Annuaire de skills

Découvrez des skills réutilisables pour les AI agents.

Recherchez de vrais skills GitHub par tâche et vérifiez Stars, confiance, audit, catégorie et chemin d’installation avant de les utiliser.

Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.

Résultats de recherche: spatial

Annuaire en anglais

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
Confiance
Catégorie: 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
Confiance
Catégorie: 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
Confiance
Catégorie: design-creativeAudit

🐍 Geometric Computer Vision Library for Spatial AI

11K
Stars
81/100
Confiance
Catégorie: ml-automationAudit

PostGIS spatial database extension to PostgreSQL [mirror]

2.1K
Stars
76/100
Confiance
Catégorie: 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
Confiance
Catégorie: dataAudit

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

1.0K
Stars
84/100
Confiance
Catégorie: geo-scienceAudit

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

121
Stars
76/100
Confiance
Catégorie: dataAudit

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

1.2K
Stars
76/100
Confiance
Catégorie: 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
Confiance
Catégorie: media-automationAudit

Spatial Single Cell Analysis in Python

578
Stars
71/100
Confiance
Catégorie: 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
Confiance
Catégorie: document-processingAudit