Fetch, organize, and analyze LangSmith traces for debugging and evaluation. Use when you need to: query traces/runs by project, metadata, status, or time window; download traces to JSON; organize outcomes into passed/failed/error buckets; analyze token/message/tool-call patterns; compare passed vs failed behavior; or investigate benchmark and production failures.
Quickly install langsmith-trace-analyzer AI skill to your development environment via command line
Source: lubu-labs/langchain-agent-skills.
Use this skill to move from raw LangSmith traces to actionable debugging/evaluation insights.
Use langsmith-fetch trace directly, or --trace-ids in downloader scripts.
Use LangSmith SDK listruns/listRuns with filters, then download selected trace IDs.
Fetch, organize, and analyze LangSmith traces for debugging and evaluation. Use when you need to: query traces/runs by project, metadata, status, or time window; download traces to JSON; organize outcomes into passed/failed/error buckets; analyze token/message/tool-call patterns; compare passed vs failed behavior; or investigate benchmark and production failures. Source: lubu-labs/langchain-agent-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/lubu-labs/langchain-agent-skills --skill langsmith-trace-analyzerFetch, organize, and analyze LangSmith traces for debugging and evaluation. Use when you need to: query traces/runs by project, metadata, status, or time window; download traces to JSON; organize outcomes into passed/failed/error buckets; analyze token/message/tool-call patterns; compare passed vs failed behavior; or investigate benchmark and production failures. Source: lubu-labs/langchain-agent-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/lubu-labs/langchain-agent-skills --skill langsmith-trace-analyzer Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/lubu-labs/langchain-agent-skills