Collin128

Collin128 / market-research-skill

Public

Claude Code skill that compresses weeks of market research into a structured strategy document using Exa AI

17
1
100% credibility
Found Mar 15, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This project is a skill for the Claude Code AI tool that automates gathering and analyzing market research data to produce structured strategy documents on industries and competitors.

How It Works

1
🔍 Discover the Research Helper

You find a clever add-on for your AI chat app that does deep market research in minutes instead of weeks.

2
📥 Add It to Your AI Chat

Download the helper and drop it into your AI app's skills folder to make it part of your toolkit.

3
🔗 Connect Research Smarts

Sign up for an online research service and link it so your AI can pull in real customer stories and trends.

4
💬 Ask for Market Insights

Type a simple phrase in your AI chat like 'research property software with these competitors' and press send.

5
⏳ Watch It Work

Relax for a couple minutes while it scans reviews, news, and competitor details automatically.

📄 Get Your Strategy Report

Receive a clear, expert-like document full of competitor breakdowns, market gaps, and smart advice to guide your decisions.

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AI-Generated Review

What is market-research-skill?

This Python-based Claude Code skill automates market research by turning a simple slash command like `/market-research property management software appfolio.com,buildium.com` into a full strategy document. It pulls competitive intel, customer sentiment, trends, and moat analysis using Exa AI's semantic search, then synthesizes it via Claude's reasoning into sections like positioning maps, Seven Powers breakdowns, and investor risk tests. Developers get a markdown report in 2-5 minutes that mimics expert consulting, skipping weeks of manual digging.

Why is it gaining traction?

Unlike basic Claude code CLI tools or generic searches, it delivers structured, actionable outputs with Pydantic-validated data on customer voice from Reddit and reviews, plus frameworks like Hamilton Helmer's moats—perfect for quick validation. The claude code skills integration means zero setup beyond cloning the repo, pip installs, and an Exa API key, with clear claude code tutorial-style docs in the README. Early adopters love how competitor domains sharpen results, making it a go-to for claude github integration in workflows.

Who should use this?

Startup founders pitching vertical SaaS like dentist tools or logistics fleets, product managers mapping gaps in property management software, and VCs running destruction tests on targets. It's ideal for solo devs or small teams needing market research job skills without hiring analysts—query an industry, list domains, and iterate on gaps for your MVP.

Verdict

Grab it if you're evaluating markets via Claude Code; the claude code download and install are straightforward, and output quality punches above 17 stars. At 1.0% credibility, it's raw and untested at scale—docs are solid but expect tweaks for production claude code pricing with Exa costs around $1.50-5.50 per run.

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