Claude Skill
meodai/skill.color-expert
一个Claude Skill,提供色彩科学专业知识:色彩空间、APCA/WCAG无障碍设计、调色板生成、颜料混合及历史色彩理论。兼容Claude Code、Codex、Cursor、Copilot等工具。
概览
仓库信息
安装这个 Skill
npx skills add meodai/skill.color-expertRegistry 信息
npx skills add meodai/skill.color-expertgit clone https://github.com/meodai/skill.color-expert ~/Sites/color-expertnpx skills update
项目简介
一个专业的Agent技能,提供深入的色彩科学专业知识,涵盖色彩空间、无障碍设计标准(APCA、WCAG)、调色板生成、颜料混合及历史色彩理论。兼容Claude Code、Codex、Cursor、Copilot等AI编码工具。
Agent skill for color science expertise. Many references covering color spaces, accessibility (APCA, WCAG), palette generation, pigment mixing, and historical color theory. Works with Claude Code, Codex, Cursor, Copilot & others.
要点
- 全面的色彩空间参考
- 支持无障碍设计标准(APCA、WCAG)
- 调色板生成与颜料混合指导
- 涵盖历史色彩理论
- 兼容多种AI编码助手
使用场景
- 设计无障碍用户界面
- 生成和谐调色板
- 为艺术项目混合数字颜料
- 在设计中使用历史色彩理论
- 确保Web开发符合WCAG标准
README 摘要
# color-expert An [agent skill](https://agentskills.io) that turns your coding agent into a color science expert. Built from resources I keep looking up, returning to, and sharing with others. ## What this is This started as a simple skill file with some color theory notes. Over time it grew into a comprehensive knowledge base as I kept pasting videos, articles, tools, and papers that I find myself referencing again and again — both for my own work building color tools and for explaining color concepts to others. The skill has three layers: 1. **`SKILL.md`** (~200 lines) — The "greatest hits" that your agent loads immediately. Key facts, corrections, tool recommendations, and guidelines that answer most color questions without needing to dig deeper. 2. **`references/INDEX.md`** (~220 lines) — A structured lookup table your agent can scan to find the right reference file for a specific topic. 3. **`references/`** (144 markdown files, ~286K words) — Deep reference material: full video transcripts, article summaries, library documentation, scraped websites, and research notes. There is also a lightweight **`evals/`** folder for realistic trigger and task prompts so the skill can be reviewed against actual usage instead of only edited by intuition. ## How it was built The collection process is simple: when I come across a color resource worth keeping — a YouTube video, a GitHub repo, a research paper, an article — I paste the URL and the skill's workflow captures it: - **Videos** get transcribed via [`yt-dlp`](https://github.com/yt-dlp/yt-dlp), summarized, and key concepts extracted - **PDFs and documents** get converted to markdown via [`markitdown`](https://github.com/microsoft/markitdown) by Microsoft - **GitHub repos** get their README/docs fetched and docume