| 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
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
