by cookiy-ai · Codex Skill · ★ 909
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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 Install Claude Cowork / Code Desktop , input , click , cli
| Stars | 909 |
| Forks | 56 |
| Language | Shell |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 76.5943266668091/100 |
| Open Issues | 4 |
| Last Updated | 2026-07-02 |
| Created | 2026-04-10 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~11k |
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user-research-skill is Cookiy AI Skill for AI agents (Claude, Codex, Cursor, OpenClaw) — end-to-end user research: AI interviews, synthetic users, quant surveys, participant recruitment.. It is categorized as a Codex Skill with 909 GitHub stars.
user-research-skill is primarily written in Shell. It covers topics such as ai-agent, ai-skill, claude-code.
You can find installation instructions and usage details in the user-research-skill GitHub repository at github.com/cookiy-ai/user-research-skill. The project has 909 stars and 56 forks, indicating an active community.
user-research-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to user-research-skill on Agent Skills Hub include skillshare, Overture, claude-workflow-v2. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.