What problem does it solve? Diagnosing hangup events on HT9045 test handlers requires manually digging through EventLog files, Task_ListWithTime state records, and PickHPRec logs, which is slow and error-prone. This Skill automates the intake and analysis of hangup data to identify suspected modules and root causes. ## Core Features & Use Cases - Automated Log Summarization: Runs analyze_hangup.py to produce a hangup_summary.json containing significant EventLog entries, top error codes, suspicious stuck tasks, and detected anomalies. - Suspected Module Mapping: Maps findings to handler modules such as InArm, OutArm, Shuttle, Index, HotPlate, CatchTray, AutoClean, and ATC, then routes to the corresponding deep-dive sub-skills. - Source Code Correlation: Locates the exact file, line, and function in the V899 source code matching EventLog messages, with an optional error index build for faster lookup. - Use Case: A field engineer receives a hangup folder from an ASE/JCET/SPIL site, runs the analysis, and gets a structured zh-tw report with timeline, evidence, root cause hypotheses, and suggested fixes. ## Quick Start Analyze the latest hangup folder and produce a root cause report with suspected modules and code locations.
