What problem does it solve?
Manually analyzing MaaNTE GitHub issues, scattered log files, and project code to identify root causes of feature failures, crashes, and misconfigurations is time-consuming and requires deep familiarity with the project's architecture, controller modes, and common pitfalls. This Skill eliminates that manual effort by automating evidence collection, cross-referencing, and root cause validation.
Core Features & Use Cases
- Automated Issue & Log Parsing: Fetches MaaNTE GitHub issues, extracts log attachments (zip archives, .dmp crash dumps, screenshots), and organizes evidence from MaaFramework core logs, Python agent logs, MXU client logs, and configuration files.
- Pre-built Knowledge Guardrails: Applies verified rules for common misconfigurations (controller mismatches, environment requirement violations, game setting interference) to avoid false root cause judgments.
- Use Case: When a user reports that a MaaNTE task is not working, the app crashes, or recognition fails, use this Skill to pull the issue, analyze all attached logs, cross-reference with project code and upstream documentation, and get a verified root cause and fix recommendation in minutes instead of hours.
Quick Start
Use the maante-issue-log-analysis skill to investigate GitHub issue #1234 for MaaNTE, extract its attached log files, cross-reference with project code and documentation, and generate a verified root cause report for the reported task failure.