ai-design-components: Comprehensive UI/UX and Backend component design skills for AI-assisted development with Claude

by ancoleman · Claude Skill · ★ 522

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: Claude Code Skills

How to install ai-design-components

git clone https://github.com/ancoleman/ai-design-components.git
claude plugin install ui-foundation-skills@ai-design-components

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 71/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-designanthropicclaudeclaude-codeclaude-skillsdesign-systemfull-stackreactskillstypescript

Quick Facts

Stars522
Forks73
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score71/100
Open Issues4
Last Updated2025-12-11
Created2025-11-13
Platformsclaude-code, python
Est. Tokens~537k

About ai-design-components

Full-stack development skills for AI-assisted development with Claude What is this? A collection of 76 production-ready Claude Skills covering frontend, backend, DevOps, infrastructure, security, cloud, and AI/ML development. Skills provide Claude with domain expertise, decision frameworks, and production-ready code patterns.

Compatible Skills

These tools work well together with ai-design-components for enhanced workflows:

  • ios-simulator-skill — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • design-studio — semantic(0.45)+complementary+rare_topics+similar_pop+shared_platform (55%)
  • penpot-mcp — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)
  • marketplace — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools