One-click install
npx skills add https://github.com/himanshu231204/AI_Research_agent --skill market-research-himanshu231204
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: market-research
Source: https://github.com/himanshu231204/AI_Research_agent/tree/main/.opencode/skills/market-research
Command: npx skills add https://github.com/himanshu231204/AI_Research_agent --skill market-research-himanshu231204

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the time-consuming, unstructured work of gathering scattered market, competitive, and investor intelligence, transforming raw public data into clear, decision-ready insights that remove guesswork from business strategy, funding, and market entry decisions.

Core Features & Use Cases

  • Multi-Mode Research Support: Covers investor/fund due diligence, competitive product analysis, market TAM/SAM/SOM sizing, and technology/vendor scanning for varied business needs.
  • Sourced, High-Integrity Output: Enforces strict sourcing requirements, flags stale data, includes contrarian evidence and downside cases, and clearly separates facts, inferences, and recommendations.
  • Use Case: If you are evaluating whether to enter the AI customer support market, use this Skill to produce a full competitive analysis of top players, a market size estimate, and a risk assessment to inform your go/no-go decision.

Quick Start

Use the market-research skill to compile a due diligence report on the venture capital firm Sequoia Capital, including their fund size, typical check size, relevant portfolio companies, and fit assessment for your pre-seed AI startup.

Frequently Asked Questions about market-research

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

FAQPage Schema
How do I structure market research for investor due diligence?

Structure investor due diligence by compiling fund size, typical check size, relevant portfolio companies, and fit assessment into a sourced report. This separates facts, inferences, and actionable recommendations to reduce decision-making friction.

What is the best way to estimate market size for a go/no-go decision?

Estimate market size by calculating TAM, SAM, and SOM using sourced public data. This transforms scattered intelligence into structured estimates with clear facts, contrarian evidence, and downside cases to support market entry decisions.

How do I run a competitive analysis without unstructured, unsourced data?

Run competitive analysis by enforcing strict sourcing requirements and flagging stale data. This eliminates unstructured research, delivering a full competitive analysis of top players with clear separation of facts and inferences.

Can I use this for technology trend scanning and vendor analysis?

Yes, you can use this for technology and vendor scanning. It transforms raw public data into decision-ready insights, ensuring your technology trend scanning includes sourced output and risk assessments for business strategy.

Does this market research approach include risk assessment for market entry?

Yes, this approach includes risk assessment for market entry. It flags stale data, incorporates contrarian evidence and downside cases, and separates facts from inferences to reduce guesswork in funding and strategy decisions.