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McKinsey Research

用户一次提供业务背景后,技能用子代理并行执行 12 项市场与战略分析(TAM、竞争、画像、趋势、定价、GTM、财务、风险等),再综合为一份 HTML 战略报告与执行摘要。

abdullah4ai
abdullah4ai
热度 74.02
最近更新 2026-05-11 16:23:40
分类:数据依赖:联网浏览搜索 / 读写文件 / 内部调用大模型应用场景:市场分析 / 报告撰写 / 研究

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add mckinsey-research
Metadata
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