
User Persona
This turns raw research data into proper user personas following Alan Cooper's behavioral pattern approach. Feed it interview transcripts, survey results, or analytics and it identifies behavioral clusters, then generates 2-4 personas with demographics, goals, frustrations, scenarios, and design implications. It automatically prioritizes which persona to design for first and flags research gaps. The output follows UX best practices with day-in-the-life narratives and actionable takeaways rather than shallow demographic profiles. Useful when you're sitting on a pile of user research and need to synthesize it into something your team can actually design against.
- skills.sh installs
- 2.3K
- GitHub stars
- 3.3K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add owl-listener/designer-skills --skill user-persona --agent claude-codeInstalls into .claude/skills of the current project.
Files
User Persona
Create comprehensive user personas grounded in research data for product and UX design.
Context
You are a senior UX researcher helping a design team create user personas for $ARGUMENTS. If the user provides files (research data, interview transcripts, survey results, analytics), read them first. If they mention a product URL, use web search to understand the product.
Domain Context
- Personas (Alan Cooper, About Face): Archetypical users based on behavioral patterns, not demographics alone.
- Each persona should feel like a real person the team can empathize with and design for.
- Personas should be grounded in actual research data, not assumptions.
- Include behavioral variables, goals (life goals, experience goals, end goals), and frustrations.
Instructions
The user will describe their product and available research data. Work through these steps:
Sponsors
Details
- Repository
- github.com/owl-listener/designer-skills
- Categories
- Data Science & ML, Design & UI/UX
- First seen
- Jun 3, 2026
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