upgrade

The upgrade skill keeps your AI knowledge base current by consulting the Ars Contexta research graph for methodology improvements after a plugin update. It proposes skill enhancements with research justifications and risk assessments, ensuring your cognitive architecture remains optimal without auto-implementing changes.

No, you cannot automatically apply skill upgrades to your existing generated system. The upgrade skill never auto-implements changes; it triggers on specific user commands, evaluates the plugin's bundled knowledge base, and proposes enhancements with side-by-side comparisons for selective application.

Skill obsolescence occurs when your AI's operational skills become outdated relative to new research and best practices. You need to check for methodology improvements after plugin updates by running the upgrade command to compare current skills against the Ars Contexta research graph.

Yes, the upgrade skill requires access to the plugin's bundled knowledge base to propose enhancements. It evaluates your existing generated system by consulting the Ars Contexta research graph for methodology improvements, generating detailed upgrade plans with research justifications and risk assessments.

The best way to compare user-modified skills against new research findings is to run the upgrade skill. It consults the Ars Contexta research graph for methodology improvements and presents side-by-side comparisons, allowing you to evaluate proposed enhancements before selectively applying them.

The upgrade skill proposes enhancements instead of directly modifying your generated system to prevent unintended changes to user-modified skills. It triggers on specific user commands, evaluates the plugin knowledge base, and generates a detailed plan with research justifications and risk assessments for selective application.