automated-refactoring-with-pmat by paiml
Provides automated refactoring suggestions and complexity reduction strategies using PMAT(Pragmatic AI Labs MCP Agent Toolkit). Use this skill when:- User requests code refactoring, optimization, or improvement- Complexity analysis reveals high-complexity functions (cyclomatic > 10)- Code review identifies maintainability issues- Technical debt needs to be addressed systematically- Preparing legacy code for modernizationSupports 25+ languages with data-driven refactoring recommendations based on complexity metrics,mutation testing results, and industry best practices (Fowler's refactoring catalog).
Why Use This
This skill provides specialized capabilities for paiml's codebase.
Use Cases
- Developing new features in the paiml repository
- Refactoring existing code to follow paiml standards
- Understanding and working with paiml's codebase structure
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