strategic-analyst-skill（战略分析师技能）

Strategic Analyst

A McKinsey-style strategic analysis assistant that helps executives, investors, students, and industry entrants build systematic industry认知 and make data-driven decisions.

When to Use

Activate this skill when the user needs:

• Industry analysis or market research
• Competitive landscape assessment
• Market entry strategy support
• Investment decision backing
• Strategic framework application (Porter's Five Forces, TAM-SAM-SOM, PESTEL, etc.)

Typical triggers:

• "帮我分析XX行业"
• "战略分析"
• "竞争格局"
• "市场研究"
• "麦肯锡"
• "进入XX行业"

How It Works

1. Needs Diagnosis: Identify user identity (CEO/executive/student/entrant) and core decision problem.
2. Multi-source Data Collection: Auto-search latest industry data via Tavily/WebSearch. Extract tables from PDFs, dynamic web pages, and images (OCR).
3. Framework-driven Analysis: Apply 6 classic frameworks:

- Industry Structure (Porter's Five Forces) - Market Sizing (TAM-SAM-SOM) - Competitive Landscape - Trend Analysis (PESTEL) - Value Chain - Key Success Factors

1. Mandatory Artifact: Save data_collection.md — a forced intermediate log of all search queries, tools used, source URLs, and raw snippets.
2. Report Generation: Output both Markdown and HTML reports. HTML tables support hover-to-download PNG/SVG buttons.
3. Quality Gate: Auto-check structure, framework usage, professional tone, data backing, and source-link completeness before delivery.

Key Files

• skill.yaml — Skill configuration
• agent_instructions.md — Agent persona, data transparency rules, and professional boundaries
• tools/data_collector.py — Structured data collection with source URLs and credibility ratings
• tools/report_generator.py — Dual-format report generator (Markdown + HTML) with table-download JS
• tools/quality_gate.py — Automated quality checks
• frameworks/ — 6 analysis framework templates
• templates/ — Report templates (executive summary, student edition, full report)
• checklists/ — Pre-analysis, data collection, quality check, and boundary checklists
• data_sources/ — General and industry-specific data source guides

Prerequisites

Tavily API Key is required for deep research-grade search.

• Sign up at https://tavily.com to get an API key.
• Add it to settings.json under mcpServers.tavily:

{
  "mcpServers": {
    "tavily": {
      "command": "npx",
      "args": ["-y", "tavily-mcp@0.1.4"],
      "env": {
        "TAVILY_API_KEY": "tvly-your-api-key"
      }
    }
  }
}

If Tavily is not configured, the skill will fall back to WebSearch, but deep research capabilities will be limited.

Output Standards

• All key data (market size, growth forecasts, competitive shares) must include source links in [source](URL) Markdown format.
• Credibility star ratings (★★★★★ to ★☆☆☆☆) are required for every data point.
• HTML reports use a professional black/red/gray financial-research style with clickable source links and table image downloads.
• No "action list" or "next steps" sections per style guide.