deepagents
Gives you a ready-made agent for long, multi-step coding work that can delegate subtasks to sub-agents, manage its own context, keep memory across sessions, and ask you to approve tool calls before they run.

Gives you a ready-made agent for long, multi-step coding work that can delegate subtasks to sub-agents, manage its own context, keep memory across sessions, and ask you to approve tool calls before they run.
Agent skills for building agents with LangChain, LangGraph, and Deep Agents. Covers Deep Agents setup, memory and filesystem backends, subagents, task planning, and human-in-the-loop approval.
Review Talon tool placement and defensive prompts when requested or when adding or changing tools or subagents; apply confirmed…
INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format,…
INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral),…
INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for…
Scaffold a minimal local Deep Agent in Python by following the official quickstart, using provider-native web search instead of…
Scaffold a minimal local Deep Agent in TypeScript by following the official quickstart, using provider-native web search instead…
INVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any…
Inspect an agent repository and optional traces, interview the user, write reviewed Task Specs, build and audit Harbor tasks, and…
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for…
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…
Scaffold a minimal local LangChain agent in Python by following the official quickstart. Use when the user wants to quickly build…
Looks up guidance in the documentation of an open-source framework for building LLM-powered applications and agents.
Looks up reference documentation and usage examples for building applications with the LangChain framework.
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