ohprettyhak

ohprettyhak / design-farmer

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Agent skill that turns design system quality from "best effort" into a repeatable engineering workflow.

23
8
100% credibility
Found Apr 10, 2026 at 23 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

Design Farmer is a skill for AI coding assistants that examines a codebase to automatically cultivate a full design system with colors, components, themes, accessibility, tests, and documentation.

How It Works

1
🌱 Discover Design Farmer

While building your app with an AI helper, you find a friendly tool that turns scattered styles into a polished design system.

2
🔧 Quick Setup

Paste one easy command into your terminal to add the tool to your AI coding companion.

3
📂 Open Your Project

Go to the folder with your app's code, ready for a style makeover.

4
🤖 Tell AI to Farm Designs

Chat with your AI buddy and say 'use Design Farmer' – it starts scanning your code like a gardener spotting patterns.

5
🔍 Watch It Build Magic

Your AI pulls out colors and layouts, creates matching buttons and forms, adds dark mode, and makes everything consistent and easy to use.

6
📖 Get Guides and Tests

It writes clear notes on your new design rules and adds checks to keep things perfect.

🎉 Beautiful App Ready

Your project now glows with unified looks, works great in light or dark, and feels professional from day one.

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Star Growth

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AI-Generated Review

What is design-farmer?

design-farmer is a Shell-based agent skill that scans your GitHub repo and auto-generates a full OKLCH-native design system from existing code patterns. It extracts colors, spacing, and components, then builds tokens, accessible UI elements like buttons and dialogs, dual light/dark themes, Storybook stories, and a DESIGN.md spec—turning ad-hoc styles into a consistent, testable workflow. Install via a simple curl command for tools like agent GitHub Claude, Copilot CLI, or Gemini CLI.

Why is it gaining traction?

Unlike manual token hunting or generic agent skills libraries, it adapts to your repo's state—filling gaps in partial systems without breaking code—and enforces verification with multi-reviewer checks and live QA. Developers dig the agent skills Anthropic integration for Claude Code or agent GitHub Copilot VSCode, plus automatic contrast validation and a11y tests that make UIs production-ready fast. It's a repeatable pipeline for agent GitHub actions, beating one-off prompts.

Who should use this?

Frontend teams using agent skills GitHub for AI-driven UI work, like React/Vue devs prototyping with Claude Code or Copilot CLI who hate style drift. Solo makers bootstrapping design systems from scratch, or design farmers refining agency projects with existing partial tokens. Ideal if you're evaluating agent skills vs MCP in VSCode or IntelliJ.

Verdict

Worth installing for agent skills repo experiments—solid docs and install tests make it easy to try, despite 17 stars and 1.0% credibility signaling early maturity. Skip if you need battle-tested scale; otherwise, curl it up for your next agent GitHub code sprint.

(198 words)

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