Refactors complex Go codebases using automated metrics and standardized protocols to reduce technical debt.
This skill provides a rigorous, metric-driven framework for refactoring Go applications, specifically targeting high-complexity 'hotspots' in CLI tools, services, and Model Context Protocol (MCP) integrations. It leverages automated cyclomatic complexity analysis to identify problematic code, then applies BAIME-aligned patterns and TDD workflows to restructure it. By enforcing strict validation rules—such as a 30% minimum complexity reduction and high test coverage—it ensures that code improvements are measurable, safe, and aligned with architectural best practices.
Key Features
01Automated cyclomatic complexity analysis and hotspot detection
02Automated metrics snapshots and validation reporting
03Incremental commit protocols for granular, reversible changes
04Integrated safety checklists and TDD-based refactoring workflows
05BAIME-aligned refactoring protocols for Go services and MCP tools
0615 GitHub stars
Use Cases
01Improving test coverage while decoupling monolithic Go CLI components
02Reducing cyclomatic complexity in legacy Go service functions
03Standardizing the architecture of Model Context Protocol (MCP) servers
