cookiy-ai

cookiy-ai / user-research-skill

Public

User Research Omni Skill for AI Agents — Claude, Codex, OpenClaw, Cursor

cookiy.ai ai-agent ai-skill claude-code cli codex
14
1
100% credibility
Found Apr 18, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

A skill for AI agents that automates planning, conducting qualitative interviews or quantitative surveys, and synthesizing user research reports, with optional integration to a service for real participants.

How It Works

1
🔍 Discover the skill

You learn about a helpful add-on that lets your AI assistant handle user research like planning studies and talking to people.

2
📱 Add to your AI helper

In your AI chat app, you search the marketplace and add the user research skill with a few clicks.

3
🌐 Allow online connections

You give your AI permission to reach out online so it can gather real opinions from participants.

4
💬 Describe your goal

You chat with your AI about what you want to learn, like why users quit after trying your app.

5
🎯 AI runs the research

Your AI creates a plan, conducts interviews or surveys with real or test people, and organizes the results into insights.

📊 Get your report

You receive a clear summary with key findings, user profiles, and advice to improve your product.

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Star Growth

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AI-Generated Review

What is user-research-skill?

This Shell script powers a skill for AI agents like Claude, Cursor, Codex, and OpenClaw, enabling claude skills user research from planning to synthesis. It automates user experience research skills—generating plans, interview guides, surveys, and reports—while integrating with Cookiy AI for running qualitative interviews or quantitative studies with real or synthetic participants. Developers get end-to-end user research synthesis skill without tool-switching, via semantic chat invocation or CLI commands like study create and quant report.

Why is it gaining traction?

It stands out by embedding full user research methoden directly in AI chats, auto-loading on queries like "why users churn," unlike fragmented tools needing manual data import. The Cookiy tie-in delivers actual respondent data and multi-language surveys, hooking devs who want user research skills matrix without hiring for user research jobs. Simple installs via agent marketplaces or npx skills add make it dead-easy for iterative experiments.

Who should use this?

Product leads and UX researchers using Claude or Cursor for quick user github stats, github user stories, or github user search insights. Indie devs validating features via synthetic interviews, or teams scouting user research praktikum talent with survey recruitment. Suited for user research jobs berlin remote setups needing fast synthesis over user research books.

Verdict

Early alpha with 14 stars and 1.0% credibility score—docs are solid, MIT-licensed, but lacks tests and broad adoption. Try for AI-driven research spikes if you're already in the Claude ecosystem; skip for production until more battle-tested.

(178 words)

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