What problem does it solve? AI-generated code often suffers from over-engineering, excessive comments, deep nesting, and unnecessary abstractions. This Skill enforces pragmatic coding standards so generated code stays concise, readable, and free of bloat. ## Core Features & Use Cases - Coding Standards Enforcement: Applies SRP, DRY, KISS, YAGNI, and Boy Scout principles with concrete naming, function size, and structure rules. - Anti-Pattern Detection: Flags common mistakes like god functions, magic numbers, deep nesting, and unnecessary helper files, with direct fixes. - Dependency-Aware Editing: Requires checking imports and dependents before editing any file, preventing broken references across the codebase. - Verification Workflow: Maps agents to validation scripts (lint, type coverage, UX audit, security scan) with a mandatory read-summarize-ask output handling process. - Use Case: When asking an AI to add a feature or fix a bug, this Skill ensures the response is working code only—no tutorials, no obvious comments, and all dependent files updated in the same task. ## Quick Start Ask the AI to implement a feature or fix a bug and it will write concise, self-documenting code following clean code principles.
