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meodaiAgent skill for comprehensive color science expertise
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This project provides an agent skill that transforms coding assistants into comprehensive color science experts. It offers deep knowledge across historical and contemporary color theory, accessibility standards, palette generation, and pigment mixing, benefiting developers and researchers needing precise color information.
How It Works The skill operates on a three-layered knowledge base: an immediate "greatest hits" SKILL.md, a structured INDEX.md for topic lookup, and an extensive collection of ~144 markdown files (~286K words) containing deep reference material. Resources like videos, PDFs, GitHub repos, and websites are automatically processed—videos transcribed, PDFs converted, web content scraped—and indexed. This automated curation ensures a broad and deep repository of color science knowledge.
Quick Start & Requirements
npx skills add meodai/skill.color-expert (automatically detects and installs for supported agents like Claude Code, Codex, Cursor, Copilot, OpenCode).git clone https://github.com/meodai/skill.color-expert ~/Sites/color-expert and symlink into the agent's skills directory (e.g., ~/.claude/skills/color-expert).npx skills update or git pull within the cloned directory.Highlighted Details
Maintenance & Community
The project is compiled by @meodai. A ROADMAP.md file tracks planned extensions, and MAINTENANCE.md outlines contribution guidelines and quality standards. No specific community links (Discord, Slack) are provided in the README.
Licensing & Compatibility Original project materials (README, SKILL.md, INDEX.md) are licensed under CC BY 4.0. Third-party source materials retain their original authorship and licenses. Compatibility for commercial use is not explicitly detailed but CC BY 4.0 generally permits commercial use with attribution.
Limitations & Caveats The skill is built upon curated external resources, and its accuracy is dependent on the quality and completeness of these sources. While extensive, it focuses on color science expertise for agents and does not appear to include a benchmarking framework beyond basic trigger/task evaluations. Key opinions are "baked in," suggesting a curated perspective rather than a neutral aggregation of all viewpoints.
3 days ago
Inactive
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