abdullah4ai/mckinsey-research
/SKILL.md
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
$ install --global
skillsauthnpx skillsauth add abdullah4ai/mckinsey-research mckinsey-researchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Mar 30, 2026, 5:22 AM38.9s22 files scanned
SKILL.md
- name:
- mckinsey-research
- description:
- |
- 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
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. Substitute variables per references/variable-map.md. Load individual prompts from 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 for common pitfalls. Use references/saudi-market.md for KSA/Gulf data sources. Use references/benchmarks.md for industry metric comparisons.
Phase 3: Collect + Synthesize
- Read all analysis outputs from
artifacts/research/{slug}/ - Run Prompt 12 (Executive Synthesis) with all previous outputs
- Generate final HTML report using templates/report.html
- 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 | Input safety, sanitization, tool constraints, artifact isolation | | references/variable-map.md | Variable substitution rules and mapping table | | references/prompts/ | 12 individual analysis prompts (01-tam.md through 12-synthesis.md) | | references/prompts.md | Original combined prompts (backup) | | references/gotchas.md | Known pitfalls and operational tips | | references/saudi-market.md | KSA/Gulf data sources and market context | | references/benchmarks.md | Industry benchmarks (SaaS, e-commerce, fintech, marketplace, mobile) | | templates/report.html | HTML report template |
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