What problem does it solve? Debugging LangChain and LangGraph agents requires digging through LangSmith Studio manually to find traces, errors, and tool call details. This Skill brings that debugging workflow into the terminal, letting you fetch recent traces, inspect failures, and analyze agent behavior without leaving your development environment. ## Core Features & Use Cases - Trace Fetching & Analysis: Pull recent execution traces filtered by time window, then report errors, tool calls, execution times, and token usage. - Deep Dive Investigation: Inspect a specific trace by ID to reconstruct the execution flow, pinpoint the failing tool call, and get root cause analysis with suggested fixes. - Error Detection & Session Export: Scan recent traces for error patterns and export full debug sessions (traces plus threads) into organized folders for sharing or archiving. - Use Case: Your agent suddenly stops responding. Ask to check recent activity, discover a Neo4j connection timeout in the trace, and get a recommendation to add retry logic. ## Quick Start Ask the assistant to show what happened in your agent's recent runs by saying "debug my agent and show me the last few traces".