market-research

Generates compact market research reports with sourcing and pricing analysis.

96|9|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/c0x12c/ai-toolkit --skill market-research-c0x12c
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: market-research
Source: https://github.com/c0x12c/ai-toolkit/tree/main/.codex/skills/market-research
Command: npx skills add https://github.com/c0x12c/ai-toolkit --skill market-research-c0x12c

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Market research helps decision-makers quickly gather and structure data about markets, competitors, and funding landscapes to reduce risk and accelerate strategy.

Core Features & Use Cases

  • Market sizing: Estimate TAM/SAM/SOM with transparent assumptions and sources.
  • Competitive benchmarking: Compare features, pricing, traction, and go-to-market approaches.
  • Investor due diligence: Assess funding history, investors, and strategic fit.
  • Use Case: A startup evaluating a new market can generate a compact findings report with recommended next steps.

Quick Start

Run a quick market-size check for your target industry and generate a concise findings report.

Frequently Asked Questions about market-research

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

FAQPage Schema
How do I estimate TAM, SAM, and SOM for a new market entry?

Estimate TAM, SAM, and SOM by aggregating sizing data from public sources using transparent mathematical assumptions. This approach provides sourced evidence to support your market sizing conclusions and reduces risk for product or investment decisions.

What is the best way to structure competitive analysis for an investment due diligence scenario?

Structure competitive analysis for due diligence by collecting benchmarks on features, pricing, traction, and funding history from public sources. This structured data synthesis assesses strategic fit and supports transparent investor research conclusions.

Can I use market sizing to support go-to-market planning for a startup product?

Yes, market sizing supports go-to-market planning by generating compact findings reports with recommended next steps. Aggregating sizing and competitive benchmarks helps startups evaluate opportunities and structure GTM strategies with sourced evidence.

Do I need structured data collection to perform competitive benchmarking?

Yes, competitive benchmarking requires structured data collection from public sources to compare features, pricing, and traction accurately. Transparent math and sourced evidence are necessary to validate the competitive analysis conclusions.

What are the limitations of using public sources for investor research and due diligence?

Investor research using public sources is limited by data availability and requires transparent math to bridge gaps. Conclusions rely on structured data synthesis and sourced evidence, meaning private funding details may remain inaccessible.