How does this skill handle data accuracy?

The skill enforces strict source attribution for every important claim, flags stale data, and explicitly separates facts from inferences and recommendations.

What kind of market sizing models does it support?

It utilizes a hybrid approach, combining top-down estimates from public reports with bottom-up sanity checks based on customer acquisition assumptions.

Does it provide objective or biased research?

The skill is specifically designed to include contrarian evidence and downside cases to ensure a balanced view that supports real business decisions.

Can this skill help with startup fundraising?

Yes, it can generate detailed investor dossiers including fund size, stage preferences, portfolio companies, and potential red flags or fit issues.

Market Research Intelligence

Name: Market Research Intelligence
Author: affaan-m

byaffaan-m

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112,919

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Productivity & Workflow

Conducts data-driven market analysis, competitive benchmarking, and investor due diligence with verified source attribution and actionable insights.

The Market Research skill transforms Claude into a sophisticated analyst capable of delivering high-quality industry intelligence and decision-oriented summaries. Designed to eliminate 'research theater,' it focuses on generating objective reports that include market sizing (TAM/SAM/SOM), competitive landscape mapping, and deep-dive investor dossiers. By enforcing strict standards for source attribution, flagging stale data, and presenting contrarian evidence, this skill ensures that every research output serves as a reliable foundation for business strategy, product development, or fundraising efforts.

Key Features

01Detailed investor dossiers including fund history, stage fit, and check sizes

02Decision-oriented output structure with risks, caveats, and recommendations

03Strict source attribution and data age flagging for all claims

04Rigorous market sizing using top-down and bottom-up estimation methods

05Comprehensive competitive analysis covering product reality and positioning gaps

06112,919 GitHub stars

Use Cases

01Conducting competitive benchmarking before launching a new product feature

02Building an investor outreach list with deep due diligence for a funding round

03Validating market entry assumptions with TAM/SAM/SOM data models

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add affaan-m/everything-claude-code market-research

For use in Claude.ai and ChatGPT

Key Features

01Detailed investor dossiers including fund history, stage fit, and check sizes

02Decision-oriented output structure with risks, caveats, and recommendations

03Strict source attribution and data age flagging for all claims

04Rigorous market sizing using top-down and bottom-up estimation methods

05Comprehensive competitive analysis covering product reality and positioning gaps

06112,919 GitHub stars

Use Cases

01Conducting competitive benchmarking before launching a new product feature

02Building an investor outreach list with deep due diligence for a funding round

03Validating market entry assumptions with TAM/SAM/SOM data models