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.
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 Desktop (Chat / Cowork)
- Download the Skill ZIP file
- In the app: Customize > Skills > + > Create Skill > Upload a skill
Claude Code / Codex / Cursor / OpenClaw / Other Agents
npx skills add cookiy-ai/user-research-skill -g -y
Or follow your agent's skill installation instructions to install manually.
Examples
"I want to understand why users churn after onboarding"— Designs a research plan, screener, and interview guide targeting early-stage drop-off.
"Here are 20 interview transcripts, give me a report"— Runs a five-phase synthesis pipeline and produces a structured report with themes and personas.
"Run a study on how developers choose CI/CD tools"— Via Cookiy AI: creates the study, runs AI-moderated interviews, and delivers the report.
"Survey 200 users about feature satisfaction"— Via Cookiy AI: designs a survey, recruits respondents, and collects results.
License
MIT — Cookiy AI
