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ui-design-system

0.0
D

UI design system toolkit for Senior UI Designer including design token generation, component documentation, responsive design calculations, and developer handoff tools. Use for creating design systems, maintaining visual consistency, and facilitating design-dev collaboration.

Commands Agents Marketplace
#claude-ai#Designer including#design calculations#design#claudecode-subagents#claude-ai-skills#Senior#system

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Installation for Agentic Skill

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skilz install alirezarezvani/claude-skills/ui-design-system
skilz install alirezarezvani/claude-skills/ui-design-system --agent opencode
skilz install alirezarezvani/claude-skills/ui-design-system --agent codex
skilz install alirezarezvani/claude-skills/ui-design-system --agent gemini

First time? Install Skilz: pip install skilz

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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/ui-design-system ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Repository
claude-skills
Type
Other
Meta-Domain
N/A
Primary Domain
N/A
Market Score
0.0

Agent Skill Grade

D
Score: 65/100 Click to see breakdown

Score Breakdown

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

Areas to Improve

  • No references/ directory for detailed documentation; everything crammed into 33-line SKILL.md
  • 530-line Python file has no table of contents or navigation structure
  • Description lacks specific activation phrases; user won't know when Claude auto-invokes this

Recommendations

  • Address 2 high-severity issues first
  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 1/23/2026

Developer Feedback

I've been exploring design systems lately and noticed your skill takes a pretty opinionated stance on component organization—curious what drove those specific choices versus the more traditional atomic design approach.

Links:

The TL;DR

You're at 65/100, landing in D territory. This is graded against Anthropic's best practices for skill architecture. Your spec compliance is solid (12/15), but you're losing points where it matters most: the Progressive Disclosure Architecture (18/30) and how discoverable this actually is for users (15/25).

What's Working Well

  • Spec compliance is clean - Your frontmatter is valid YAML, naming follows conventions, and the core structure is sound
  • Consistent terminology - Design tokens, components, breakpoints—you stick with your terms throughout, which helps readability
  • Real utility address - You're solving an actual problem: design token generation and system consistency, not solving for a problem that doesn't exist

The Big One: Missing Layered Documentation Structure

Here's what's holding you back: everything is compressed into a 33-line SKILL.md, but you've got a 530-line Python script that desperately needs navigation. This is a Progressive Disclosure problem.

Why it matters: When Claude encounters this skill, users have no clear entry points. Is this for brand color generation? Component libraries? Both? The current structure makes Claude guess.

The fix: Create a references/ directory with focused guides:

  • references/token-generation.md - Color palette algorithms, WCAG contrast checking
  • references/component-architecture.md - System design patterns you're enforcing
  • references/responsive-calculations.md - How breakpoint math works
  • references/developer-handoff.md - Export formats and integration steps

Add a Table of Contents to your 530-line script at the top. This alone bumps you +5 points.

Other Things Worth Fixing

  1. No TOC in the Python script (Medium priority, +2 pts) - A 530-line file needs navigation. Add a docstring TOC listing main classes and key methods so users can scan it.

  2. Vague trigger terms (High priority, +3 pts) - Your description says "use for creating design systems" but doesn't list specific activators. Users won't know when Claude auto-invokes this. Add explicit triggers: 'generate design tokens', 'create color palette', 'build typography scale', 'calculate responsive breakpoints'.

  3. No workflow steps (Medium, +3 pts) - List the actual user journey: 1. Specify brand color and style → 2. Generate base tokens → 3. Review accessibility → 4. Export format → 5. Integrate. Right now you just list capabilities.

  4. Marketing language in SKILL.md (Low, +1 pt) - "Professional toolkit for creating scalable design systems" is promo-speak. Replace with: "Generate design tokens and component documentation for consistent UI implementation."

Quick Wins

  • Strip the marketing language and tighten descriptions (+1-2 pts)
  • Add specific trigger phrases so Claude knows when to activate this (+3 pts)
  • Create references/ directory with focused guides (+5 pts)
  • Add workflow steps to SKILL.md (+3 pts)
  • Total possible improvement: ~12 points → 77/100 (C territory)

The architecture is there—it just needs better navigation and clearer entry points. Focus on the reference docs first, that's your biggest bang for your buck.


Checkout your skill here: SkillzWave.ai | SpillWave We have an agentic skill installer that installs skills in 14+ coding agent platforms. Check out this guide on how to improve your agentic skills.

AI-Detected Topics

Extracted using NLP analysis

claude-ai Designer including design calculations design claudecode-subagents claude-ai-skills Senior system including design claude-skills claude-code design system developer handoff anthropic-claude design token claude-code-skills agentic-ai responsive design agentic-coding

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