ai-registry-integration

You can update the AI registry by running the integration workflow, which coordinates content changes across skills, commands, and profiles. It enforces repository rules and validates changes before regenerating outputs to maintain the registry as the single source of truth.

The best way to manage harness overrides and vendored skills is through a centralized integration workflow that enforces repository rules and uses canonical path tokens. This validates modifications before applying them, ensuring consistent registry updates.

Registry validation works by enforcing repository rules and checking canonical path tokens before regenerating outputs. The integration process validates all content changes across skills and harness configurations to ensure only safe, consistent updates trigger the build pipeline.

Yes, you can modify profiles and commands by running the integration workflow. This workflow guides teams through safe, consistent changes aligned with repository structure, ensuring all additions or modifications are properly validated before the generation pipeline runs.

Using a centralized workflow for AI registry management ensures the registry remains the canonical source of truth. It coordinates updates across skills, commands, and harness configurations while enforcing repository rules and validating changes to prevent inconsistent build outputs.