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affaan-m/market-research

affaan-m

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.

global
origin:ECC
New~543
v1.2Saved Jul 14, 2026

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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Overall Score

78/100

Grade

B

Good

Safety

85

Quality

72

Clarity

82

Completeness

68

Summary

This skill guides agents to conduct structured market research and competitive analysis with emphasis on source attribution, decision-oriented findings, and evidence-based recommendations. It defines research standards (sourced claims, recent data, contrarian evidence) and provides templates for common research modes (investor diligence, competitive analysis, market sizing, technology research) along with a quality gate to ensure rigor.

Detected Capabilities

web research and information gatheringsource attribution and citationdocument generation (research reports)comparative analysisdata synthesis and interpretation

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

market sizingcompetitive analysisinvestor researchdue diligencetechnology landscapemarket trend analysisfund evaluationtam estimationcompetitive comparisonsector research

Use Cases

  • Estimating total addressable market (TAM) and market segments
  • Analyzing competitor products, funding, and positioning
  • Evaluating investor fund profiles and fit before outreach
  • Researching emerging technologies and vendor trade-offs
  • Pressure-testing business hypotheses before major decisions
  • Building investor dossiers for due diligence processes

Quality Notes

  • Excellent research standards: requires source attribution for claims, flags stale data, explicitly calls for contrarian evidence
  • Clear scope and decision focus: transforms research into actionable recommendations rather than summaries
  • Well-structured output format with standard sections (executive summary, findings, implications, risks, sources)
  • Quality gate is concrete and actionable: agents know exactly what rigor is expected before delivery
  • Practical template modes (investor diligence, competitive analysis, market sizing, technology research) reduce guesswork
  • No examples of real research output provided—skill would benefit from showing a sample market research report structure
  • No explicit guidance on source quality hierarchy (primary sources vs. secondary, academic vs. trade publications)
  • No mention of how to handle conflicting sources or outdated data from highly-cited reports
  • Activation triggers are clear ('researching a market', 'building TAM estimates') but skill does not define data access boundaries (what the agent can/should consult)
Model: claude-haiku-4-5-20251001Analyzed: Jul 14, 2026

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Version History

v1.2

Content updated

2026-07-14

Latest
v1.1

Content updated

2026-04-20

v1.0

Seeded from github.com/affaan-m/everything-claude-code

2026-03-16

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affaan-m/market-research | SkillRepo