by meodai · Codex Skill · ★ 423
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color-expert An agent skill 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: (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. (220 lines) — A structured lookup table your agent can scan to find the right reference file for a specific topic. (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 folder for realistic trigger and task prompts so the skill can be reviewed against actual usage instead of only edited by intuition.
| Stars | 423 |
| Forks | 26 |
| Category | Codex Skill |
| Quality Score | 50.972/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-21 |
| Created | 2026-03-22 |
| Platforms | claude-code, codex |
| Est. Tokens | ~76k |
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skill.color-expert is 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, C. It is categorized as a Codex Skill with 423 GitHub stars.
You can find installation instructions and usage details in the skill.color-expert GitHub repository at github.com/meodai/skill.color-expert. The project has 423 stars and 26 forks, indicating an active community.
The top alternatives to skill.color-expert on Agent Skills Hub include cc-skills-golang, ccmanager, agentmemory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.