langchain-middleware 是做什麼的？
當你需要人工介入審核 (Human-in-the-loop approval)、自訂中介軟體 (custom middleware) 或結構化輸出 (structured output) 時，請呼叫此技能。涵蓋用於危險工具呼叫人工審核的 HumanInTheLoopMiddleware、帶鉤子 (hooks) 的自訂中介軟體、Command resume 模式，以及基於 Pydantic/Zod 的結構化輸出。
在需要人工介入審核、自訂中介軟體或結構化輸出時呼叫此技能。涵蓋用於危險工具呼叫人工審核的 HumanInTheLoopMiddleware、帶鉤子的自訂中介軟體、Command resume 模式以及基於 Pydantic/Zod 的結構化輸出。
此技能專為需要人工審核、自訂中介軟體或結構化輸出的 AI 代理開發場景設計。它支援 HumanInTheLoopMiddleware，可在代理執行危險工具呼叫前請求人工批准，增強安全性。同時，提供帶鉤子 (hooks) 的自訂中介軟體開發指南、Command resume 模式（允許從中斷處繼續執行），以及基於 Pydantic (Python) 或 Zod (TypeScript) 的結構化輸出方案。此技能適用於 LangChain 生態系統，適用於 Claude Code、Cursor、Codex 等平台，幫助開發者在 AI 代理流程中實現更細粒度的控制與驗證。
npx skills add https://github.com/langchain-ai/langchain-skills/tree/main/skills/langchain-middlewareInstalled? Explore more 程式設計與開發 skills: steipete/bluebubbles, steipete/eightctl, steipete/blucli · View all 6 →
當你需要人工介入審核 (Human-in-the-loop approval)、自訂中介軟體 (custom middleware) 或結構化輸出 (structured output) 時，請呼叫此技能。涵蓋用於危險工具呼叫人工審核的 HumanInTheLoopMiddleware、帶鉤子 (hooks) 的自訂中介軟體、Command resume 模式，以及基於 Pydantic/Zod 的結構化輸出。
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 building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).
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.