market-research

Conduct market research, competitive analysis, and investor due diligence with source attribution.

1|Updated Mar 10, 2026
One-click install
npx skills add https://github.com/aleonsa/claude-config --skill market-research-aleonsa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: market-research
Source: https://github.com/aleonsa/claude-config/tree/main/claude/skills/market-research
Command: npx skills add https://github.com/aleonsa/claude-config --skill market-research-aleonsa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides in-depth market research, competitive analysis, and investor due diligence, transforming raw data into actionable insights that drive strategic business decisions.

Core Features & Use Cases

  • Market Sizing: Generate TAM/SAM/SOM estimates with clear assumptions.
  • Competitive Analysis: Compare products, identify strengths, weaknesses, and market positioning.
  • Investor Diligence: Research funds, portfolio companies, and investment theses.
  • Technology Scans: Understand emerging trends and vendor landscapes.
  • Use Case: When considering entering a new market, use this Skill to understand the market size, key competitors, and potential risks before committing resources.

Quick Start

Use the market-research skill to analyze the competitive landscape for AI-powered customer support platforms.

Frequently Asked Questions about market-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I conduct competitive analysis for entering a new market?

To estimate market sizing, generate TAM, SAM, and SOM estimates with clear assumptions. This approach provides decision-oriented summaries that clarify market potential and guide resource allocation for entering new markets.

Can I use market research for investor due diligence on portfolio companies?

Yes, you can use market research for investor due diligence to research funds, portfolio companies, and investment theses. This yields decision-oriented intelligence with rigorous sourcing and data recency checks for informed investment decisions.

What is the best way to separate fact from inference in industry intelligence reports?

The best way to separate fact from inference in industry intelligence is to require rigorous sourcing and data recency checks. This ensures a clear separation of factual data, logical inference, and strategic recommendations in market summaries.

Does market research support technology scans for emerging vendor landscapes?

Yes, market research supports technology scans to understand emerging trends and vendor landscapes. This provides industry intelligence with source attribution, helping you identify technology shifts and assess competitive positioning within your sector.

What are the limitations of using automated industry intelligence for business strategy?

A key limitation is the reliance on data recency and rigorous sourcing, meaning outdated information can impact business strategy. Use these summaries as decision support rather than absolute truth, given the required separation of inference and fact.