What problem does it solve? AI coding sessions often produce bloated diffs, unrequested refactors, speculative abstractions, and full-file rewrites that waste tokens and introduce risk. This Skill constrains code reading and editing to surgical, verifiable changes that match existing style. ## Core Features & Use Cases - Scoped Code Reading: Mandates symbol-level navigation and reference tracing before grep or full-file reads, with offset/limit reads for only the needed lines. - Surgical Editing Rules: Enforces minimal diffs, no code comments, no unrelated cleanup, and citation of existing code by path:lineRange instead of pasting bodies. - Goal-Driven Execution: Converts tasks into verifiable goals (e.g., write a failing test, then make it pass) with explicit step-by-step verification plans. - Use Case: When asked to fix a validation bug, the agent reads the relevant tests and symbol references first, edits only the broken function, removes only the imports its own change orphaned, and verifies via the test suite. ## Quick Start Apply the code-work conventions while fixing the validation bug in the user registration module.