Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: painting

英語版ディレクトリ

🏖 Keras Implementation of Painting outside the box

1.1K
Stars
66/100
信頼
カテゴリ: robotics-iot監査

Digital ink painting on WebGL + p5.js — records every gesture as JSON and replays them as time-based generative art.

107
Stars
67/100
信頼
カテゴリ: design-creative監査

Analyze labor productivity from site data. Compare planned vs actual, identify trends, benchmark against industry standards.

282
Stars
63/100
信頼
カテゴリ: data-analysis監査

Develop art direction for image generation with curated style cards distilled from Open Image Prompts. Use when choosing or comparing visual directions, improving an existing generation prompt, or translating a subject, use case, or supplied image into a compact creative spec. Use img-gen-prompts for real archive examples, exact source prompts, or gallery browsing.

224
Stars
64/100
信頼
カテゴリ: research監査

READ this skill when implementing or configuring animation-style shaders (Toon/Cel Shaders) — including outlines, rim lighting, toon shading, MatCap, emission, dissolve, hatching, or any stylized rendering effect. Contains preset styles and feature-to-reference mappings for lilToon, Poiyomi, UTS2, RToon, SToon, and ToonShadingCollection. Works as a domain knowledge plugin alongside workflow skills (OpenSpec, SpecKit) or plan mode of an agent.

57
Stars
57/100
信頼
カテゴリ: research監査