Agent Skills
Instruction packs that give your AI agent know-how. Three different kinds — pick the right one below.
✦ Standalone skills2,933
Self-contained. Install one into any project and it works on its own — no other software needed.
🧰 Tool add-ons725
Come bundled with a specific tool and only work together with it — they teach your agent how to operate that tool.
memory-management
✓★ 22,300by anthropic
Two-tier memory system that decodes workplace shorthand, acronyms, and internal language for contextual understanding. CLAUDE.md serves as a hot cache of ~30 frequent contacts, common terms, and active projects; memory/ directory stores the complete glossary, detailed profiles, and project context Tiered lookup flow checks CLAUDE.md first (covers 90% of daily decoding), then searches memory/glossary.md, then asks the user for unknown terms Supports progressive disclosure: quick parsing from...
ios-memgraph-leaks
✓★ 4,000by openai
Capture, inspect, compare, and root-cause iOS memory graph leaks using Apple's leaks and memgraph tools. Use when debugging leaked iOS objects, simulator…
continual-learning
✓★ 2,700by microsoft
Guide for implementing continual learning in AI coding agents — hooks, memory scoping, reflection patterns. Use when setting up learning infrastructure for…
continual-learning
✓★ 2,700by microsoft
Guide for implementing continual learning in AI coding agents — hooks, memory scoping, reflection patterns. Use when setting up learning infrastructure for…
langchain-dependencies
★ 846by langchain-ai
LangChain ecosystem package versions, dependencies, and installation guidance for Python and TypeScript. Start all new projects on LangChain 1.0 LTS; version 0.3 is legacy maintenance-only. Always install langchain-core explicitly alongside other packages. Choose one orchestration layer: LangGraph for fine-grained graph control, or Deep Agents for batteries-included planning and memory. Pin langchain-community conservatively to exact minor versions (e.g., >=0.4.0,<0.5.0 ) since it does not...
deep-agents-memory
★ 846by langchain-ai
Pluggable memory and file backends for Deep Agents with ephemeral, persistent, and hybrid routing options. Four backend types: StateBackend (thread-scoped, ephemeral), StoreBackend (cross-session persistent), FilesystemBackend (real disk access for local dev), and CompositeBackend (route different paths to different backends) FilesystemMiddleware provides six file operation tools: ls , read_file , write_file , edit_file , glob , grep CompositeBackend uses longest-prefix matching to route...
deep-agents-memory
★ 108by langchain-ai
INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent),…
mapbox-web-integration-patterns
★ 68by mapbox
Production-ready integration patterns for Mapbox GL JS across React, Vue, Svelte, Angular, and vanilla JavaScript. Covers framework-specific lifecycle management (useEffect/useRef in React, mounted/unmounted in Vue, onMount/onDestroy in Svelte, ngOnInit/ngOnDestroy in Angular) with proper cleanup to prevent memory leaks Includes Web Components pattern for framework-agnostic reusable map elements and cross-framework compatibility Provides token management via environment variables, Search JS...