Skill UI

This skill simulates a documentation expert, capable of generating comprehensive, maintainable technical documentation directly from source code. It analyzes codebases to produce various artifacts, including API documentation, system architecture diagrams, comprehensive user guides, and technical reference manuals. It is essential for standardizing documentation and building automated documentation pipelines in large, complex projects.

A specialist tool designed to generate, format, and validate comprehensive technical documentation. It supports multiple standards, including Google/NumPy docstrings (for Python), JSDoc (for TypeScript), and full OpenAPI/Swagger specifications. Key features include automated detection of code languages and frameworks, robust validation of code examples (using tools like doctest and OpenAPI linters), and generating structured user guides or site configurations.

This comprehensive skill uses industry-standard tools like Prettier to automatically format and validate code files across multiple languages (JavaScript, TypeScript, JSON, CSS, Markdown, etc.). It ensures code style consistency, improves readability, and helps maintain a clean, professional codebase. Use it when needing to "format my code," "check formatting," or enforce code style across a project.

Automates code injection detection guidance as part of Security Fundamentals, offering step-by-step advice, best-practice patterns, and production-ready snippets for authentication, input validation, and secure coding scenarios.

Systematic code maturity assessment using Trail of Bits' 9-category framework, analyzing arithmetic safety, access controls, documentation, MEV risks, testing, and more to deliver evidence-backed scorecards and actionable recommendations.

This expert analyzes and refactors provided code based on clean code principles, SOLID design patterns, and modern software engineering best practices. It is designed to significantly improve the quality, maintainability, and performance of complex, messy, or poorly structured codebases, ensuring the resulting code is robust, scalable, and easy to maintain.

This expert skill analyzes codebases to identify, quantify, and prioritize all forms of technical debt—including code complexity, architectural flaws, outdated dependencies, and testing gaps. It calculates the measurable impact of this debt on development velocity, bug rates, and overall business risk. The output provides a comprehensive, actionable, and ROI-driven roadmap for systematic remediation.

An expert AI specialist that integrates advanced static analysis (e.g., CodeQL, SonarQube) with modern DevOps practices. It performs multi-layered code reviews, checking for security vulnerabilities, performance bottlenecks, architectural flaws, and adherence to best practices across various languages. Ideal for CI/CD pipelines and pull request validation.

This comprehensive checklist provides a systematic framework for conducting thorough code reviews. It covers critical areas including functionality, security vulnerabilities, performance optimization, and overall code maintainability. Use it when reviewing pull requests, conducting code audits, or standardizing team development practices.

This skill helps transform code reviews from simple gatekeeping into a powerful knowledge-sharing mechanism. It guides users through systematic analysis of code changes, focusing on correctness, security, performance, and maintainability. Use it when reviewing pull requests, establishing best practices, or mentoring developers to ensure high-quality, robust codebase development.

This skill simulates a senior engineer conducting comprehensive code reviews. It analyzes code diffs and files to identify bugs, security vulnerabilities (e.g., SQL injection, XSS), performance issues (N+1), code smells, and architectural flaws. It is ideal for reviewing pull requests, performing code quality audits, or conducting security assessments, providing structured, actionable, and prioritized feedback.

Automated skill providing code splitting guidance for frontend development, covering React/Vue/CSS, modern performance and accessibility best practices, and producing validated, production-ready configurations.