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McKinsey Research

Run a full McKinsey-level market research and strategy analysis using 12 specialized prompts. USE WHEN: - market research, competitive analysis, business str...

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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/.

BatchAnalysesDependencies
Batch 1 (parallel)01-TAM, 02-Competitive, 03-Personas, 04-TrendsNone
Batch 2 (parallel)05-SWOT+Porter, 06-Pricing, 07-GTM, 08-JourneyBatch 1 context
Batch 3 (parallel)09-Financial, 10-Risk, 11-Market EntryBatch 1+2 context
Batch 4 (sequential)12-Executive SynthesisAll 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

StagePriority AnalysesSkip/Light
IdeaTAM, Personas, Competitive, TrendsFinancial Model (light), Market Entry (skip)
StartupTAM, Competitive, Pricing, GTM, PersonasMarket Entry (skip unless asked)
GrowthPricing, GTM, Journey, Financial, ExpansionTAM (light), Personas (light)
MatureSWOT, Risk, Expansion, Financial, SynthesisTAM (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

FileContents
references/security.mdInput safety, sanitization, tool constraints, artifact isolation
references/variable-map.mdVariable substitution rules and mapping table
references/prompts/12 individual analysis prompts (01-tam.md through 12-synthesis.md)
references/prompts.mdOriginal combined prompts (backup)
references/gotchas.mdKnown pitfalls and operational tips
references/saudi-market.mdKSA/Gulf data sources and market context
references/benchmarks.mdIndustry benchmarks (SaaS, e-commerce, fintech, marketplace, mobile)
templates/report.htmlHTML report template

如何使用「McKinsey Research」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「McKinsey Research技能完成任务
  4. 结果即时呈现,支持继续对话优化

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