What problem does it solve? AI-generated code often suffers from over-engineering, excessive comments, deep nesting, and broken cross-file dependencies. This Skill enforces pragmatic coding standards so the AI writes concise, direct, solution-focused code without unnecessary abstractions or tutorials. ## Core Features & Use Cases - Coding Standards Enforcement: Applies SRP, DRY, KISS, YAGNI, and Boy Scout principles with concrete naming, function size, and structure rules. - Dependency-Aware Editing: Requires checking imports, dependents, and tests before modifying any file, ensuring all affected files are updated together. - Verification Workflow: Maps each specialist agent to its own validation script (lint, type coverage, UX audit, security scan) with a mandatory read-summarize-ask output handling protocol. - Use Case: When asking the AI to add a feature or fix a bug, it writes the code directly, updates all dependent files in the same task, runs the appropriate validation script, and reports errors before fixing them. ## Quick Start Ask the AI to implement a feature or fix a bug while following clean code principles and running the matching validation script afterward.
