using-superpowers

Pre-response skill invocation ensures AI checks and triggers relevant skills before generating any user-facing action. This approach applies at the conversation start to determine applicability for tasks like brainstorming, debugging, or information retrieval, reducing missteps.

Conversational guardrails are mandatory rules that enforce pre-action skill invocation and document execution flow. They require frontmatter with name and description to guide planning, clarification, and execution, ensuring the AI uses available capabilities correctly.

Setting up mandatory frontmatter involves defining the skill name and description to enforce pre-action invocation. This structure provides clear guidance on when and how to use skills for planning and execution, establishing guardrails for the AI workflow.

Your AI skips relevant skills because pre-response skill detection is not implemented. Applying pre-response invocation at the start of any conversation determines applicability for tasks like brainstorming or debugging, ensuring appropriate skills are invoked before answering.

Yes, you can use pre-response skill checks for information retrieval tasks. The mechanism determines and invokes relevant skills before any user-facing action, ensuring the AI gathers data appropriately using available capabilities before producing a response.

The best way to structure AI workflow clarifying questions is using pre-response skill invocation. This approach applies at the conversation start to determine relevant skills for tasks requiring clarification, enforcing mandatory frontmatter and guardrails to guide execution.