INVOCA ESTA HABILIDAD al construir CUALQUIER sistema de generación aumentada por recuperación (RAG). Cubre cargadores de documentos, RecursiveCharacterTextSplitter, embeddings (OpenAI) y almacenes vectoriales (Chroma, FAISS, Pinecone).
Esta habilidad está diseñada para desarrolladores que construyen sistemas de generación aumentada por recuperación (RAG) con LangChain. Proporciona una guía completa sobre los componentes esenciales de RAG: cargadores de documentos (como TextLoader, PyPDFLoader), el divisor de texto recursivo (RecursiveCharacterTextSplitter) para fragmentar documentos de manera inteligente, modelos de embeddings (OpenAI) para convertir texto en vectores, y almacenes vectoriales (Chroma, FAISS, Pinecone) para indexar y recuperar información de manera eficiente. Es útil porque estandariza el proceso de RAG, evitando errores comunes como fragmentación inadecuada o mala selección de almacenes. Funciona en plataformas que soportan LangChain (Python) y requiere claves API de OpenAI y configuraciones de almacenes vectoriales. Al invocar esta habilidad, el asistente priorizará el uso de estos componentes recomendados y seguirá las mejores prácticas documentadas en el SKILL.md.
npx skills add https://github.com/langchain-ai/langchain-skills/tree/main/skills/langchain-ragInstalled? Explore more Programación y desarrollo skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
INVOCA ESTA HABILIDAD al construir CUALQUIER sistema de generación aumentada por recuperación (RAG). Cubre cargadores de documentos, RecursiveCharacterTextSplitter, embeddings (OpenAI) y almacenes vectoriales (Chroma, FAISS, Pinecone).
This repo contains 11 individual skills — each has its own dedicated page.
INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.
INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.
INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.
INVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code. Determines which framework layer is right for the task: LangChain, LangGraph, Deep Agents, or a combination. Must be consulted before other agent skills.
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packages, minimum versions, environment requirements, versioning best practices, and common community tool packages for both Python and TypeScript.
Create LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.
INVOKE THIS SKILL when you need human-in-the-loop approval, custom middleware, or structured output. Covers HumanInTheLoopMiddleware for human approval of dangerous tool calls, creating custom middleware with hooks, Command resume patterns, and structured output with Pydantic/Zod.
INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.
INVOKE THIS SKILL when implementing human-in-the-loop patterns, pausing for approval, or handling errors in LangGraph. Covers interrupt(), Command(resume=...), approval/validation workflows, and the 4-tier error handling strategy.
INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, thread_id, time travel, Store, and subgraph persistence modes.
Dispatches many independent items in parallel: create a table, fan out to subagents, aggregate results. One row = one unit of work.
Send and manage iMessages via BlueBubbles, including attachments, tapbacks, edits, replies, and groups.
Control Eight Sleep pods (status, temperature, alarms, schedules).
BluOS CLI (blu) for discovery, playback, grouping, and volume.
Create, search, and manage Bear notes via grizzly CLI.
Capture frames or clips from RTSP/ONVIF cameras.
Search GIF providers with CLI/TUI, download results, and extract stills/sheets.