Can this skill help with startup fundraising?

Yes, it includes an Investor Diligence mode that identifies fund sizes, stage preferences, and portfolio fit to help founders prepare dossiers before investor outreach.

What is the difference between fact and inference in the output?

The output format explicitly separates facts, inferences, and recommendations to help users distinguish between raw data and the resulting strategic interpretation.

Does it support market sizing for new products?

Yes, it provides structures for both top-down estimates from public datasets and bottom-up sanity checks based on realistic customer acquisition assumptions.

How does this skill handle data accuracy?

The skill follows strict research standards, requiring source attribution for every major claim and flagging outdated data to ensure decisions are based on the most current information available.

Market Research & Intelligence

Name: Market Research & Intelligence
Author: unju-ai

byunju-ai

0•

Data Science & ML

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

This skill transforms Claude into a strategic research analyst, enabling users to perform deep-dive competitive analysis, estimate market sizes (TAM/SAM/SOM), and conduct thorough investor due diligence. It focuses on delivering actionable intelligence rather than generic summaries, ensuring every claim is sourced and findings are translated into clear business recommendations. Whether you are pressure-testing a startup thesis or evaluating a new technology stack, this skill provides the structure and rigor needed to make informed strategic decisions based on recent data and contrarian evidence.

Key Features

01Decision-oriented reporting featuring executive summaries and actionable recommendations

02Technology and vendor research with detailed risk and trade-off assessments

03TAM/SAM/SOM market sizing using top-down and bottom-up methodologies

04Comprehensive investor dossiers including fund history and portfolio alignment

050 GitHub stars

06Strategic competitive analysis with positioning gap identification

Use Cases

01Preparing for investor pitches by researching fund stages and portfolio activity.

02Evaluating third-party technology vendors to assess operational risk and integration complexity.

03Validating a new product category through competitive benchmarking and market sizing.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add unju-ai/ecc market-research

For use in Claude.ai and ChatGPT