aif-evolve

Automating skill improvements involves analyzing patches, project context, and codebase patterns to generate precise, testable updates. This process identifies gaps between base configurations and skill-context rules, proposing project-specific guardrails to prevent regressions.

Maintaining safety constraints while evolving skill behavior requires building project-specific rules from observed patterns and patches. The system establishes guardrails that ensure changes remain traceable to patches or conventions, preventing regressions during the evolution process.

Identifying gaps between base SKILL.md and skill-context rules is done by analyzing project context and codebase patterns. The system detects inconsistencies and proposes project-specific guardrails and rules to ensure changes remain traceable to patches or conventions.

Targeting a specific skill for evolution is supported alongside updating all installed skills. You can run the evolve command to update all installed skills or target a specific skill by name, enabling focused improvements based on observed patches and project context.

Recurring mistakes happen when skills lack project-specific context from patches. Patch analysis fixes them by automating ongoing improvement, building project-specific skill-context rules from observed patterns to reduce errors and enhance reliability while maintaining guardrails.

aif-evolve requires no external dependencies to generate testable improvements for skills. It operates independently to analyze patches, project context, and codebase patterns, producing project-specific guardrails and rules that maintain safety constraints without additional setup.