Can this skill help with manual code reviews?

Yes, it provides specific triggers for code reviews and a comprehensive checklist to help Claude evaluate and improve code consistency and quality.

How does it improve error handling?

It implements a 'fail fast' philosophy and encourages the use of custom error classes and structured logging to make debugging and error recovery more efficient.

What is the PACT methodology?

PACT is a structured prompt-driven approach to software development; this skill specifically addresses the 'Code' phase to ensure high-quality architectural output.

Does it support multiple programming languages?

While the reference examples use JavaScript, the core principles like SOLID, DRY, and naming conventions are universal and applicable to most modern programming languages.

PACT Coding Standards

Name: PACT Coding Standards
Author: ProfSynapse

byProfSynapse

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开发者工具

Enforces clean code principles and standardized development patterns to ensure maintainable, high-quality software during the PACT development phase.

关于

The PACT Coding Standards skill provides a comprehensive framework for Claude to implement best-in-class software architecture. It focuses on core principles like SOLID, DRY, and KISS, while providing specific guidance on naming conventions, structured logging, and robust error handling. By using this skill, developers can ensure their code is consistent, defensive, and production-ready, making it an essential tool for refactoring, feature implementation, and automated code quality reviews.

主要功能

Comprehensive code quality checklist for final reviews
Defensive programming and robust error handling patterns
Implementation of SOLID, DRY, and KISS clean code principles
Structured logging guidelines for better observability
Standardized naming conventions for functions, variables, and classes
36 GitHub stars

使用场景

Refactoring legacy code into modular and maintainable structures
Automating code reviews to identify architectural smells and anti-patterns
Establishing consistent coding standards across a multi-developer project

关于

主要功能

Comprehensive code quality checklist for final reviews
Defensive programming and robust error handling patterns
Implementation of SOLID, DRY, and KISS clean code principles
Structured logging guidelines for better observability
Standardized naming conventions for functions, variables, and classes
36 GitHub stars

使用场景

Refactoring legacy code into modular and maintainable structures
Automating code reviews to identify architectural smells and anti-patterns
Establishing consistent coding standards across a multi-developer project