Which programming languages does the Code Analysis skill support?

It supports a wide range of popular languages including JavaScript, TypeScript, Python, Java, C#, Go, Ruby, and PHP, along with their major frameworks.

How does the quality scoring system work?

The skill evaluates code on a 1-10 scale across four dimensions: Readability, Complexity, Maintainability, and Robustness, providing clear justifications for each score.

Does it provide specific code suggestions?

Yes, the analysis reports include 'Improvement Suggestions' that show exactly how to refactor complex or poorly structured code with modern syntax.

Can it detect architectural issues?

The skill performs high-level checks for SOLID principle violations, circular dependencies, and improper coupling between modules.

Can I customize the analysis rules?

Yes, you can configure thresholds for function length, nesting depth, and naming conventions by adding a .code-analysis.json file to your project.

Code Analysis Pro

Name: Code Analysis Pro
Author: Protagonistss

byProtagonistss

Herramientas de Colaboración

Analyzes source code for quality, complexity, and best practices to provide detailed reports and actionable refactoring suggestions.

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The Code Analysis skill is a comprehensive diagnostic tool for developers designed to evaluate code health across multiple dimensions including readability, maintainability, and architectural integrity. Supporting a wide array of languages like TypeScript, Python, and Go, it identifies 'code smells,' calculates cognitive complexity, and detects duplication to help teams systematically reduce technical debt. By generating structured reports with actionable refactoring advice and quality scores, it automates the most tedious parts of the code review process, ensuring that every commit adheres to SOLID principles and industry-standard best practices.

Características Principales

0 GitHub stars
Multi-language support for JavaScript, Python, Java, Go, C#, and Ruby
Automated detection of duplicate code and copy-paste instances
Advanced complexity analysis including Cyclomatic and Cognitive metrics
Comprehensive quality scoring for readability, maintainability, and robustness
Detailed analysis reports with specific before-and-after refactoring examples

Casos de Uso

Enforcing consistent architectural patterns and SOLID principles across engineering teams
Automating initial code reviews to identify common logic errors and style violations
Auditing legacy codebases to quantify technical debt and prioritize refactoring

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Características Principales

0 GitHub stars
Multi-language support for JavaScript, Python, Java, Go, C#, and Ruby
Automated detection of duplicate code and copy-paste instances
Advanced complexity analysis including Cyclomatic and Cognitive metrics
Comprehensive quality scoring for readability, maintainability, and robustness
Detailed analysis reports with specific before-and-after refactoring examples

Casos de Uso

Enforcing consistent architectural patterns and SOLID principles across engineering teams
Automating initial code reviews to identify common logic errors and style violations
Auditing legacy codebases to quantify technical debt and prioritize refactoring