OpenEvent Detection Triage

About

This skill provides specialized guidance for troubleshooting the detection engine in OpenEvent-AI, helping developers reconcile LLM and regex signals to fix routing errors. It streamlines the triage process for misclassified intents, out-of-context (OOC) drops, and unexpected triggers—such as site visits or date changes—by providing step-by-step workflows for log analysis, state debugging, and regression testing. It is essential for maintaining the accuracy of the automated event planning pipeline.

Key Features

• Debugging out-of-context (OOC) evidence gating
• Automated trace scripts for deterministic scenario testing
• Unified detection signal analysis (LLM vs Regex)
• Rapid navigation to routing and classification triggers
• Regression test integration for detection logic
• 0 GitHub stars

Use Cases

• Investigating why specific Q&A types or confirmation keywords are being ignored
• Correcting misclassified user intents that lead to the wrong workflow step
• Fixing unexpected site-visit or date-change triggers during user interactions