langchain-ai

langchain-ai/skills-benchmarks

Plugin Claude Code

Traces Claude Code conversations to LangSmith, including subagent and tool executions.

langchain-ai/skills-benchmarks

Hook

Runs when you submit a prompt, before the agent sees it, executing user-prompt-submit.js via node. From langchain-ai/skills-benchmarks.

langchain-ai/skills-benchmarks

Hook

Runs before the agent uses a tool, executing pre-tool-use.js via node. From langchain-ai/skills-benchmarks.

langchain-ai/skills-benchmarks

Hook

Runs after a tool call finishes, executing post-tool-use.js via node. From langchain-ai/skills-benchmarks.

langchain-ai/skills-benchmarks

Hook

Runs when the agent finishes a response, executing stop.js via node. From langchain-ai/skills-benchmarks.

langchain-ai/skills-benchmarks

Hook

Runs on the StopFailure event, executing stop-failure.js via node. From langchain-ai/skills-benchmarks.

langchain-ai/skills-benchmarks

Hook

Runs when a subagent finishes, executing subagent-stop.js via node. From langchain-ai/skills-benchmarks.

langchain-ai/skills-benchmarks

Hook

Runs before the context is compacted, executing pre-compact.js via node. From langchain-ai/skills-benchmarks.

langchain-ai/skills-benchmarks

Hook

Runs after the context is compacted, executing post-compact.js via node. From langchain-ai/skills-benchmarks.

langchain-ai/skills-benchmarks

Hook

Runs when a session ends, executing session-end.js via node. From langchain-ai/skills-benchmarks.

langchain-ai/skills-benchmarks

Skill Claude CodeCodex

INVOKE 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…

langchain-ai/skills-benchmarks

Skill Claude CodeCodex

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.

langchain-ai/skills-benchmarks

Skill Claude CodeCodex

ALWAYS START HERE for any LangChain, Deep Agents, or LangGraph agent building project. Required starting point before choosing other skills or writing any code. Covers framework selection (LangChain vs LangGraph vs Deep Agents), agent archetypes, dependency setup, and which skills to load next based on your decisions.

langchain-ai/skills-benchmarks

Skill Claude CodeCodex

INVOKE THIS SKILL when building ANY Deep Agents application. Covers createdeepagent(), harness architecture, SKILL.md format, and configuration options.

langchain-ai/skills-benchmarks

Skill Claude CodeCodex

INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.

langchain-ai/skills-benchmarks

Skill Claude CodeCodex

INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.

langchain-ai/skills-benchmarks

Skill Claude CodeCodex

INVOKE THIS SKILL when asked about and/or have to implement 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…

langchain-ai/skills-benchmarks

Skill Claude CodeCodex

Create LangChain agents with createagent, define tools, and use middleware for human-in-the-loop and error handling.

langchain-ai/skills-benchmarks

Skill Claude CodeCodex

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.

langchain-ai/skills-benchmarks

Skill Claude CodeCodex

INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).

langchain-ai/skills-benchmarks

Skill Claude CodeCodex

INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.

langchain-ai/skills-benchmarks

Skill Claude CodeCodex

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.

langchain-ai/skills-benchmarks

Skill Claude CodeCodex

INVOKE THIS SKILL when your LangGraph needs to persist state, remember conversations, travel through history, or configure subgraph checkpointer scoping. Covers checkpointers, threadid, time travel, Store, and subgraph persistence modes.

langchain-ai/skills-benchmarks

Skill Claude CodeCodex

INVOKE THIS SKILL when creating evaluation datasets, uploading datasets to LangSmith, or managing existing datasets. Covers dataset types (finalresponse, singlestep, trajectory, RAG), CLI management commands, SDK-based creation, and example management. Uses the langsmith CLI tool.