A comprehensive library of over 1,273 agentic skills for various AI coding assistants, featuring clear documentation and installation instructions.
Annuaire de skills
Découvrez des skills réutilisables pour les AI agents.
Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.
Résultats de recherche: collections
Annuaire en anglaisCurated collection of reusable agent skills for AI coding assistants like Cursor, Claude Code, and GitHub Copilot.
Transform your content into type-safe data collections
Skytable is a modern scalable NoSQL database with BlueQL, designed for performance, scalability and flexibility. Skytable gives you spaces, models, data types, complex collections and more to build powerful experiences
CLI client for installing and managing verified AI agent skillsets from the Nori Skillsets registry, supporting multiple coding agents.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
Official GSAP skill for gsap.utils — clamp, mapRange, normalize, interpolate, random, snap, toArray, wrap, pipe. Use when the user asks about gsap.utils, clamp, mapRange, random, snap, toArray, wrap, or helper utilities in GSAP.
Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.
Install, manage, and share skills across every major coding agent — Claude Code, Cursor, Copilot, and more.
Connect to MongoDB and Atlas and directly from your VS Code environment, navigate your databases and collections, inspect your schema and use playgrounds to prototype queries and aggregations.