ux-researcher-designer

579 stars 112 forks
0
D

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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#claude-ai#including data-driven#design#claudecode-subagents#claude-ai-skills#journey mapping#Senior#testing frameworks

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Installation for Agentic Skill

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skilz install alirezarezvani/claude-skills/ux-researcher-designer
skilz install alirezarezvani/claude-skills/ux-researcher-designer --agent opencode
skilz install alirezarezvani/claude-skills/ux-researcher-designer --agent codex
skilz install alirezarezvani/claude-skills/ux-researcher-designer --agent gemini

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/alirezarezvani/claude-skills
2. Copy the agent skill directory:
cp -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

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

Spec Compliance
12/15
PDA Architecture
13/30
Ease of Use
18/25
Writing Style
7/10
Utility
14/20

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 mapping
  • references/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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AI-Detected Topics

Extracted using NLP analysis

claude-ai including data-driven design claudecode-subagents claude-ai-skills journey mapping Senior testing frameworks Researcher including claude-skills

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