langchain-ai

29 skills en el marketplaceEn GitHub

Skills de los repositorios de langchain-ai, las más instaladas primero.

Skills

deep-agents-memory langchain-aiINVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.17.9 k instalaciones en skills.sh0
langgraph-persistence langchain-aiINVOKE 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.16.8 k instalaciones en skills.sh0
langgraph-fundamentals langchain-aiINVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.16.6 k instalaciones en skills.sh0
langchain-rag langchain-aiINVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).16.4 k instalaciones en skills.sh0
langchain-fundamentals langchain-aiCreate LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.16.3 k instalaciones en skills.sh0
langgraph-human-in-the-loop langchain-aiINVOKE 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.16.1 k instalaciones en skills.sh0
langchain-middleware langchain-aiINVOKE 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.15.2 k instalaciones en skills.sh0
deep-agents-orchestration langchain-aiINVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.15 k instalaciones en skills.sh0
deep-agents-core langchain-aiINVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.14.9 k instalaciones en skills.sh0
langchain-dependencies langchain-aiINVOKE 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.14.9 k instalaciones en skills.sh0
langgraph-cli langchain-aiINVOKE THIS SKILL when using the langgraph CLI to scaffold, develop, build, or deploy LangGraph applications. Covers langgraph new, dev, build, up, deploy, and langgraph.json configuration.8,000 instalaciones en skills.sh0
managed-deep-agents langchain-aiINVOKE THIS SKILL when building, testing, or deploying Managed Deep Agents in LangSmith. Walks a user through their first agent end to end — interviewing them about what they want to build, mapping it onto what MDA can actually do, then scaffolding and deploying it. Covers the file-based project layout; define_deep_agent / defineDeepAgent; instructions, skills, memory, identity, tools, MCP servers, connections, middleware, sandboxes, schedules, channels, and evals; the mda CLI; GitHub deployments; and Context Hub.8,000 instalaciones en skills.sh0
swarm langchain-aiDispatches many independent items in parallel: create a table, fan out to subagents, aggregate results. One row = one unit of work.7,800 instalaciones en skills.sh0
ecosystem-primer langchain-aiINVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any agent code. Required starting point for up to date info on framework selection (LangChain vs LangGraph vs Deep Agents vs hybrid composition), agent patterns, install, environment setup, and which skill to load next.7,000 instalaciones en skills.sh0
langsmith-evaluator langchain-aiINVOKE THIS SKILL when building evaluation pipelines for LangSmith. Covers three core components: (1) Creating Evaluators - LLM-as-Judge, custom code; (2) Defining Run Functions - how to capture outputs and trajectories from your agent; (3) Running Evaluations - locally with evaluate() or auto-run via LangSmith. Uses the langsmith CLI tool.4,700 instalaciones en skills.sh0
langsmith-trace langchain-aiINVOKE THIS SKILL when working with LangSmith tracing OR querying traces. Covers adding tracing to applications and querying/exporting trace data. Uses the langsmith CLI tool.4,700 instalaciones en skills.sh0
langsmith-dataset langchain-aiINVOKE THIS SKILL when creating evaluation datasets, uploading datasets to LangSmith, or managing existing datasets. Covers dataset types (final_response, single_step, trajectory, RAG), CLI management commands, SDK-based creation, and example management. Uses the langsmith CLI tool.4,600 instalaciones en skills.sh0
langgraph-docs langchain-aiFetches and references LangGraph Python documentation to build stateful agents, create multi-agent workflows, and implement human-in-the-loop patterns. Use when the user asks about LangGraph, graph agents, state machines, agent orchestration, LangGraph API, or needs LangGraph implementation guidance.4,500 instalaciones en skills.sh0
eval-engineering langchain-aiInspect an agent repository and optional traces, interview the user, write reviewed Task Specs, build and audit Harbor tasks, and bootstrap reusable project World Knowledge Skills. Use for agent evals, benchmark design, Task generation, controlled Environments, synthetic data, Verifiers, Harbor runs, calibration, or continuous benchmark maintenance.4,300 instalaciones en skills.sh0
langgraph-python-quickstart langchain-aiScaffold a minimal local LangGraph agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent locally.4,200 instalaciones en skills.sh0
deepagents-python-quickstart langchain-aiScaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.4,000 instalaciones en skills.sh0
deepagents-typescript-quickstart langchain-aiScaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead of Tavily. Use when the user wants to quickly build or try a Deep Agent locally.4,000 instalaciones en skills.sh0
langchain-python-quickstart langchain-aiScaffold a minimal local LangChain agent in Python by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.4,000 instalaciones en skills.sh0
langchain-typescript-quickstart langchain-aiScaffold a minimal local LangChain agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangChain agent locally.4,000 instalaciones en skills.sh0
langgraph-typescript-quickstart langchain-aiScaffold a minimal local LangGraph agent in TypeScript by following the official quickstart. Use when the user wants to quickly build or try a LangGraph agent locally.4,000 instalaciones en skills.sh0
web-research langchain-aiSearches multiple web sources, synthesizes findings, and produces cited research reports using delegated subagents. Use when the user asks to research a topic online, search the web, look something up, find current information, compare options, or produce a research report.3,900 instalaciones en skills.sh0
social-media langchain-aiDrafts engaging social media posts, writes hooks, suggests hashtags, creates thread structures, and generates companion images. Use when the user asks to write a LinkedIn post, tweet, Twitter/X thread, social media caption, social post, or repurpose content for social platforms.2,700 instalaciones en skills.sh0
arxiv-search langchain-aiSearches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.2,300 instalaciones en skills.sh0
blog-post langchain-aiWrites and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation. Use when the user asks to write a blog post, article, how-to guide, tutorial, technical writeup, thought leadership piece, or long-form content.2,200 instalaciones en skills.sh0