Agent-Skills.md

Agent Skills: Market Research

Market research, competitive analysis, and industry intelligence with source attribution. Use during maestro:design for research tasks, TAM/SAM/SOM estimates, or competitor analysis.

UncategorizedID: ReinaMacCredy/my-workflow/maestro:market-research

Repository

ReinaMacCredy/my-workflow
ReinaMacCredyLicense: MIT
233

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pnpm dlx add-skill https://github.com/ReinaMacCredy/maestro/tree/HEAD/skillpacks/ecc/skills/maestro%3Amarket-research

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skillpacks/ecc/skills/maestro:market-research/SKILL.md

Skill Metadata

Name
maestro:market-research
Description
"Market research, competitive analysis, and industry intelligence with source attribution. Use during maestro:design for research tasks, TAM/SAM/SOM estimates, or competitor analysis."

Market Research

Produce research that supports decisions, not research theater.

Maestro Integration

Lifecycle: design Activates when: maestro:new-track detects relevant tech in tech-stack.md, or maestro:implement encounters matching task types.

Phase Guidance

In maestro:design: Conduct market research during discovery phase. Produce decision-oriented summaries with source attribution for design specifications.

Related Skills

  • maestro:investor-materials
  • maestro:investor-outreach
  • maestro:article-writing

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

Relationship to Maestro Workflow

  • /maestro:new-track -- Detects this skill during Step 9.5 (skill matching)
  • /maestro:implement -- Loads this skill's guidance during task execution
  • /maestro:review -- Uses checklists as review criteria