Browse skills

Identifies and suggests fixes for common Django errors and debugging issues within your project code.

Quickly identifies and suggests fixes for errors in FastAPI applications using advanced code analysis.

Minitest generates concise, runnable tests for your code quickly, boosting confidence and accelerating development cycles.

Identifies common internationalization patterns in code to suggest improvements for global application development.

Generates clean, production-ready mobile app UI code (React Native/Flutter) from descriptions, optimizing for performance and user experience.

Silk-Debug analyzes application logs to pinpoint root causes of errors, accelerating troubleshooting and improving code quality.

Extracts sensitive data like API keys, passwords, and credentials from text and code repositories.

Helps with performance optimization, code review as part of agent workflows workflows.

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

Identifies and suggests fixes for common errors in PyTorch code, streamlining development and improving model performance.

Automatically refactors complex Java code into cleaner, more maintainable structures based on Dirnbauer's proven principles.

Restores refactored code's original context and dependencies for debugging and understanding complex changes.

This tool applies custom CheckStyle rules to your code, ensuring consistent style and preventing potential errors for improved readability and maintainability.

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

Analyzes code repositories for security vulnerabilities, coding style issues, and potential performance bottlenecks.

Analyzes Odoo Python code for style, errors, security vulnerabilities, and adherence to best practices.

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

Reviews pull requests for samzong projects, focusing on code quality, style, and adherence to project guidelines.

Repomix re-formats your code snippets into clean, well-structured Markdown for easy sharing and documentation – boosting readability & collaboration.

Automates Python code reviews focusing on style, security vulnerabilities, and potential performance bottlenecks using established best practices.

Analyzes code for potential bugs, security vulnerabilities, and maintainability issues, providing actionable improvement suggestions.

Audits and cleans up dependencies within a codebase, identifying outdated packages and potential vulnerabilities for improved security.

Helps with code generation, Terraform as part of deploying and managing cloud infrastructure workflows.

Automatically deploys your application code to a live production environment, streamlining releases and ensuring immediate availability for users.