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.
remember
✓★ 36,200by github
Persistent, domain-organized memory system that captures lessons learned across VS Code projects. Stores reusable knowledge in two scopes: global (all projects) or workspace-specific, automatically organizing learnings by domain Uses simple syntax ( /remember [>domain [scope]] lesson ) to transform debugging sessions and hard-won discoveries into searchable memory instructions Automatically discovers existing memory domains and intelligently categorizes new learnings, creating domain files...
memory-merger
✓★ 36,200by github
Consolidates mature learnings from domain memory files into instruction files with quality-assured merging. Operates on two scopes: global (VS Code user prompts) and workspace (project-specific instructions), with configurable domain targeting Requires explicit user approval before merging, presenting proposed memories for review with proposed locations in the instruction hierarchy Enforces a 10/10 quality bar during merge: zero knowledge loss, minimal redundancy, and maximum scannability...
react-native-best-practices
★ 1,500by callstackincubator
Structured performance optimization reference for React Native apps covering FPS, bundle size, TTI, and memory. Organized into 9 JavaScript/React guides (profiling, lists, animations, memory), 9 native optimization guides (Turbo Modules, threading, profiling), and 9 bundling guides (tree shaking, code splitting, size analysis) Each reference follows a hybrid format with quick patterns/commands, impact ratings (CRITICAL/HIGH/MEDIUM), and deep-dive explanations with prerequisites and common...
deep-agents-core
★ 846by langchain-ai
Foundation framework for building multi-step agents with built-in planning, memory, and skill delegation. Provides six core middleware options: task planning, filesystem context management, subagent delegation, persistent memory, human approval workflows, and on-demand skill loading Includes three always-present built-in tools: write_todos for task tracking, filesystem operations ( ls , read_file , write_file , edit_file , glob , grep ), and task for spawning specialized subagents Supports...