Automates structured, hypothesis-driven debugging sessions to identify root causes and apply fixes across persistent development cycles.
The pbr:debug skill transforms the debugging process from guesswork into a scientific, documented workflow. By leveraging a dedicated debugger subagent, it systematically generates hypotheses, performs isolated tests, and records evidence in persistent session files. This approach ensures that complex issues are tracked across multiple AI conversations, preventing context loss and ensuring that every code change is backed by a verified root cause analysis. It seamlessly integrates with UAT workflows to automatically ingest and resolve verification gaps.
Key Features
01Persistent session management in .planning/debug/
0211 GitHub stars
03Structured logging of symptoms, evidence, and fixes
04Hypothesis-driven investigation tracking
05Automated subagent delegation for deep analysis
06UAT gap intake for automated bug ingestion
Use Cases
01Troubleshooting complex runtime errors and logic bugs
02Resolving failed UAT/verification gaps during a development phase
03Documenting long-running investigations that span multiple sessions