How is the Quality Score calculated?

The score is weighted across five components: Tests Passing (30%), Standards Compliance (25%), Documentation (20%), Pattern Adherence (15%), and Code Metrics (10%).

Does it support TypeScript strict mode?

Yes, the skill specifically includes standards for enabling TypeScript strict mode and following PascalCase for classes and camelCase for variables.

How does it handle Python formatting?

It follows PEP 8 guidelines and enforces modern formatting standards like Black, recommending a line length between 88 and 100 characters.

What programming languages does this skill support?

It currently features specific standards for Python (PEP 8, Google/NumPy docstrings) and JavaScript/TypeScript (ESLint, Prettier), though the scoring framework is designed to be extensible.

Can I use this for automated code reviews?

Yes, this skill is designed to provide objective benchmarks that can be used to validate code quality and consistency during the development and review process.

Quality Standards

Name: Quality Standards
Author: bejranonda

bybejranonda

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Herramientas para Desarrolladores

Enforces code quality benchmarks and language-specific standards to ensure production-ready, maintainable codebases.

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The Quality Standards skill provides a robust framework for maintaining high-quality code by defining specific benchmarks, linting rules, and naming conventions. It evaluates code across multiple dimensions, including test coverage, documentation completeness, and architectural pattern adherence, assigning a numerical quality score to help developers identify areas needing improvement. This skill is essential for teams looking to automate code reviews and uphold strict coding standards across Python, JavaScript, and TypeScript projects within the Claude Code environment.

Características Principales

Documentation and docstring verification
Pattern adherence and complexity metrics
Formatting consistency checks (Black, Prettier)
9 GitHub stars
Automated code quality scoring (0-100)
Language-specific standard enforcement (PEP 8, ESLint)

Casos de Uso

Standardizing coding styles across multi-language repositories
Auditing legacy codebases for technical debt and documentation gaps
Automating quality gate checks during the development lifecycle

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Características Principales

Documentation and docstring verification
Pattern adherence and complexity metrics
Formatting consistency checks (Black, Prettier)
9 GitHub stars
Automated code quality scoring (0-100)
Language-specific standard enforcement (PEP 8, ESLint)

Casos de Uso

Standardizing coding styles across multi-language repositories
Auditing legacy codebases for technical debt and documentation gaps
Automating quality gate checks during the development lifecycle