Browse skills

Refactors complex backend code into cleaner, more efficient modules based on established design patterns.

Refactors and cleans complex backend codebases, improving readability, maintainability, and performance according to rmyndharis's standards.

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

Automates git pre-commit checks like linting, formatting, and testing to ensure code quality before commits.

Automates Python code quality checks using Pylint, ensuring adherence to style guides and identifying potential errors.

This tool automatically verifies code changes against predefined rules before committing, preventing errors and ensuring consistent quality.

Structlog enables structured logging for your Python code, simplifying debugging and analysis by organizing log messages into a consistent format.

Provides code review guidance and assistance for software development workflows.

Arkts Syntax Assistant helps you quickly identify and correct code syntax errors, boosting developer productivity and reducing debugging time.

Automates complex Rust backend tasks like dependency management, code generation, and testing with expert-level optimization.

Software Clean Code Standard — provides AI agent assistance for software development workflows.

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

Analyzes Rust code to identify and resolve ownership and borrowing issues, ensuring memory safety and preventing data races.

Identifies and suggests improvements to Ruby code based on established design patterns and best practices.

Dynamically retrieves and validates application configuration from Kotlin code using Navikt's centralized config management system.

Generates Kotlin TDD unit tests from code descriptions, ensuring robust backend development with a focus on testability.

Reviews Elixir code against official documentation, identifying deviations and suggesting best practices from the docs.

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

Analyzes Elixir code for style, potential bugs, and performance bottlenecks, suggesting improvements based on best practices.

This skill assesses code model outputs for correctness and quality, ensuring generated code meets specified requirements effectively.

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

Automates code refactoring tasks like extracting methods, renaming variables, and improving readability in Python backends.

Automates tedious backend code refactoring tasks, improving maintainability and reducing technical debt based on defined rules.

This tool analyzes PySide6 code for potential issues and best practices, boosting developer efficiency and code quality.