langchain-dependencies 是做什麼的？
當您建立新專案或處理 LangChain、LangGraph、LangSmith 或 Deep Agents 的套件版本、安裝與相依性管理時，請呼叫此技能。它涵蓋了必要套件、最低版本、環境需求、版本控制最佳實務，以及 Python 和 TypeScript 的常見社群工具套件。
在建立新專案或處理 LangChain、LangGraph、LangSmith 或 Deep Agents 的套件版本、安裝與相依性管理時使用。涵蓋必要套件、最低版本、環境需求、版本控制最佳實務，以及 Python 和 TypeScript 的常見社群工具套件。
此技能旨在協助開發者在設定新專案或管理 LangChain、LangGraph、LangSmith 及 Deep Agents 的相依性時，提供精確的套件版本、安裝指示與依賴管理資訊。無論是 Python 還是 TypeScript 生態系統，技能都能涵蓋必要套件清單、最低版本要求、執行環境規範（如 Python 3.11+ 或特定 Node.js 版本）、版本鎖定策略（如使用 `pip` 的 `requirements.txt` 或 `pdm`、`npm` 的 `package.json`），以及常見的社群工具整合（如 LangChain 的社群貢獻套件）。透過此技能，開發者可避免版本衝突、確保相容性，並遵循官方建議的最佳實務，從而加速專案搭建與維護。支援平台包含但不限於 LangChain、LangGraph、LangSmith 及 Deep Agents 的 CLI 與 SDK。
npx skills add https://github.com/langchain-ai/langchain-skills/tree/main/skills/langchain-dependenciesInstalled? Explore more 生產力與協作 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
當您建立新專案或處理 LangChain、LangGraph、LangSmith 或 Deep Agents 的套件版本、安裝與相依性管理時，請呼叫此技能。它涵蓋了必要套件、最低版本、環境需求、版本控制最佳實務，以及 Python 和 TypeScript 的常見社群工具套件。
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.
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 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.
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
Create, edit, audit, tidy, validate, or restructure AgentSkills and SKILL.md files.
Search, install, update, sync, or publish agent skills with the ClawHub CLI and registry.
Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
List, configure, authenticate, call, and inspect MCP servers/tools with mcporter over HTTP or stdio.