improve-skill

To correct an AI skill after runtime errors, this tool analyzes execution issues, proposes precise modifications to skill files, and applies updates only after you review and approve the changes.

The best way to update documentation after an API endpoint changes is to use this skill to analyze the inconsistency, suggest corrections for the relevant files, and apply the approved updates automatically.

Yes, you can review proposed corrections before they are applied. The skill features an approval workflow that presents all suggested modifications to ensure you maintain control over skill updates.

Analyzing execution feedback improves workflow automation skills by identifying runtime inconsistencies, proposing precise corrections to the skill logic, and applying approved updates to ensure continuous accuracy.

No external dependencies are required to maintain and update your AI skills. The tool operates independently using its internal references and assets to analyze errors and apply approved corrections.

You should use an automated skill update process instead of manual editing when you need to systematically address runtime errors, ensure documentation accuracy, and maintain consistency across complex skill files.