Can this skill identify hidden side effects?

Yes, it specifically scans for modifications to global state, database writes, or I/O operations that are buried within logic and suggests making them explicit.

What is the maximum recommended number of parameters?

This skill follows industry standards like Clean Code, recommending a limit of 0-3 parameters and suggesting Parameter Objects for more complex data needs.

Is this skill specific to a particular programming language?

No, it applies universal software engineering principles from SWEBOK and Clean Code that are applicable to all modern programming languages.

How does this skill improve unit testing?

By enforcing pure functions and minimal external dependencies, it ensures logic can be tested in isolation without the need for complex mocks or fixtures.

Function Design Principles

Name: Function Design Principles
Author: sethdford

bysethdford

•

Developer Tools

Refines code logic by enforcing pure function patterns, single-responsibility principles, and high-cohesion design.

This skill provides Claude with standards-grounded guidance for designing and refactoring functions based on Clean Code, SWEBOK, and functional programming patterns. It helps engineers minimize side effects, reduce parameter complexity, and ensure every function serves a singular, testable purpose. By applying these principles during the development process, the skill mitigates common architectural anti-patterns like hidden state dependencies and 'god functions,' resulting in a more maintainable, modular, and deterministic codebase.

Key Features

01Parameter complexity reduction and object extraction recommendations

02Function purity verification for deterministic logic

03Anti-pattern detection for hidden global state dependencies

04Side-effect identification and explicit documentation guidance

05Cohesion measurement to prevent multi-purpose function bloat

065 GitHub stars

Use Cases

01Refactoring legacy spaghetti code into modular, testable units

02Automated code review assistance to flag excessive parameters or side effects

03Designing new backend logic following functional programming best practices

Key Features

01Parameter complexity reduction and object extraction recommendations

02Function purity verification for deterministic logic

03Anti-pattern detection for hidden global state dependencies

04Side-effect identification and explicit documentation guidance

05Cohesion measurement to prevent multi-purpose function bloat

065 GitHub stars

Use Cases

01Refactoring legacy spaghetti code into modular, testable units

02Automated code review assistance to flag excessive parameters or side effects

03Designing new backend logic following functional programming best practices