using-superpowers

To ensure an AI agent invokes skills before responding, you need a workflow enforcement mechanism that mandates checking for and executing relevant skills prior to generating any direct response. This structured decision-making prioritizes skill utilization over unassisted actions.

An AI agent answers directly without checking for applicable skills because it lacks mandatory skill invocation logic. Without enforcing the Skill tool for task execution, the agent defaults to unassisted response generation instead of structured skill discovery.

Mandatory skill invocation in AI agent workflow decision making is a process that enforces the use of the Skill tool for any task with potential skill application. It governs skill discovery and execution, requiring agents to find relevant skills before answering, even with low probability matches.

You need to enforce skill discovery before task execution whenever a user asks a question or requests an action that could potentially be addressed by a skill. This includes scenarios where a skill might apply with low probability, ensuring structured problem-solving over direct generation.

Yes, you can use mandatory skill invocation for clarifying questions and low-probability matches. The enforcement mechanism requires agents to invoke the Skill tool if there is any chance a skill might apply to the user's request, preventing unassisted actions entirely.

Enforcing skill discovery prioritizes structured problem-solving over immediate response generation. While it adds a skill checking step before answering, it prevents unassisted actions by ensuring the AI agent utilizes relevant skills, leading to more accurate and structured outputs.