What problem does it solve?
This Skill ensures your codebases meet high quality benchmarks, preventing technical debt and maintaining consistent standards. It automates the enforcement of best practices, saving you time in manual code reviews and quality checks.
Core Features & Use Cases:
- Define Quality Benchmarks: Establishes clear standards for linting rules, formatting, and naming conventions across various programming languages.
- Language-Specific Standards: Provides tailored guidelines for Python (PEP 8, Type Hints) and JavaScript/TypeScript (ESLint, Prettier).
- Quality Component Scoring: Breaks down overall code quality into measurable components like tests passing, standards compliance, documentation, and code metrics.
- Use Case: Automatically validate a new pull request against defined Python PEP 8 and TypeScript ESLint rules, ensuring all code adheres to project standards before merging. This guarantees consistent quality without manual oversight.
Quick Start:
Apply the quality-standards skill to the current Python project to check for PEP 8 compliance and generate a quality score.