Browse skills

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

Generates Java JUnit tests from code snippets to ensure functionality and identify potential errors quickly.

This skill automatically verifies code changes for potential errors and inconsistencies, ensuring higher quality and faster development cycles.

Analyzes Microsoft Python code for style, errors, and adherence to best practices, improving maintainability.

Automates initial code review checks in pull requests, identifying potential errors and style inconsistencies before human review.

WP PHPStan analyzes WordPress code for potential errors and style issues, boosting code quality and preventing bugs.

Wp Phpstan analyzes WordPress code for potential errors and style issues, boosting code quality and preventing bugs during development.

Provides Dart guidance and assistance for software development workflows.

Automatically identifies and prioritizes JavaScript errors impacting backend services within Sentry's event data.

Enforces Python type hints during code generation, reducing errors and improving backend reliability.

Handles Python script errors gracefully, automatically retries failed tasks, and logs detailed recovery information.

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

M06 Error Handling intelligently manages and logs backend errors for improved system stability and debugging efficiency.

This Django Verification skill securely validates user inputs against predefined rules, safeguarding your application from malicious data and errors.

Automatically generates unit tests for your service layer code, ensuring reliability and catching potential errors quickly.

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

Analyzes and validates frontend code against best practices, style guides, and potential errors using davila7's custom linting rules.

Analyzes Python code for style, errors, and potential improvements using industry best practices and linters.

Identifies potential code errors and style issues in various programming languages using cxuu's go-linting tool.

Gracefully catches, logs, and resolves backend errors, providing actionable insights to developers via cxuu's go-error-handling.

This skill tracks dependencies between tasks, ensuring smooth workflows and preventing errors by visualizing relationships within projects.

The Dependency Auditor analyzes code to identify and flag potential issues related to dependencies, ensuring project stability and preventing unexpected errors.

Analyzes Clojure code for style, potential errors, and best practices, suggesting improvements aligned with Metabase standards.

Analyzes WooCommerce plugin/theme code for errors, security vulnerabilities, and adherence to coding standards.