langchain-ai
29 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.
langchain-ailangsmith-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.
- installs
- 2
- GitHub stars
- 153
- Updated
- Aug 17
langchain-ailangsmith-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.
- installs
- 2
- GitHub stars
- 159
- Updated
- Oct 2
langchain-ailangsmith-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.
- installs
- 2
- GitHub stars
- 153
- Updated
- Aug 17
langchain-ailca-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
- installs
- 2
- GitHub stars
- 22
- Updated
- Aug 7
langchain-ailangsmith-fetch
Fetches LangSmith traces for debugging agent behavior. Use when troubleshooting agent issues, reviewing conversation history, or investigating tool calls.
- installs
- 1
- GitHub stars
- 3
- Updated
- Feb 18