deep-agents-core 是做什麼的？
在構建任何 Deep Agents 應用程式時調用此技能。涵蓋 create_deep_agent()、工具架構、SKILL.md 格式以及配置選項。
在構建任何 Deep Agents 應用程式時調用此技能。涵蓋 create_deep_agent()、工具架構、SKILL.md 格式以及配置選項。
此技能為開發者提供了在 LangChain AI 架構中建構深度代理應用程式的核心指南。它詳細說明了 `create_deep_agent()` 函式的使用方法，該函式是建立和管理代理生命週期的關鍵入口點。技能還解析了工具架構，解釋了代理如何與外部工具和服務互動以執行複雜任務。此外，它說明了 SKILL.md 文件的標準格式，確保代理技能描述的一致性和可讀性。最後，技能涵蓋了各種配置選項，允許開發者自訂代理的行為和效能。支援的平台包括 LangChain 框架及其生態系統，適用於需要高度自動化和決策能力的場景。
npx skills add https://github.com/langchain-ai/langchain-skills/tree/main/skills/deep-agents-coreInstalled? Explore more 生產力與協作 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
在構建任何 Deep Agents 應用程式時調用此技能。涵蓋 create_deep_agent()、工具架構、SKILL.md 格式以及配置選項。
This repo contains 11 individual skills — each has its own dedicated page.
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 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.