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To ensure an AI agent checks for applicable skills before generating a response, establish a mandatory skill invocation protocol at the start of every conversation using the Skill tool. This enforces loading relevant skills via frontmatter metadata before any replies.

Skill governance in AI agent conversations is a workflow protocol that mandates the assistant to determine and apply relevant skills before replying. It uses frontmatter metadata for discovery and enforces consistent behavior across all conversation starters and task types.

To load skills using frontmatter metadata at the start of a conversation, invoke the Skill tool immediately as the conversation begins. This framework checks for applicable skills and dictates priority and safety rules before generating any output.

Yes, mandatory skill invocation works for debugging and planning task types. The protocol applies across all conversation starters where skills may influence outcomes, including initial clarifications, execution prompts, and debugging tasks.

You should not use automatic skill discovery when no frontmatter metadata is available for your skills. This governance protocol relies entirely on frontmatter-driven discovery to determine applicability and enforce follow-through before generating responses.

Yes, you can enforce consistent skill loading behavior across different platforms and contexts. The governance protocol provides a standardized framework that supports consistent behavior from initial clarifications to execution prompts.