market-research
Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries.
Skill by marshall0524
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/marshall0524-market-research
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: research
Reviews
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What's inside
- Skill name
market-research- Description
- Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.
- License
- MIT
- Instructions
- 71 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Market Research Produce research that supports decisions, not research theater. ## When to Activate - researching a market, category, company, investor, or technology trend - building TAM/SAM/SOM estimates - comparing competitors or adjacent products - preparing investor dossiers before outreach - pressure-testing a thesis before building, funding, or entering a market ## Research Standards 1. Every important claim needs a source. 2. Prefer recent data and call out stale data. 3. Include contrarian evidence and downside cases. 4. Translate findings into a decision, not just a summary. 5. Separate fact, inference, and recommendation clearly. ## Common Research Modes ### Investor / Fund Diligence Collect: - fund size, stage, and typical check size - relevant portfolio companies - public thesis and recent activity - reasons the fund is or is not a fit - any obvious red flags or mismatches ### Competitive Analysis Collect: - product reality, not marketing copy - funding and investor history if public - traction metrics if public - distribution and pricing clues - strengths, weaknesses, and positioning gaps ### Market Sizing Use: - top-down estimates from reports or public datasets - bottom-up sanity checks from realistic customer acquisition assumptions - explicit assumptions for every leap in logic ### Technology / Vendor Research Collect: - how it works - trade-offs and adoption signals - integration complexity - lock-in, security, compliance, and operational risk ## Output Format Default structure: 1. executive summary 2. key findings 3. implications 4. risks and caveats 5. recommendation 6. sources ## Quality Gate Before delivering: - all numbers are sourced or labeled as estimates - old data is flagged - the recommendation follows from the evidence - risks and counterarguments are included - the output makes a decision easier
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Signals
- Stars
- 41
- Forks
- 7
- Open issues
- 0
- Last commit (this folder)
- Feb 27, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
market-research skill. Agent Mart. https://agentmart.dev/skills/marshall0524-market-research (last updated 2026-10-24)