mckinsey-research

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

3,880 stars

Best use case

mckinsey-research is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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

Teams using mckinsey-research should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/mckinsey-research/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/abdullah4ai/mckinsey-research/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/mckinsey-research/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How mckinsey-research Compares

Feature / Agentmckinsey-researchStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# McKinsey Research - AI Strategy Consultant

User provides business context once. The skill plans and executes up to 12 specialized analyses via sub-agents in parallel, then synthesizes into a single executive report. Adapt scope based on company stage (see Adaptive Stage Logic below).

## Phase 1: Language + Intake

Ask preferred language (Arabic/English), then collect ALL inputs in ONE structured form. See the intake form fields: Core (1-5), Financial (6-10), Strategic (11-14), Expansion (15-16), Performance (17-18). If product description is under 50 words, ask for clarification before proceeding.

**Diamond Gate 1**: Present scope summary (market, geography, competitors). Get user confirmation before Phase 2.

## Phase 2: Plan + Parallel Execution

Sanitize inputs per [references/security.md](references/security.md). Substitute variables per [references/variable-map.md](references/variable-map.md). Load individual prompts from [references/prompts/](references/prompts/).

| Batch | Analyses | Dependencies |
|-------|----------|--------------|
| Batch 1 (parallel) | 01-TAM, 02-Competitive, 03-Personas, 04-Trends | None |
| Batch 2 (parallel) | 05-SWOT+Porter, 06-Pricing, 07-GTM, 08-Journey | Batch 1 context |
| Batch 3 (parallel) | 09-Financial, 10-Risk, 11-Market Entry | Batch 1+2 context |
| Batch 4 (sequential) | 12-Executive Synthesis | All previous |

Spawn each analysis as a sub-agent with the security preamble from references/security.md. Stagger Batch 1 launches by 5 seconds to avoid web search rate limits. Validate each output is 500+ words.

See [references/gotchas.md](references/gotchas.md) for common pitfalls. Use [references/saudi-market.md](references/saudi-market.md) for KSA/Gulf data sources. Use [references/benchmarks.md](references/benchmarks.md) for industry metric comparisons.

## Phase 3: Collect + Synthesize

1. Read all analysis outputs from `artifacts/research/{slug}/`
2. Run Prompt 12 (Executive Synthesis) with all previous outputs
3. Generate final HTML report using [templates/report.html](templates/report.html)
4. Save to `artifacts/research/{date}-{slug}.html`

## Phase 4: Delivery

Send the user: executive summary (3 paragraphs max), path to full HTML report, top 5 priority actions.

## Adaptive Stage Logic

| Stage | Priority Analyses | Skip/Light |
|-------|------------------|------------|
| Idea | TAM, Personas, Competitive, Trends | Financial Model (light), Market Entry (skip) |
| Startup | TAM, Competitive, Pricing, GTM, Personas | Market Entry (skip unless asked) |
| Growth | Pricing, GTM, Journey, Financial, Expansion | TAM (light), Personas (light) |
| Mature | SWOT, Risk, Expansion, Financial, Synthesis | TAM (skip), Personas (skip) |

"Light" = include in synthesis but don't spawn a dedicated sub-agent. Use web_search inline.
"Skip" = omit unless user explicitly requests.

## Artifacts

- Individual analyses: `artifacts/research/{slug}/{analysis-name}.md`
- Final report: `artifacts/research/{date}-{slug}.html`
- Raw data: `artifacts/research/{slug}/data/`
- Execution log: `data/reports.jsonl`
- Feedback tracking: `data/feedback.json`

## Important Notes

- Each prompt produces a consulting-grade deliverable
- Use web_search to enrich with real market data; only cite verifiable sources
- If user provides partial info, work with what you have and note assumptions
- For Arabic output: keep brand names and technical terms in English
- Prompt 12 must cross-reference insights from all previous analyses; deduplicate aggressively
- Sub-agents that fail should be retried once before skipping with a note

## Reference Files

| File | Contents |
|------|----------|
| [references/security.md](references/security.md) | Input safety, sanitization, tool constraints, artifact isolation |
| [references/variable-map.md](references/variable-map.md) | Variable substitution rules and mapping table |
| [references/prompts/](references/prompts/) | 12 individual analysis prompts (01-tam.md through 12-synthesis.md) |
| [references/prompts.md](references/prompts.md) | Original combined prompts (backup) |
| [references/gotchas.md](references/gotchas.md) | Known pitfalls and operational tips |
| [references/saudi-market.md](references/saudi-market.md) | KSA/Gulf data sources and market context |
| [references/benchmarks.md](references/benchmarks.md) | Industry benchmarks (SaaS, e-commerce, fintech, marketplace, mobile) |
| [templates/report.html](templates/report.html) | HTML report template |

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