claude

langsmith-skills

Agent skills for tracing, datasets, and evaluation with LangSmith (mirrored from langchain-ai/langsmith-skills).

7 on GitHubby LangChainv0.1.0MITupdated 1 month ago
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Plugin langsmith-skills from marketplace langchain-plugins in langchain-ai/langchain-plugins. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (4)

  • langsmith-custom-apps

    INVOKE THIS SKILL when building, iterating on, copying, or sharing a LangSmith Custom App — a React/TypeScript UI that runs inside LangSmith and reads the LangSmith API. Covers the langsmith apps CLI, pulling an existing app's source, replicating an app into another workspace, verifying app logic wi

  • langsmith-dataset

    INVOKE THIS SKILL when creating evaluation datasets, uploading datasets to LangSmith, or managing existing datasets. Covers dataset types (final_response, single_step, trajectory, RAG), CLI management commands, SDK-based creation, and example management. Uses the langsmith CLI tool.

  • langsmith-evaluator

    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 Evaluations - locally with evaluate() or auto-run v

  • langsmith-trace

    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.

View source on GitHub docs.smith.langchain.com

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