langgraph-workflows
Master multi-agent orchestration with LangGraph. Build stateful, fault-tolerant AI workflows using supervisor-worker patterns, conditional routing, and advanced state management.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
474 skills found
Master multi-agent orchestration with LangGraph. Build stateful, fault-tolerant AI workflows using supervisor-worker patterns, conditional routing, and advanced state management.
Adapt existing skills to your unique workflow, or create new ones for repetitive, time-consuming tasks.
Generate optimized SQL queries from natural language. Supports BigQuery, PostgreSQL, MySQL, and Snowflake. Analyze database schemas, interpret business requirements, and output ready-to-run queries with explanations.
Expert skill for implementing the Gemini Interactions API. Use for stateful multi-turn chat, background Deep Research agent tasks, function calling, structured outputs, and modern Python/TypeScript SDK integration.
Architect multi-agent systems to overcome context limits, using patterns like supervisor, swarm, and hierarchical models to manage complex workflows.
A comprehensive configuration suite for Claude Code, featuring production-grade agents, skills, hooks, and automated workflows optimized for high-intensity development.
Integrates browser-native Proofreader API into web applications for AI-powered text correction, grammar checking, and language support with managed model lifecycle.
Advanced web search and reasoning tool for OpenClaw agents. Features citation-heavy synthesis, multi-step reasoning, and live internet access via OpenRouter.
Xero accounting integration. Manage invoices, contacts, bank transactions, and financial records directly through your AI agent.
Neural web search and code context retrieval via Exa AI. Ideal for documentation, technical research, code examples, and company intelligence.
Synchronize English README.md with Chinese README_ZH.md, maintaining content parity and structural consistency for bilingual documentation projects.
Python skill for high-performance storage of chunked N-dimensional arrays using Zarr, supporting cloud storage (S3/GCS), parallel I/O, and integration with NumPy, Dask, and Xarray.