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-code

Installs 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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