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langchain-ai/skills-benchmarks

SkillsMP has collected 21 skills from langchain-ai/skills-benchmarks. Open a skill to review its source and details.

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skills collected
21
GitHub stars
116
GitHub forks
10

Showing 21 of 21 collected skills.

occupation
Computer Occupations, All Other
description

INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents. Covers SubAgentMiddleware, TodoList for planning, and HITL interrupts.

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occupation
Software Developers
description

INVOKE THIS SKILL when asked about and/or have to implement package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents. Covers required packages, minimum versions, environment requirements, versioning best…

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occupation
Software Quality Assurance Analysts & Testers
description

INVOKE THIS SKILL when building evaluation pipelines for LangSmith. Covers three core components: (1) Creating Evaluators - LLM-as-Judge, custom code; (2) Defining Run Functions - how to capture outputs and trajectories from your agent; (3) Running…

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occupation
Software Developers
description

INVOKE THIS SKILL when working with LangSmith tracing OR querying traces. Covers adding tracing to applications and querying/exporting trace data. Uses the langsmith CLI tool.

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occupation
Software Developers
description

INVOKE FIRST for any LangChain / LangGraph / Deep Agents agent building project before consulting other skills or writing any agent code. Required starting point for up to date info on framework selection (LangChain vs LangGraph vs Deep Agents vs hybrid…

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occupation
Software Developers
description

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…

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occupation
Software Developers
description

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…

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occupation
Software Developers
description

ALWAYS START HERE for any LangChain, Deep Agents, or LangGraph agent building project. Required starting point before choosing other skills or writing any code. Covers framework selection (LangChain vs LangGraph vs Deep Agents), agent archetypes, dependency…

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occupation
Software Developers
description

INVOKE THIS SKILL when building ANY Deep Agents application. Covers create_deep_agent(), harness architecture, SKILL.md format, and configuration options.

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occupation
Software Developers
description

INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access. Covers StateBackend (ephemeral), StoreBackend (persistent), FilesystemMiddleware, and CompositeBackend for routing.

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occupation
Software Developers
description

Create LangChain agents with create_agent, define tools, and use middleware for human-in-the-loop and error handling.

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occupation
Software Developers
description

INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).

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occupation
Software Developers
description

INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.

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occupation
Software Developers
description

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.

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occupation
Software Developers
description

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.

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occupation
Software Developers
description

Build LangChain agents with modern patterns. Covers create_agent, LangGraph, and context management.

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occupation
Software Developers
description

OpenAPI documentation and REST API design patterns

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occupation
Database Architects
description

Database migration patterns and schema versioning

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occupation
Network & Computer Systems Administrators
description

Best practices for Docker containerization and multi-stage builds

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occupation
Web Developers
description

Modern React component patterns with hooks and TypeScript

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occupation
Software Quality Assurance Analysts & Testers
description

Unit testing and integration testing best practices

Source text: Undetermined

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Showing 21 of 21 collected skills.