🎯Skills18
Batteries-included agent harness by LangChain providing a ready-to-run agent with built-in planning, filesystem access, shell execution, sub-agent delegation, and automatic context management.
Performs web research tasks within the Deep Agents framework, an opinionated agent harness that provides ready-to-run agents with built-in prompts, tools, and context management.
Batteries-included agent harness by LangChain providing a ready-to-run agent with built-in planning, filesystem access, shell execution, sub-agent delegation, and automatic context management.
Batteries-included agent harness by LangChain providing a ready-to-run agent with built-in planning, filesystem access, shell execution, sub-agent delegation, and automatic context management.
Batteries-included agent harness by LangChain providing a ready-to-run agent with built-in planning, filesystem access, shell execution, sub-agent delegation, and automatic context management.
Batteries-included agent harness by LangChain providing a ready-to-run agent with built-in planning, filesystem access, shell execution, sub-agent delegation, and automatic context management.
Batteries-included agent harness by LangChain providing a ready-to-run agent with built-in planning, filesystem access, shell execution, sub-agent delegation, and automatic context management.
Explores and maps database schemas and API structures for rapid comprehension, from Deep Agents, LangChain's batteries-included agent harness.
A Deep Agents skill for data visualization tasks, part of LangChain's open-source agent harness that supports sub-agents, filesystem access, shell commands, and persistent memory across any LLM with tool calling.
Part of the Deep Agents library by LangChain, a batteries-included agent harness that provides planning, filesystem access, shell execution, sub-agent delegation, and auto-summarization out of the box with smart defaults.
A skill for Deep Agents, an opinionated Python agent harness by LangChain that provides planning, filesystem read/write, shell execution, sub-agent delegation, and automatic context summarization — delivering a fully functional agent out of the box.
Deep Agents is an opinionated, batteries-included agent harness by LangChain that provides planning, filesystem access, shell commands, sub-agents, and context management out of the box. Built on LangGraph, it supports any LLM with tool calling and can be customized with your own tools, prompts, and models.
Part of Deep Agents by LangChain, a batteries-included agent harness with planning (task breakdown), filesystem operations, shell access, sub-agent delegation, smart prompt defaults, and auto-summarization for context management.
Provides task breakdown and progress tracking capabilities using write_todos for structured planning within the Deep Agents harness by LangChain.
A code review skill from LangChain's Deep Agents framework, a batteries-included agent harness for automated code review and quality assurance workflows.
Part of LangChain's Deep Agents framework, a batteries-included agent harness for building sophisticated AI agents with built-in skills including competitor analysis, available as a Python package with full documentation.
A coding preferences skill for Deep Agents, a batteries-included open-source agent harness by LangChain that provides planning, filesystem access, shell execution, sub-agents, and context management out of the box with any LLM.
A Deep Agents skill for multi-agent orchestration, built on LangChain's batteries-included agent harness with sub-agents, filesystem access, context management, shell access, and persistent memory.