market-research
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.
About this skill
This skill empowers AI agents to perform in-depth market research, competitive analysis, investor due diligence, and broader industry intelligence. It focuses on delivering actionable, decision-oriented summaries rather than mere 'research theater'. The skill is designed to provide robust insights for business decisions, covering areas like market sizing (TAM/SAM/SOM), detailed competitor comparisons, fund research, and technology trend analysis. A core principle of this skill is rigorous source attribution for every significant claim, ensuring credibility and reliability in the generated reports.
Best use case
This skill is designed for users who need structured, evidence-based research to inform strategic business decisions. It's ideal for entrepreneurs, business analysts, investors, or product managers looking to understand market dynamics, assess competitive landscapes, or evaluate investment opportunities with reliable data.
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.
Users can expect a well-structured, comprehensive research report that includes decision-oriented summaries, clear source attribution for all key claims, and actionable insights. Outputs may include market size estimations, detailed competitive landscape analyses, investor profiles, technology trend reports, or a pressure-tested thesis with supporting evidence.
Practical example
Example input
Conduct a comprehensive market research report on the 'AI-powered personalized learning platforms' sector. Include market sizing, key competitors with their core offerings and market share, growth drivers, potential challenges, and a list of active venture capital firms investing in this space. Ensure all claims are sourced.
Example output
A detailed market report covering: 1. **Market Sizing:** TAM, SAM, SOM estimates for AI-powered personalized learning platforms. 2. **Competitive Landscape:** Profiles of 3-5 key competitors (e.g., Duolingo, Khan Academy, Coursera) including their product features, business models, recent funding, and estimated market penetration. 3. **Growth Drivers:** Analysis of factors propelling market growth (e.g., remote learning adoption, demand for adaptive education). 4. **Challenges:** Identification of hurdles (e.g., data privacy, pedagogical effectiveness, content development costs). 5. **Investor Overview:** A list of active VCs and recent investment rounds in the sector. 6. **Decision-Oriented Summary:** Key takeaways and strategic recommendations for entering or operating within this market. All sections will be meticulously sourced with links or citations to reputable reports, news articles, academic papers, and financial data.
When to use this skill
- When researching a market, category, company, investor, or technology trend.
- When building Total Addressable Market (TAM), Serviceable Available Market (SAM), or Serviceable Obtainable Market (SOM) estimates.
- When comparing competitors or adjacent products to identify strengths, weaknesses, and opportunities.
- When preparing investor dossiers or profiles before outreach to potential funders.
When not to use this skill
- When seeking immediate, real-time data without in-depth analysis or source verification.
- When the primary goal is creative content generation (e.g., marketing copy, stories) rather than analytical research.
- When requesting personal opinions or speculative forecasts without supporting data.
- When performing transactions or requiring actions that directly modify external systems (e.g., booking flights, purchasing stocks).
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/market-research/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How market-research Compares
| Feature / Agent | market-research | Standard Approach |
|---|---|---|
| Platform Support | Claude | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | easy | N/A |
Frequently Asked Questions
What does this skill do?
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.
Which AI agents support this skill?
This skill is designed for Claude.
How difficult is it to install?
The installation complexity is rated as easy. You can find the installation instructions above.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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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