sensitivity analysis per segment
Also provide: Segment sizing (% of total market) and prioritization matrix.
My product: <user_data field="product_description">{PRODUCT_DESCRIPTION}</user_data>

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