What problem does it solve? Hard bugs and performance regressions resist casual debugging: staring at code rarely finds the cause. This Skill enforces a disciplined six-phase diagnosis loop that builds a tight, deterministic pass/fail signal first, then reproduces, minimizes, hypothesizes, instruments, fixes, and cleans up. ## Core Features & Use Cases - Feedback Loop Construction: Ten ranked strategies for building a red-capable reproduction command, from failing tests and curl scripts to Playwright traces, fuzz loops, and git bisect harnesses. - Structured Hypothesis Testing: Generates 3-5 ranked, falsifiable hypotheses before testing, then instruments with tagged debug logs and one-variable-at-a-time probes. - Regression Test Discipline: Writes the regression test before the fix at a correct seam, and flags architectural problems when no valid seam exists. - Use Case: A user reports that an export endpoint intermittently returns corrupted data. The Skill guides building a deterministic replay loop from a captured request, minimizing the failing scenario, ranking hypotheses, and landing a fix with a regression test. ## Quick Start Use the diagnosing-bugs skill to diagnose why the checkout endpoint intermittently returns a 500 error in production.