Cookiy AI User Research Skill
A skill that runs user research inside the agent: plan, interview guide, report synthesis, plus interviews and quantitative surveys through the Cookiy AI servic
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- MIT
Extended access
Why this level
- Sends research data to the external Cookiy AI service in the full cycle
- Reads transcripts and runs a helper script when calling the service
Install
- Works in
In your terminal, with SkillFoxx CLI
npx skillfoxx add skills/cookiy-ai-user-research-skillDetects the agents on your machine, shows the access level and pins the version.
Other ways to install
Access and checks
How we reviewExtended accessThe tool runs code or makes network calls and only reads external data.
- Sends research data to the external Cookiy AI service in the full cycle
- Reads transcripts and runs a helper script when calling the service
This is third-party code. Review the repository files before installing.
What it does
The skill helps the agent run user research end to end. It routes work by intent: draft a research plan, screener and interview guide, or turn transcripts into a report through a five-phase synthesis with a codebook, personas and prioritized findings. Planning and synthesis work on their own, on the agent's reasoning. The full cycle with real or synthetic participants, and multi-language quantitative surveys with conditional logic and respondent recruitment, run through the Cookiy AI service. The web app and this skill share one account, and studies and results sync between them.
Who it is for. For product managers, designers, researchers and founders who need to plan and analyze user research without leaving the agent.
Good fit when
- You need a research plan, screener and interview guide
- You have interview transcripts and need a structured report with themes and personas
- You need to run interviews or a quantitative survey through the Cookiy AI service
Not a fit when
- You need real respondents but have no Cookiy AI account and billing
- The task is not about user research
Example request
Draft a research plan and interview guide to understand why users churn after onboardingLimitations
Planning and report synthesis work on their own, but interviews and quantitative surveys with participants run through the Cookiy AI service, which needs an account, billing and access to its API. Desktop Claude variants require enabling network access to the service domain. Availability of the service from Russia without a VPN is not verified; if it is unreachable, only the skill's offline capabilities remain.
How to disable. Remove the user-research plugin via /plugin or delete the skill folder from the agent's skills directory.
FAQ
Does the skill work without the Cookiy service?
Yes. Building a plan, screener, interview guide and synthesizing a report from transcripts work on their own. The Cookiy service is needed to run interviews and quantitative surveys with participants.
What does report synthesis do?
It runs five phases: familiarization, coding, theme extraction, synthesis and report assembly with a codebook, personas and prioritized findings.
Discussion
No questions or reviews yet.
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README in short
The README describes an open-source user research skill that works in Claude Code, Codex, Cursor and other agents. It can plan studies, prepare screeners and interview guides and synthesize reports from transcripts, and through the Cookiy AI service run interviews with real or synthetic participants and quantitative surveys. The web app and skill share one account and sync studies and results. Installation is via the plugin marketplace, a zip download for desktop Claude or npx for other agents. MIT licensed.
README badge
Original SKILL.md
--- name: user-research-cookiy description: > End-to-end user research assistant — qualitative and quantitative. Use this skill whenever the user mentions user research, user interviews, discussion guides, interview guides, research plans, qualitative research, quantitative research, user surveys, survey design, usability studies, participant recruitment, research synthesis, interview transcripts, research reports, running studies with AI, or explicitly mentions Cookiy AI. --- # User Research, End to End Route to the right workflow based on user intent. ## Routing Infer the intent/stage from context.