Can I target specific files or directories?

Absolutely. You can provide a specific file path, a directory, or use the 'recent' keyword to target your most recently modified work.

Can I preview the changes before they are saved?

Yes, you can use the --dry-run flag to see a diff of the proposed changes without applying them to your source files.

Does this skill change the behavior of my code?

No, the Code Simplifier is designed to preserve the existing functionality of your code while purely focusing on improving its structure and readability.

What does the aggressive flag do?

The --aggressive flag allows the AI to perform more significant structural refactoring, such as extracting logic into new functions, rather than just minor syntax cleanup.

Code Simplifier

Name: Code Simplifier
Author: noin-ai

bynoin-ai

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Developer Tools

Simplifies complex source code to improve readability and maintainability without altering original functionality.

About

The Code Simplifier skill leverages the noin-ai:code-simplifier agent to reduce cognitive load and technical debt within your codebase. It intelligently flattens deeply nested logic, removes redundant code paths, and improves naming conventions to make scripts more accessible. Whether you are dealing with legacy 'spaghetti code' or just want to polish a recent feature, this skill provides a streamlined workflow for maintaining high-quality, readable software.

Key Features

Flatten deeply nested conditional statements
Streamline complex control flow and loops
1 GitHub stars
Identify and eliminate dead or redundant code
Improve variable and function naming for better clarity
Preview changes safely using the dry-run mode

Use Cases

Reducing cyclomatic complexity in large functions to meet quality standards
Cleaning up complex logic before submitting a pull request for peer review
Refactoring legacy codebases to make them easier for new developers to understand

About

Key Features

Flatten deeply nested conditional statements
Streamline complex control flow and loops
1 GitHub stars
Identify and eliminate dead or redundant code
Improve variable and function naming for better clarity
Preview changes safely using the dry-run mode

Use Cases

Reducing cyclomatic complexity in large functions to meet quality standards
Cleaning up complex logic before submitting a pull request for peer review
Refactoring legacy codebases to make them easier for new developers to understand