bergside/awesome-design-skills

List of 67 awesome DESIGN.md and SKILL.md design skill files for agentic tools like Claude Design, Google Stitch, Codex, Cursor, and other AI tools

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bergside/awesome-design-skills has 3k+ stars and 300+ forks on GitHub and was last pushed on Jun 28, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 1 hour ago
Type:Curated List / Learning ResourceCategory(s):MCP Servers, Agent Skills & PromptsAI Coding AgentsAI Agents & LLM Apps
Added to GitGenius on October 1st, 2026
Created on March 9th, 2026
Open Issues & Pull Requests: 15 (+0)
GitHub issues: Enabled
Number of forks: 329
Total Stargazers: 3,243 (+0)
Total Subscribers: 20 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 22.8 hours
Mean response time: 22.8 hours
90th percentile: 22.8 hours
Tracked items: 1

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Open issues: 5
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 49 days
Stale 30+ days: 5
Stale 90+ days: 1

Recent activity

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Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Awesome Design Skills is a curated registry of design system skill files for AI-powered agentic tools.

The project addresses the challenge of equipping AI agents with consistent, structured knowledge about design systems and component behavior. It provides a collection of skill files organized as folders containing both SKILL.md files with machine-readable instructions for AI agents and DESIGN.md files with human-readable design rationale. Each skill file includes information about token usage, component rules, accessibility constraints, and quality gates that guide AI tools in generating or modifying design-related code and decisions. The approach allows developers to pull these pre-built skills into their projects with a single command rather than writing agent instructions from scratch.

This resource suits teams building applications with AI agents like Claude Code, Cursor, or Codex who want to maintain design consistency across AI-assisted workflows. It works well for projects that need their design systems documented in a format that both humans and AI agents can understand and act upon. The registry provides a starting point for organizations that would otherwise need to manually create and maintain these skill definitions themselves.

The project maintains an actively curated collection with entries organized by design system and tool compatibility, allowing developers to browse and select skills relevant to their specific AI agent platform and design needs.