mckinsey-research

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

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
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	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