
Market Research
Run decision-oriented market, competitor, and investor research with sourced claims and explicit recommendations instead of generic summaries.
Overview
market-research is a journey-wide agent skill that runs sourced, decision-oriented market, competitor, and investor diligence usable whenever a solo builder must validate a thesis before committing.
Install
npx skills add https://github.com/affaan-m/everything-claude-code --skill market-researchWhat is this skill?
- Five research standards: source every claim, prefer recent data, include contrarian evidence, drive to a decision, separ
- Modes for investor/fund diligence, competitive analysis, and TAM/SAM/SOM market sizing
- Investor mode collects fund size, stage, check size, portfolio fit, thesis, and red flags
- Competitive mode stresses product reality, traction, distribution, pricing, and positioning gaps
- Origin ECC skill aimed at business decisions, not research theater
- 5 research standards in the workflow
- 3 common research modes: investor diligence, competitive analysis, market sizing
Adoption & trust: 5.4k installs on skills.sh; 210k GitHub stars; 2/3 security scanners passed (skills.sh audits).
What problem does it solve?
You need market or investor answers but keep getting unsourced summaries that do not change what you build, pitch, or fund.
Who is it for?
Founders sizing markets, comparing competitors, or prepping investor conversations with ECC-style rigor.
Skip if: Academic literature reviews with no business decision, or tasks that only need live scraped pricing without interpretation.
When should I use this skill?
User wants market sizing, competitor comparisons, fund or investor research, technology scans, or research that informs business decisions.
What do I get? / Deliverables
You receive attributed research with contrarian cases and a clear recommendation on whether to pursue, pivot, or pass.
- Sourced market or competitor memo with decision recommendation
- Investor or fund fit dossier when in diligence mode
- TAM/SAM/SOM estimate with stated assumptions
Recommended Skills
Journey fit
Useful at every journey phase - explore requirements and options before committing to a direction.
Where it fits
Map category players and public traction signals before you pick a wedge.
Compare two adjacent products’ pricing and distribution to narrow MVP scope.
Refresh competitor positioning gaps before prioritizing the next sprint theme.
Build an investor-targeting memo with fund fit and red-flag checks ahead of outreach.
How it compares
Decision-first research playbook, not a single-purpose SEO keyword scraper or financial terminal integration.
Common Questions / FAQ
Who is market-research for?
Solo and indie builders who want Claude, Cursor, or Codex to produce cited market and competitor memos that end in a go/no-go style call.
When should I use market-research?
Use it in Idea when exploring a category; in Validate when comparing alternatives or sizing opportunity; in Build/PM when re-checking positioning; and before Launch fundraising when drafting investor fit dossiers.
Is market-research safe to install?
The skill encourages web research discipline but does not replace your judgment on data freshness; review the Security Audits panel on this page and verify sources yourself before financial commitments.
SKILL.md
READMESKILL.md - Market Research
# 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