This is systematic debugging packaged as a workflow: capture the failure signature, reproduce it minimally, isolate with binary search, instrument with structured logs, fix the root cause, verify with a regression test, then add guardrails to prevent recurrence. It handles crashes, flakes, production-only bugs, and distributed tracing with concrete triage tables for each symptom type. The operational addendum adds a fast failure taxonomy for classifying nonzero exits and path/glob issues, which feels very battle-tested. Use this when you're staring at a stack trace or intermittent failure and need a checklist to avoid debugging in circles. The emphasis on fixing causes over symptoms and mitigating before debugging in production is the right default posture.
npx skills add https://github.com/vasilyu1983/ai-agents-public --skill qa-debugging