using-superpowers

To enforce tool use in an AI agent workflow, you need a protocol that mandates skill invocation before any response is generated. This prevents unassisted actions by requiring the agent to check for applicable skills first, ensuring a structured, tool-augmented workflow.

An LLM agent bypasses tools and answers directly due to rationalization tactics where it assumes a skill does not apply. You can prevent this by applying a strict interpretation of the "1% chance" rule, forcing the agent to invoke relevant skills even with low probability of applicability.

The "1% chance" rule for AI agent skill invocation is a strict protocol requiring the agent to trigger a relevant skill if there is even a 1% chance it applies to the user's task. It prevents the agent from rationalizing its way out of using available tools.

To stop an AI agent from asking clarifying questions before using a skill, enforce a mandatory skill invocation process. The agent must first invoke the relevant skill to gather information or perform an action rather than answering directly or asking for clarification prematurely.

Yes, you can apply mandatory skill invocation across all conversational turns in an LLM workflow. The enforcement applies to every task execution where a skill might be applicable, ensuring consistent adherence to tool-use protocols throughout the entire interaction.

The limitation of enforcing mandatory skill invocation is the strict interpretation required to avoid rationalization. The AI must resist "red flag" thoughts that justify skipping tools, which requires continuous enforcement across all conversational turns to maintain the structured workflow without exception.