ux-researcher-designer
UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona creation, journey mapping, and design validation.
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Installation for Agentic Skill
View all platforms →skilz install alirezarezvani/claude-skills/ux-researcher-designerskilz install alirezarezvani/claude-skills/ux-researcher-designer --agent opencodeskilz install alirezarezvani/claude-skills/ux-researcher-designer --agent codexskilz install alirezarezvani/claude-skills/ux-researcher-designer --agent geminiFirst time? Install Skilz: pip install skilz
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/alirezarezvani/claude-skillscp -r claude-skills/product-team/ux-researcher-designer ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- alirezarezvani (GitHub)
- Repository
- claude-skills
- Stars
- 579
- Forks
- 112
- Type
- Other
- Meta-Domain
- Primary Domain
- Market Score
- 0
Agent Skill Grade
D Score: 64/100 Click to see breakdown
Score Breakdown
Areas to Improve
- Missing workflow steps
- No reference docs
- Missing usage examples
Recommendations
- Focus on improving Pda (currently 13/30)
- Address 3 high-severity issues first
- Add trigger phrases to description for discoverability
Graded: 2026-01-24
Developer Feedback
I notice you're tackling UX research and design as a skill—that's a territory where most tool-builders stay surface-level, so I'm curious how you're structuring the progression from research fundamentals to actual design decisions.
Links:
The TL;DR
You're at 64/100, solidly in D territory. This is based on Anthropic's 5-pillar framework. Your strongest area is Spec Compliance (12/15)—the frontmatter is clean and triggers are well-chosen. The real drag is Progressive Disclosure Architecture (13/30), where you're missing the layered reference structure that makes skills actually teachable.
What's Working Well
- Good trigger coverage: "user research", "persona creation", "journey mapping" will catch the right moments when Claude needs this skill
- Real working code: Your persona generator script actually produces output with confidence scoring, not just theoretical
- Correct YAML structure: No metadata issues, just straightforward and valid
The Big One: Missing Reference Architecture
Here's what's holding you back—SKILL.md is 300 words of overview, but the actual smarts are buried in a 150+ line Python script. Users have no guide for when to use what, or how the pieces fit together.
The fix: Create a references/ directory with layered docs:
references/persona-methodology.md- detailed methodology (what makes a persona valid?)references/journey-mapping-guide.md- step-by-step journey mappingreferences/example-personas.md- 2-3 real output examples showing what "good" looks like
Then in SKILL.md, add a Research Workflow section with numbered steps that tie back to these docs. This alone buys you +6 points by fixing the PDA score.
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