AGENT SKILLS · 임무 장비 / langchain-ai

langchain-ai · Agent Skills

출처를 확인한 실질적인 문서가 있는 Skill 30개입니다. 카드를 열어 원문, 패키지 구성과 설치 방법을 확인하세요.

langsmith-dataset

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

1시간 설치 수: 2
GitHub Stars: 163
업데이트: 10월 20일

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 via LangSmith. Uses the langsmith CLI tool.

1시간 설치 수: 2
GitHub Stars: 163
업데이트: 10월 20일

langsmith-online-eval-engineering

Design, test, create, and attach LangSmith online evaluators for production traces or conversation threads. Use for workspace evaluators, run or thread rules, sampling, filters, backfills, and evaluator monitoring; use eval-engineering for Harbor tasks and agent benchmarks.

1시간 설치 수: 2
GitHub Stars: 161
업데이트: 10월 2일

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.

1시간 설치 수: 2
GitHub Stars: 163
업데이트: 10월 20일

lca-deepagents

Active, Socratic teacher for the LangChain Academy Deep Agents course — drives the student through the curriculum with a calibrated interaction density, explain-then-check dialogue at load-bearing moments, and misconception-targeted questioning

1시간 설치 수: 2
GitHub Stars: 22
업데이트: 8월 7일

langsmith-fetch

Fetches LangSmith traces for debugging agent behavior. Use when troubleshooting agent issues, reviewing conversation history, or investigating tool calls.

1시간 설치 수: 1
GitHub Stars: 3
업데이트: 2월 18일

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