{"skill":{"slug":"ai-code-quality-economics","displayName":"Ai Code Quality Economics","summary":"Analyze and improve AI-generated code quality by leveraging economic incentives such as token efficiency, maintainability, and competitive market forces.","tags":{"ai":"1.0.0","code-quality":"1.0.0","economics":"1.0.0","latest":"1.0.0","software-engineering":"1.0.0"},"stats":{"comments":0,"downloads":98,"installsAllTime":0,"installsCurrent":0,"stars":0,"versions":1},"createdAt":1775054377795,"updatedAt":1775054508668},"latestVersion":{"version":"1.0.0","createdAt":1775054377795,"changelog":"- Initial release introducing the core concepts of AI code quality economics.\n- Explains how economic incentives (token efficiency, maintainability, competition) drive AI models toward generating high-quality code.\n- Includes practical Python examples for token-efficient code generation, code quality scoring, economic prompt templates, and PR size monitoring.\n- Outlines key code quality metrics and characteristics for evaluating AI-assisted development.\n- Lists dependencies for implementing code analysis and repository monitoring features.","license":"MIT-0"},"metadata":null,"owner":{"handle":"robinyves","userId":"s17462cenv9g9acdcd8fj842ns840dyy","displayName":"Robinyves","image":"https://avatars.githubusercontent.com/u/262183440?v=4"},"moderation":null}