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Skill

langsmith-fetch

@OthmanAdi Updated 2026-04-06

Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.

agent-debuggingai-agentsclaude-skillsclaude-skills-creatorclaude-skills-hubclaude-skills-libarydeveloper-toolsdeveloper-tools-ai-agent

Install

git clone https://github.com/OthmanAdi/langsmith-fetch-skill ~/.claude/skills/langsmith-fetch

From README

LangSmith Fetch - Agent Debugging Skill Debug LangChain and LangGraph agents by fetching execution traces directly from LangSmith Studio in your terminal. When to Use This Skill Automatically activate when user mentions: 🐛 "Debug my agent" or "What went wrong?" 🔍 "Show me recent traces" or "What happened?" ❌ "Check for errors" or "Why did it fail?" 💾 "Analyze memory operations" or "Check LTM" 📊 "Review agent performance" or "Check token " 🔧 "What tools were called?" or "Show execution flow" Prerequisites langsmith-fetch Set Environment Variables Verify Core Workflows Workflow 1: Quick Debug Recent Activity When user asks: "What just happened?" or "Debug my agent" Execute: Analyze and report: ✅ Number of traces found ⚠️ Any errors or failures 🛠️ Tools that were called ⏱️ Execution times 💰 Token Example response format: --- Workflow 2: Deep Dive Specific Trace When user provides: Trace ID or says "investigate that error" Execute: Analyze JSON and report: 🎯 What the agent was...