Browse skills

Automates Python/Java backend code reviews, identifying potential bugs, style issues, and security vulnerabilities.

Automates Python/Django backend code reviews, identifying potential bugs, style issues, and security vulnerabilities.

Automates code review feedback analysis, prioritizing issues and suggesting fixes based on eyadsibai's established style guidelines.

This skill analyzes data to identify accessibility issues & opportunities, ensuring digital content meets inclusivity standards for broader user access.

Retrieves application logs from various sources using Uloop for troubleshooting and debugging issues quickly.

Visually inspect and analyze website elements, identifying CSS properties and potential styling issues with detailed reports.

Analyzes enterprise system user interfaces, identifies usability issues, and suggests practical UX improvements based on best practices.

This AI analyzes your backend code for potential bugs, style issues, and security vulnerabilities, improving code quality and reducing errors.

Analyzes code review diffs, highlighting potential issues and suggesting improvements based on best practices.

Automates Python/Java backend code reviews, identifying potential bugs, style issues, and security vulnerabilities for improved quality.

Automates accessibility audits against WCAG guidelines, identifying compliance issues and suggesting remediation steps for secure digital content.

Critically assesses code submissions from peers, identifying potential bugs, style issues, and areas for improvement.

Automates code review feedback parsing from nickcrew's style, flagging potential issues and suggesting improvements for testers.

This skill performs heuristic evaluations to identify usability issues in designs, offering valuable insights for improvement and user-centered development.

Optimizes website performance & accessibility by automatically identifying and fixing common frontend code issues.

This AI analyzes your backend code for potential bugs, style issues, and vulnerabilities, boosting code quality & security.

This Code Reviewer analyzes your backend code for potential bugs and style issues, boosting code quality and reducing errors.

This AI analyzes your backend code for common issues and style violations, boosting code quality and reducing bugs early on.

Ruvnet's agent-code-review-swarm automatically identifies bugs, security flaws, and style issues in code via collaborative AI review.

This skill audits your app’s readiness for the Apple App Store, ensuring compliance and minimizing potential rejection issues.

Automatically generates detailed bug reports and feature requests from project discussions and meeting transcripts.

Helps with planning, GitHub as part of software development workflows workflows.

Analyzes React code snippets, identifies potential issues, and suggests improvements for performance & maintainability.

Tanstack Devtools helps developers debug and inspect React applications in real-time, boosting efficiency and troubleshooting performance issues quickly.