Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: spatial

Englisches Verzeichnis

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
Trust
Kategorie: design-creativeAudit

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
Trust
Kategorie: design-creativeAudit

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
Trust
Kategorie: design-creativeAudit

🐍 Geometric Computer Vision Library for Spatial AI

11K
Stars
81/100
Trust
Kategorie: ml-automationAudit

PostGIS spatial database extension to PostgreSQL [mirror]

2.1K
Stars
76/100
Trust
Kategorie: geo-scienceAudit

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
Trust
Kategorie: dataAudit

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

1.0K
Stars
84/100
Trust
Kategorie: geo-scienceAudit

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

121
Stars
76/100
Trust
Kategorie: dataAudit

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

1.2K
Stars
76/100
Trust
Kategorie: robotics-iotAudit

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
Trust
Kategorie: media-automationAudit

Spatial Single Cell Analysis in Python

578
Stars
71/100
Trust
Kategorie: data-analysisAudit

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
Trust
Kategorie: document-processingAudit