using-superpowers

To ensure an AI agent checks for relevant skills before responding, you need a mandatory pre-check workflow that detects user tasks like coding or debugging and invokes applicable skills automatically. This enforces disciplined task-detection prior to generating any output.

Preemptive skill invocation is a workflow-discipline mechanism where the agent detects specific user-requested operations, such as writing or testing, and loads matching skill definitions before formulating a response. This prevents the agent from overlooking applicable process guidelines.

Orchestrate priority between process and implementation skills by applying defined priority rules and red-flag guidelines within the skill-orchestration flow. This steers the agent toward correct behavior by evaluating process skills against implementation skills before executing the user's specific task.

Yes, you need the get_skills tool to load skill definitions for auto-invocation. The workflow requires this tool to fetch applicable skills and enforce the mandatory pre-check before the agent responds to any coding, analyzing, or designing request.

A limitation of automated task detection for skill selection is that without strict workflow-discipline, agents might bypass the mandatory pre-check. Red-flag guidelines and defined flowcharts are required to prevent the agent from overlooking applicable skills and generating unsafe or inconsistent responses.