What problem does it solve? AI-generated code often suffers from over-engineering, excessive comments, deep nesting, and broken dependencies across files. This Skill enforces pragmatic coding standards so every code change stays concise, direct, and consistent. ## Core Features & Use Cases - Coding Standards Enforcement: Applies SRP, DRY, KISS, and YAGNI principles with concrete naming, function size, and structure rules. - Dependency-Aware Editing: Requires checking imports and dependents before modifying any file, preventing broken references. - Verification Workflow: Maps each specialist agent to its validation script and mandates a read-summarize-ask flow before fixing reported issues. - Use Case: When asking an AI to add a feature or fix a bug, this Skill ensures the response is working code without tutorial-style explanations, obvious comments, or unnecessary helper files. ## Quick Start Ask the AI to implement a feature or fix a bug and it will write concise, self-documenting code following these standards.