Browse skills

Automates backend code improvements – simplifying logic, enhancing readability, and optimizing performance based on best practices.

Applies proven software engineering & agile principles to guide agent design, development, and iterative improvement.

Supercent-io's agent-evaluation assesses agent performance against defined metrics, providing actionable insights for improvement.

This skill automatically tests your trading strategy on historical data to assess its performance and identify potential improvements for better results.

The Bullmq Specialist analyzes code for potential vulnerabilities and suggests improvements, boosting software security and reliability.

Automates Python/Java backend code reviews, identifying potential bugs, style issues, and suggesting improvements based on best practices.

Identifies potential dbt transformation code improvements and common pitfalls based on established best practices.

Davila7's peer-review analyzes text for clarity, logic, and potential improvements based on established academic standards.

Safaiyeh's app-store-review analyzes user reviews to identify key feature requests, sentiment, and potential areas for improvement.

Analyzes web framework code (React, Angular, Vue, etc.) to identify patterns, vulnerabilities, and potential improvements.

Automates GitLab code review tasks, identifying potential bugs, style violations, and suggesting improvements based on defined rules.

Analyzes user feedback, conducts lightweight UX research, and suggests design improvements based on data insights.

Analyzes pull requests, identifies potential issues, suggests improvements, and ensures code quality for enhanced collaboration.

This skill automatically upgrades your Rails application’s dependencies to the latest versions, ensuring security and performance improvements.

Analyzes code reviews from SRBHR, identifying potential bugs, style issues, and areas for improvement based on established guidelines.

This tool analyzes architectural designs for potential issues and improvements, boosting project quality & efficiency through expert feedback.

Analyzes backend code for bugs, security vulnerabilities, and style inconsistencies, suggesting improvements based on best practices.

Analyzes user feedback to identify key themes and sentiment, offering valuable insights for product improvement and customer understanding.

Automates code review focusing on specification adherence, identifying deviations and suggesting improvements based on provided specs.

Analyzes user behavior & interfaces using psychological principles to suggest UX improvements and increase engagement.

Analyzes software usability, identifies UX pain points, and suggests improvements based on research best practices.

Automates SSH code review tasks, identifying security vulnerabilities and suggesting improvements for secure remote access.

Analyzes project data to identify risks, bottlenecks, and potential improvements for enhanced efficiency and successful outcomes.

The Pattern Critic analyzes text for stylistic inconsistencies and suggests improvements to maintain a unified voice and tone, boosting clarity & brand consistency.