langchain-dependencies 是做什么的？
在新项目设置或涉及 LangChain、LangGraph、LangSmith 或 Deep Agents 的包版本、安装或依赖管理时调用此技能。涵盖必需的包、最低版本、环境要求、版本控制最佳实践以及 Python 和 TypeScript 的常见社区工具包。
在新项目设置或涉及 LangChain、LangGraph、LangSmith 或 Deep Agents 的包版本、安装或依赖管理时调用此技能。涵盖必需的包、最低版本、环境要求、版本控制最佳实践以及 Python 和 TypeScript 的常见社区工具包。
此技能为开发者在处理 LangChain 生态系统（包括 LangChain、LangGraph、LangSmith 和 Deep Agents）中的依赖管理时提供权威指导。它详细说明了每个库所需的最低版本要求，并推荐了适用于 Python 和 TypeScript 的社区工具包，帮助用户避免因版本不兼容导致的问题。此外，技能还涵盖了环境配置（如虚拟环境或 Node 版本管理）的最佳实践，确保新项目能顺利启动。通过遵循这些指导，团队能更高效地管理依赖更新，同时维持项目的稳定性和可重复性。
npx skills add https://github.com/langchain-ai/langchain-skills/tree/main/skills/langchain-dependenciesInstalled? Explore more 生产力与协作 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
在新项目设置或涉及 LangChain、LangGraph、LangSmith 或 Deep Agents 的包版本、安装或依赖管理时调用此技能。涵盖必需的包、最低版本、环境要求、版本控制最佳实践以及 Python 和 TypeScript 的常见社区工具包。
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.