Backend & APIs Skills

This skill generates Laravel code snippets directly within prompts for rapid development and efficient prototyping based on user requests.

This skill executes Laravel Artisan commands from your prompts, streamlining development and automating tasks for efficient backend workflows.

This skill automates Laravel application upgrades, streamlining the process and minimizing potential issues for faster deployments.

This skill guides you in leveraging Laravel's powerful features for efficient backend development and application building.

Generate targeted debugging prompts for Laravel applications based on error messages and code context.

Automates Laravel code review requests based on commit messages and project configuration, streamlining feedback loops.

Laravel Dusk automates browser interactions for testing your Laravel applications, streamlining regression tests and ensuring consistent behavior.

Safely stores Laravel environment variables in a secure file format using jpcaparas's configuration management tool.

Automates Laravel code refactoring tasks like extracting methods, improving readability, and adhering to best practices.

This skill generates Laravel controller test files to ensure your code functions correctly and maintain application stability.

Automates Laravel i18n tasks like file generation, translation management, and language file synchronization for efficient localization.

Laravel Horizon: Metrics & Dashboards provides insightful backend performance monitoring through interactive dashboards, streamlining development and troubleshooting.

Helps with backend development, guidelines as part of developing backend services and APIs workflows.

Manages server-side logic, data access, and API interactions for cartridge-gg's AI agents, ensuring reliable operation.

Enables secure, efficient communication between agents via gRPC services, facilitating complex backend workflows.

Analyzes backend code changes using differential review, identifying potential performance regressions and optimization opportunities.

Identifies common backend code errors, style inconsistencies, and potential performance bottlenecks in Python/Java/Node.js.

Automates backend code reviews, identifying potential bugs, security vulnerabilities, and style inconsistencies using carvalab's AI models.

Helps with AI, code review as part of developing backend services and APIs workflows.

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

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

Helps with AI, code review as part of developing backend services and APIs workflows.

Analyzes large codebases for potential bugs, performance bottlenecks, and adherence to backend coding standards.

Identifies and mitigates common error patterns in ovachiever backend systems to improve stability and resilience.