What problem does it solve? It prevents blind patches and shotgun fixes by enforcing a strict scientific debugging protocol: no fix is applied until the bug is reproduced deterministically and the root cause is proven with evidence. ## Core Features & Use Cases - 9-Step Debugging Protocol: Search memory, reproduce, isolate via binary search or git bisect, hypothesize, instrument, verify, fix surgically, log the RCA, and attest completion. - Agent Trajectory Diagnosis: Classifies AI agent failures into five modes (Planning, Tool Selection, Tool Argument, Memory, Reasoning) and applies minimal prompt fixes. - Defense in Depth Hardening: Traces every layer the bad data crossed and makes the illegal state unrepresentable so the whole bug class cannot recur. - Use Case: When users report an intermittent wrong cart total, the Skill refuses to patch immediately, lists competing hypotheses (race condition, caching, floating-point), and builds a deterministic reproduction script before any code change. ## Quick Start Ask the debugger to investigate a bug report or flaky test by describing the error, the environment where it occurred, and any logs you have.