langchain-ai · Agent Skills

29 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.

langchain-ai

官方

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.

安装量

2

GitHub Stars

153

最近更新

8月17日

1 文件

查看详情 →

langchain-ai

官方

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.

安装量

2

GitHub Stars

159

最近更新

10月2日

MIT4 文件

查看详情 →

langchain-ai

官方

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.

安装量

2

GitHub Stars

153

最近更新

8月17日

1 文件

查看详情 →

langchain-ai

官方

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

安装量

2

GitHub Stars

22

最近更新

8月7日

27 文件

查看详情 →

langchain-ai

官方

langsmith-fetch

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

安装量

1

GitHub Stars

3

最近更新

2月18日

1 文件

查看详情 →