dart-skills-lint-validation

The dart skills lint validation tool addresses this by running comprehensive checks against skill directories to identify configuration errors, invalid paths, or deprecated patterns. It ensures all metadata and internal structures comply with repository standards before deployment.

You can lint skill directories by running the dart skills lint validation tool in the current directory. It applies diagnostic checks via the dart_skills_lint package to identify configuration errors, invalid file paths, and deprecated patterns within your skill repositories.

Yes, you can extend the validation framework by writing custom Dart rules to enforce project-specific quality standards. This allows you to apply automated fixes and validate skill metadata beyond the default diagnostic checks provided by the framework.

Yes, the dart_skills_lint package is required as a dependency to execute diagnostic checks. The validation skill relies on this framework to apply automated fixes and validate the integrity of AI agent skill units.

The best way to maintain consistency across a library of AI agent skills is to automate the validation of configuration files and rule compliance. Running lint checks ensures reliability and identifies deprecated patterns before skill deployment.

Skill validation fails after updates because the automated linting checks identified configuration errors, invalid paths, or deprecated patterns in the new metadata. You must run the validation tool to apply automated fixes and restore compliance with repository standards.