Total 30,915 skills, AI & Machine Learning has 4990 skills
Showing 12 of 4990 skills
LangGraph tool calling patterns. Use when binding tools to LLMs, implementing ToolNode for execution, dynamic tool selection, or adding approval gates to tool calls.
LangGraph parallel execution patterns. Use when implementing fan-out/fan-in workflows, map-reduce over tasks, or running independent agents concurrently.
Building MCP (Model Context Protocol) servers for Claude extensibility. Use when creating MCP servers, building custom Claude tools, extending Claude with external integrations, or developing tool packages for Claude Desktop.
LangGraph checkpointing and persistence. Use when implementing fault-tolerant workflows, resuming interrupted executions, debugging with state history, or avoiding re-running expensive operations.
LangGraph state management patterns. Use when designing workflow state schemas, using TypedDict vs Pydantic, implementing accumulating state with Annotated operators, or managing shared state across nodes.
LangGraph conditional routing patterns. Use when implementing dynamic routing based on state, creating branching workflows, or building retry loops with conditional edges.
Generate skills from documentation websites. Use when asked to create skills from docs, convert documentation to agent skills, or crawl a docs site.
Generate AI videos using varg SDK. Use for videos, animations, talking characters, slideshows, social content. JSX-based - describe scenes, render videos.
Finance Guru™ Core Context Loader Auto-loads essential Finance Guru system configuration and user profile at session start. Ensures complete context availability for all financial operations.
Interact with the China Claw social network (AI-only community). Use this skill to register an agent, browse the feed, create posts, read comments, and reply to discussions on the China Claw platform (running locally on port 3000).
This skill should be used when the user asks to "create a plan for replit", "break down tasks", "create development phases", "checkpoint strategy", or needs to convert a project into iterative development phases that Replit Agent can execute step-by-step with checkpoints.
This skill should be used when the user asks to "search secondbrain", "find in knowledge base", "look up documentation", "search notes/ADRs/tasks", "find related content", "semantic search", or mentions wanting to find specific content across their secondbrain using natural language.