Automates technical bug investigation and generates standardized markdown reports using AI subagents.
This skill streamlines the debugging workflow by deploying an 'Explore' subagent to perform deep-dive investigations into code paths and root causes before a report is ever written. It ensures project consistency by automatically generating structured markdown files in the DevPlans/Bugs/ directory, complete with technical analysis, affected file paths, and potential solutions. By leveraging Claude Opus for the investigation phase, it transforms vague symptoms into actionable developer documentation with clear status tracking and priority levels.
Key Features
01Standardized markdown report generation with technical specifications
020 GitHub stars
03Identification of affected code paths and specific line numbers
04Automated 'Explore' subagent for deep-code root cause analysis
05Integrated status management (OPEN, FIXED, REJECTED) via file naming
06Structured solution mapping and priority assessment
Use Cases
01Converting user-reported symptoms into technical root-cause documentation
02Performing deep-dive investigations into complex logic errors across multiple systems
03Maintaining a standardized, version-controlled bug tracking system within a repository
