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: spatial

英語版ディレクトリ

Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.

18K
Stars
87/100
信頼
カテゴリ: design-creative監査

Reviews animation and motion code against a high craft bar derived from Emil Kowalski's design engineering philosophy. Default to flagging; approval is earned.

18K
Stars
87/100
信頼
カテゴリ: design-creative監査

This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.

13K
Stars
87/100
信頼
カテゴリ: design-creative監査

🐍 Geometric Computer Vision Library for Spatial AI

11K
Stars
81/100
信頼
カテゴリ: ml-automation監査

PostGIS spatial database extension to PostgreSQL [mirror]

2.1K
Stars
76/100
信頼
カテゴリ: geo-science監査

A platform-neutral analytical skill that profiles messy data, selects adaptive methods, and produces source-backed visual reports for high-stakes decisions.

204
Stars
77/100
信頼
カテゴリ: data監査

A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.

1.0K
Stars
84/100
信頼
カテゴリ: geo-science監査

A Codex-first agent skill that turns spatial data into polished, verified interactive maps and report-ready figures.

121
Stars
76/100
信頼
カテゴリ: data監査

⚡️The spatial perception framework for rapidly building smart robots and spaces

1.2K
Stars
76/100
信頼
カテゴリ: robotics-iot監査

Cosmos-Transfer2.5, built on top of Cosmos-Predict2.5, produces high-quality world simulations conditioned on multiple spatial control inputs.

684
Stars
73/100
信頼
カテゴリ: media-automation監査

Spatial Single Cell Analysis in Python

578
Stars
71/100
信頼
カテゴリ: data-analysis監査

This layout engine can solve the hardest layout problems imaginable. Its output is DTP grade and deterministic. It's faster than engines written in C++ because it's not traditional. Backed by game engine tech, it has a microkernel and runs a spatial-temporal simulation instead of a giant complex pagination loop.

549
Stars
70/100
信頼
カテゴリ: document-processing監査