aif-evolve

Skill evolution analyzes project context, patches, and codebase patterns to automatically enhance existing AI skills, applying project-specific rules and guards to prevent recurring issues and improve future code generation.

AI skill self-improvement through codebase inspection is the process of analyzing project context, patches, and codebase patterns to enhance existing skills, applying project-specific rules and guards to prevent future issues and improve code generation accuracy.

You can apply project-specific rules and conventions by running a skill evolution process that inspects your codebase patterns and patches, automatically integrating your project's specific guards and rules into existing AI factory skills to prevent future issues.

Yes, you can evolve a specific AI skill by specifying the skill name when running the evolution process, or you can run it without arguments to analyze project context and apply project-specific rules across all installed skills simultaneously.

No, skill evolution for analyzing project context and codebase patterns requires no external dependencies, operating independently to apply project-specific rules and guards to enhance existing AI factory skills without needing additional environment setup.

You should use AI skill evolution when you want to make AI smarter for your project by analyzing past mistakes, tech-specific pitfalls, and project conventions, ensuring existing skills are enhanced to prevent future issues in your specific codebase.