Can it detect security vulnerabilities?

Yes, it integrates with tools like npm audit and Snyk to perform deep dependency audits and identifies common security flaws in the source code.

How does it help with performance optimization?

The skill analyzes bundle sizes, identifies large dependencies, and scans for inefficient algorithms or React render patterns that cause performance degradation.

What frameworks does Codebase Analyzer support?

While it works across most languages, it features specialized analysis patterns for React, Vue, and Node.js to detect framework-specific issues like prop drilling or unnecessary re-renders.

Does it provide metrics on code complexity?

Absolutely. It calculates cyclomatic complexity, maintainability indices, and line counts to give you a quantitative view of your project's health.

Codebase Analyzer

Name: Codebase Analyzer
Author: deve1993

bydeve1993

•

Security & Testing

Analyzes project architecture, detects code smells, and identifies optimization opportunities for improved code quality and performance.

About

Codebase Analyzer is an expert skill designed to perform comprehensive audits of software projects by scanning for design patterns, anti-patterns, and technical debt. It identifies code duplication, evaluates architectural consistency, and pinpoints performance bottlenecks particularly in modern frontend frameworks like React. By automating dependency auditing, security checks, and complexity metrics, this skill provides developers with an actionable roadmap for refactoring, ensuring that codebases remain maintainable, secure, and highly optimized as they scale.

Key Features

Comprehensive pattern and anti-pattern detection for React and general architectures.
Deep code duplication analysis to identify refactoring and abstraction opportunities.
Automated code quality metrics including cyclomatic complexity and maintainability indices.
Detailed dependency auditing for security vulnerabilities and unused packages.
Performance profiling for identifying unnecessary re-renders and bundle size issues.
1 GitHub stars

Use Cases

Automating complex code reviews to ensure adherence to architectural best practices.
Conducting technical debt assessments before planning major project refactors.
Identifying performance bottlenecks and memory leaks in large-scale applications.

About

Key Features

Comprehensive pattern and anti-pattern detection for React and general architectures.
Deep code duplication analysis to identify refactoring and abstraction opportunities.
Automated code quality metrics including cyclomatic complexity and maintainability indices.
Detailed dependency auditing for security vulnerabilities and unused packages.
Performance profiling for identifying unnecessary re-renders and bundle size issues.
1 GitHub stars

Use Cases

Automating complex code reviews to ensure adherence to architectural best practices.
Conducting technical debt assessments before planning major project refactors.
Identifying performance bottlenecks and memory leaks in large-scale applications.