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SkillHub ClubResearch & OpsFull StackData / AITesting

langsmith-observability

LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
5,239
Hot score
99
Updated
March 20, 2026
Overall rating
C4.0
Composite score
4.0
Best-practice grade
B73.6

Install command

npx @skill-hub/cli install orchestra-research-ai-research-skills-langsmith
ObservabilityLangSmithTracingEvaluationMonitoringDebuggingTestingLLM OpsProduction

Repository

Orchestra-Research/AI-Research-SKILLs

Skill path: 17-observability/langsmith

LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.

Open repository

Best for

Primary workflow: Research & Ops.

Technical facets: Full Stack, Data / AI, Testing.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: Orchestra-Research.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install langsmith-observability into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/Orchestra-Research/AI-Research-SKILLs before adding langsmith-observability to shared team environments
  • Use langsmith-observability for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

langsmith-observability | SkillHub