rules-distill

To maintain consistency across multiple installed skills, you can extract cross-cutting principles and distill them into actionable rules. This ensures uniform application of core principles across complex systems with interacting skills.

The best way to generate rules from cross-cutting principles is to run an inventory and analysis of installed skills. This process automatically creates, revises, or appends rule files to enforce compliance across your system.

Cross-cutting principle extraction works by scanning multiple installed skills to identify common principles, then generating or revising rules based on those principles to maintain uniform compliance throughout the system.

Yes, you need Python scripts to perform the inventory and analysis required to distill rules. These scripts scan your installed skills to extract principles and generate the corresponding compliance rules.

You should distill cross-cutting principles into rules when managing a complex system with multiple interacting skills. This approach ensures similar principles are applied uniformly across different skills, improving overall system behavior.

Yes, you can automatically append rules to existing skills for compliance. The rule generation process creates, revises, or appends rule files based on the extracted cross-cutting principles identified during skill inventory.