What problem does it solve? Code changes made from guesswork often introduce regressions or fail silently. This Skill enforces a disciplined workflow for modifying a codebase: locate the right code, reproduce the bug, make a minimal edit, and prove the fix with actual test runs before reporting results. ## Core Features & Use Cases - Targeted Code Search: Combines grep-style content search with a semantic code index to find the right file whether you know the exact symbol or only the behavior. - Safe, Minimal Edits: Uses exact-string replacement editing, keeps diffs scoped to the requested change, and matches existing file style. - Verified Fixes: Reproduces failures before fixing them, runs the full pytest suite after changes, and reports results honestly including anything that could not be executed. - Use Case: A user reports a discount calculation bug. The Skill greps for the function, reproduces the failing test, fixes the percentage math, runs the whole suite to confirm no regressions, and reports exactly what changed and what passed. ## Quick Start Ask the agent to fix the failing discount calculation in the cart module and run the test suite to confirm the fix.