Market Research

by affaan-mef648e01899bMIT275K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 3 days ago

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.

AI-generated overview

Structures market, competitor, investor and technology research with sourced findings and a decision-oriented recommendation.

What it does
This skill guides an agent through producing decision-oriented market research rather than a plain summary. It defines research standards such as sourcing every important claim, flagging stale data, including contrarian evidence, and separating fact, inference and recommendation. It covers modes including investor and fund diligence, competitive analysis, market sizing with TAM/SAM/SOM estimates, and technology or vendor research, and it prescribes a default output structure of executive summary, key findings, implications, risks and caveats, recommendation and sources.
When to use it
Use it when the user wants market sizing, competitor comparisons, fund or investor research, technology scans, or other research intended to inform a business decision. It also fits pressure-testing a thesis before building, funding or entering a market.
Requirements
No scripts are shipped; it is an instructions-only skill. It needs the agent's research and web access to gather sources, and the agents/openai.yaml file is model-readable configuration.

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

Source and attribution

Source:affaan-m/eccin.agents/skills/market-researchat commitef648e0

License: MIT

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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