What problem does it solve? Hard bugs and performance regressions stall when developers stare at code without a reproducible signal. This Skill enforces a disciplined six-phase loop — build a feedback loop, reproduce, hypothesise, instrument, fix, and clean up — so debugging converges on the real root cause instead of guesswork. ## Core Features & Use Cases - Feedback-loop construction: Ten ranked strategies for building a deterministic pass/fail signal, from failing tests and curl scripts to headless browser runs, replayed traces, fuzz loops, and git bisect harnesses. - Falsifiable hypothesis ranking: Generates 3–5 ranked hypotheses with explicit predictions before any testing, avoiding single-hypothesis anchoring. - Tagged instrumentation and cleanup: Every debug log gets a unique [DEBUG-xxxx] prefix so removal is a single grep, and a post-mortem checklist captures the confirmed root cause. - Use Case: A user reports that an export endpoint intermittently returns corrupted data. The Skill guides building a 100-iteration loop to raise the reproduction rate, ranking hypotheses, instrumenting the boundary, and landing a regression test at the correct seam. ## Quick Start Ask the agent to diagnose the bug you are seeing and describe the exact symptom, error message, or performance regression you observed.
