Agent skill · Data & Analytics

market-research-reports

"Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework strategic analysis including Porter's Five Forces, PESTLE, SWOT, TAM/SAM/SOM, and BCG Matrix."

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill market-research-reports --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 29 KB
Bundled scripts: none
Allowed tools: ReadWriteEditBash
Path: skills/analysis/market-research-reports/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

Review
written from the skill's own SKILL.md · Aug 5, 2026

What it does

Generates comprehensive, professional-grade market research reports of 50+ pages, modeled after top consulting firms, with LaTeX formatting and PDF output. It emphasizes data-driven analysis and a multi-framework approach (Porter's Five Forces, PESTLE, SWOT, TAM/SAM/SOM, BCG Matrix) and includes extensive visual content generated at the start and throughout. Visuals are produced via specified tools and scripts, including scientific-schematics and generate-image, to create diagrams, charts, and hero infographics. The workflow integrates with a research-lookup source to gather market data and supports an output structure spanning front matter, core analysis chapters, strategic recommendations, implementation roadmap, and appendices. The process prescribes generating initial visuals to frame the report, then developing content around those visuals, with data sources fetched via the research-lookup system.

How it works

  • Produces a LaTeX-formatted report designed for professional typography and layout, compiled to PDF, using the market_research.sty style package for consistency.
  • Starts with 6 essential visuals at the beginning, then adds visuals as needed for each section.
  • Uses the following visual tools:
    • scientific-schematics: to generate diagrams such as TAM/SAM/SOM, Porter's Five Forces, market structures, and related visuals via commands like python skills/scientific-schematics/scripts/generate_schematic.py with explicit diagram prompts and an output path.
    • generate-image: to produce executive summaries and cover imagery via python skills/generate-image/scripts/generate_image.py with descriptive prompts and output paths.
  • Applies a multi-framework analysis across chapters: Market Overview, Market Size & Growth (TAM/SAM/SOM, regional and segment analysis), Industry Drivers & Trends (PESTLE, trend impact), Competitive Landscape (Porter's, positioning matrix, strategic group mapping), Customer Analysis & Segmentation, Technology & Innovation, Regulatory & Policy, Risk Analysis, followed by Strategic Opportunities & Recommendations, Implementation Roadmap, and Financial Projections.
  • Integrates with research-lookup to gather data on market size, growth, competitors, trends, and regulatory factors, and organizes data into sources/ notes for citation.
  • Outputs include Numbered visuals per section (e.g., TAM/SAM/SOM diagrams, growth trajectories, market shares, risk heatmaps) and corresponding data points (market size, CAGR, regional breakdowns, etc.).

When to use it

  • When you need a comprehensive market analysis for investment decisions, strategic planning, or due diligence.
  • When market sizing (TAM/SAM/SOM), regulatory impact, competitive landscape, and multi-framework assessment are required.
  • When delivering a structured, 50+ page report with professional formatting and visual storytelling to executives or clients.

What it can touch

  • Visual generation: scientific-schematics for diagrams and generate-image for infographics.
  • Data gathering: research-lookup is used to fetch market data, competitors, and regulatory information and is referenced in the workflow.
  • Output formatting: LaTeX with market_research.sty for professional styling, compiled to PDF.

Caveats

  • The skill specifies generating 6 initial visuals at the start and additional visuals as needed; exact visual counts per section are not fixed beyond the initial requirement.
  • Output relies on external data sources via research-lookup; data accuracy depends on the sources cited.
  • Output is designed around LaTeX/PDF formatting and may require LaTeX toolchain availability to compile.
From the SKILL.md

# Market Research Reports ## Overview Market research reports are comprehensive strategic documents that analyze industries, markets, and competitive landscapes to inform business decisions, investment strategies, and strategic planning. This skill generates **professional-grade reports of 50+ pages** with extensive visual content, modeled after deliverables from top consulting firms like McKinsey, BCG, Bain, Gartner, and Forrester. **Key Features:** - **Comprehensive length**: Reports are designed to be 50+ pages with no token constraints - **Visual-rich content**: 5-6 key diagrams generated at start (more added as needed during writing) - **Data-driven analysis**: Deep integration with research-lookup for market data - **Multi-framework approach**: Porter's Five Forces, PESTLE, SWOT, BCG Matrix, TAM/SAM/SOM - **Professional formatting**: Consulting-firm quality typography, colors, and layout - **Actionable recommendations**: Strategic focus with implementation roadmaps **Output Format:** LaTeX with professional styling, compiled to PDF. Uses the `market_research.sty` style package for consistent, professional formatting. ## When to Use This Skill This skill should be used when: -

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Visual Enhancement Requirements
  4. Visual Generation Tools
  5. Recommended Visuals by Section (Generate as Needed)
  6. Report Structure (50+ Pages)
  7. Front Matter (~5 pages)
  8. Core Analysis (~35 pages)
  9. Strategic Recommendations (~10 pages)
  10. Back Matter (~5 pages)
  11. Workflow
  12. Phase 1: Research & Data Gathering
  13. Phase 2: Analysis & Framework Application
  14. Phase 3: Visual Generation
Ships with 1 file
  • metadata.json
Commands it runs
python skills/scientific-schematics/scripts/generate_schematic.py \
python skills/generate-image/scripts/generate_image.py \
Market size and growth data
python skills/research-lookup/scripts/research_lookup.py \
Competitive landscape
Industry trends
Regulatory environment
Generate all standard market report visuals
python skills/market-research-reports/scripts/generate_market_visuals.py \
cd writing_outputs/[project_folder]/drafts/
More from claude-skill-registry
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About this skill
What does the market-research-reports skill do?

"Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework strategic analysis including Porter's Five Forces, PESTLE, SWOT, TAM/SAM/SOM, and BCG Matrix."

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill market-research-reports --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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