Browse skills

Debugs Xcode projects using advanced AI analysis, identifying and suggesting fixes for complex coding errors.

Automatically instruments code, identifies bugs via runtime analysis, and generates debugging suggestions based on observed behavior.

Automatically identifies and fixes layout issues in UI code using AI, streamlining testing workflows for developers.

Debug deep links within mobile apps, identifying errors and suggesting fixes for seamless user navigation.

This debugging assistant analyzes code, identifies errors, suggests fixes, and explains reasoning for faster testing cycles.

Quickly identify and suggest fixes for code errors using detailed analysis and targeted debugging strategies.

Quickly identifies and suggests fixes for code errors using advanced analysis and debugging techniques.

Systematically identifies and resolves code errors using structured debugging techniques and comprehensive error analysis.

Helps with building, debugging as part of testing, debugging, and quality assurance workflows.

Identifies and resolves memory corruption issues within Axiom codebases using advanced AI analysis and debugging techniques.

Identifies and suggests fixes for errors in hytopia game code, improving stability and functionality through automated analysis.

Automatically identifies and fixes code errors, bugs, and style violations based on expert linting rules.

Refactors complex Python/Django backend code for improved readability, maintainability, and performance based on best practices.

Automates modernization of outdated backend codebases, improving readability, maintainability, and performance while preserving functionality.

Refactors plugin agent code to improve efficiency, maintainability, and compatibility within the marketplace ecosystem.

Automates Python code refactoring tasks like renaming variables and extracting functions to improve readability and maintainability.

Automatically improves DBT model code quality, performance, and maintainability using AI-powered refactoring suggestions.

Refactors Python/Java backend code to improve efficiency, readability, and maintainability, prioritizing inclusive language and accessibility.

Safely refactors backend code, minimizing risk of regressions and improving maintainability through automated testing and validation.

Refactors complex backend code into modular, testable components using advanced algorithmic optimization techniques.

Refactors Python/JavaScript backend code for improved readability, efficiency, and adherence to best practices.

Analyzes Python code for common vulnerabilities like injection flaws and insecure dependencies using static analysis.

Refactors complex backend codebases into cleaner, more efficient structures using proven architectural patterns and best practices.

Automatically refactors Python code for improved readability, performance, and adherence to phodal's style guidelines.