superpowers

To enforce automatic skill discovery before an AI agent responds, use a strict skill-selection protocol that scans user input and activates applicable process or implementation skills before generating any output.

Proactive workflow enforcement for AI agents is a mechanism that guarantees predefined processes, such as debugging or brainstorming protocols, are automatically activated and followed prior to generating a general response.

To ensure consistent AI behavior across all task initiations, apply a strict skill-selection protocol at every conversational turn to prioritize relevant process and implementation skills before taking action.

Automatic skill discovery does not require manual activation, as the protocol proactively scans task context to identify and apply relevant skills automatically before the AI generates a response.

An AI agent skips workflow steps when responding to tasks if it lacks an enforced skill-selection protocol to halt general responses and prioritize discovering applicable process skills first.

You can prioritize implementation skills over general conversational responses by applying a strict skill-selection protocol that automatically discovers and enforces relevant process skills before any AI action.