market-research

Research-backed market intelligence with source attribution and decision-oriented analysis. Covers investor diligence, competitive analysis, market sizing, and technology vendor research with structured output including findings, implications, risks, and recommendations Enforces sourcing standards: every claim requires attribution, stale data is flagged, and contrarian evidence is included alongside supporting data Separates fact, inference, and recommendation clearly to support decision-making rather than produce unfocused summaries Applies quality gates before delivery: all numbers are sourced or labeled as estimates, risks and counterarguments are documented, and recommendations follow directly from evidence

INSTALLATION
npx skills add https://github.com/affaan-m/everything-claude-code --skill market-research
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

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

  • Every important claim needs a source.
  • Prefer recent data and call out stale data.
  • Include contrarian evidence and downside cases.
  • Translate findings into a decision, not just a summary.
  • 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:

  • executive summary
  • key findings
  • implications
  • risks and caveats
  • recommendation
  • 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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