Browse skills

Provides clear, actionable feedback on code comments, ensuring clarity, conciseness, and adherence to best practices.

Analyzes historical Python codebases to predict future maintenance needs and suggest proactive refactoring strategies.

Generates, debugs, and explains TypeScript code for robust backend applications based on your specifications.

Generates robust, type-safe TypeScript code leveraging advanced types, generics, and utility types for complex backend logic.

Generates clean, modern CSS code snippets based on descriptions, leveraging current best practices and design trends.

Compile Rust code to WebAssembly for efficient serverless functions and backend logic within your plugin environment.

Analyzes C# code for potential bugs, style issues, and performance improvements using best practices.

This skill enables dynamic Ruby code generation and modification at runtime, boosting flexibility and customization for advanced applications.

Ruby Cli generates Ruby code snippets from natural language prompts, accelerating development and simplifying complex tasks.

Generates Swift code snippets for UI elements, data models, and basic functionality in iOS applications.

Helps with Angular, code review as part of building frontend UIs and user experiences workflows.

Solid Queue Coder generates optimized code for managing queues, improving performance and reliability in your applications.

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.