McKinsey Research

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

Abdullah AlRashoudi

@abdullah4ai

What This Skill Does

Runs a full McKinsey-level market research and strategy analysis using 12 specialized prompts executed by parallel sub-agents. Collects business context once, then produces a synthesized executive report covering TAM, competitive analysis, customer personas, trends, SWOT, pricing, GTM, financial modeling, risk, and market entry.

Replaces hiring a strategy consulting firm for initial market research by automating the entire multi-analysis workflow into one actionable report.

When to Use It

  • Analyze total addressable market (TAM) for a new product or service
  • Conduct a competitive landscape analysis for a specific industry and geography
  • Develop customer personas and a go-to-market plan for a business idea
  • Build a financial model and risk assessment for a startup or expansion
  • Evaluate market entry strategy for entering a new country or segment
  • Perform a full SWOT and Porter's Five Forces analysis for a strategic review

Install

$ openclaw skills install @abdullah4ai/mckinsey-research

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

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