Claude Skill
cookiy-ai/user-research-skill
Cookiy AI User Research Skill enables AI agents to conduct end-to-end user research: AI interviews, synthetic users, quant surveys, and participant recruitment. Ideal for UX researchers and product...
Overview
Repository
Install this Skill
npx cookiy-aiRegistry
Summary
Cookiy AI User Research Skill is an end-to-end user research tool for AI agents like Claude, Codex, Cursor, and OpenClaw. It enables AI interviews, synthetic users, quantitative surveys, and participant recruitment, streamlining UX research workflows.
Cookiy AI 技能(适用于Claude、Codex、Cursor、OpenClaw等AI代理)——端到端用户研究:AI访谈、合成用户、量化调查、参与者招募。
Key features
- AI-powered user interviews
- Synthetic user generation for testing
- Quantitative survey creation and analysis
- Participant recruitment automation
- Seamless integration with Claude, Codex, Cursor, OpenClaw
Use cases
- UX researchers conducting remote user interviews
- Product teams testing prototypes with synthetic users
- Market researchers running quantitative surveys
- Startups recruiting participants for usability studies
- AI agents automating end-to-end user research
README excerpt
 # User Research Skill for AI Agents **The human layer in the AI stack** — give any AI agent direct access to real human opinions, experiences, and decision-making. [](LICENSE) --- ## What is this? An AI agent skill that enables any AI platform to **plan, run, and synthesize user research** — both qualitative (interviews) and quantitative (surveys) — without leaving the conversation. Use it for **general-purpose research** (design research plans, interview guides, synthesize reports), or connect to **Cookiy AI** to run **end-to-end studies** with real or synthetic participants. --- ## Capabilities | | Capability | Description | |---|---|---| | **Plan** | Research Planning | Generates research plans, screening questionnaires, and interview guides | | **Synthesize** | Report Synthesis | Turns raw interview transcripts into evidence-backed reports with codebooks, personas, and prioritized findings | | **Qual** | Qualitative Studies | AI-moderated interviews with real or synthetic participants, via Cookiy AI | | **Quant** | Quantitative Surveys | Multi-language surveys with conditional logic, respondent recruitment, and results — via Cookiy AI | --- ## Install ### Claude Cowork / Code Desktop 1. `Customize` > `Personal Plugins` > `+` > `Create Plugin` > `Add marketplace`, input `cookiy-ai/user-research-skill`, click `Sync` 2. `Plugins` > `Personal` > `user-research-skill`, click `+` on `User research` 3. (**Claude Cowork only**) Enable network access: `Profile` (bottom left) > `Settings` > `Capabilities` > `Code execution and file creation` > turn on `Allow network egress`, then set `Domain allowlist` to `All domains` — or add `s-api.cookiy.ai` under `Additional allowed