ask-user

The ask-user skill facilitates structured user input for AI workflows by collecting data through predefined questions, multiple-choice options, and freeform responses, enabling explicit decision-making and validation steps without interrupting the overall process.

Structured user input in AI interaction is a method of collecting data through predefined questions, multiple-choice options, and freeform responses to support explicit decision-making and validation steps within automated workflows.

You need decision gates for ambiguous requirements when handling high-impact scenarios like architectural trade-offs or user preferences, ensuring explicit user interaction and input validation before the AI agent proceeds with certainty.

You collect multiple-choice responses by defining a question with labeled options, such as `ask_user(question: "Do you want to proceed?", options: [{label: "Yes", value: "yes"}, {label: "No", value: "no"}])`, to capture explicit user decisions.

Yes, structured user input is ideal for architectural trade-offs and user preferences, providing a clear interface for user confirmation and feedback so agents can proceed with certainty based on validated data.

Yes, user input validation requires explicit user interaction, ensuring that high-impact or ambiguous decisions are confirmed by the user before the AI workflow proceeds with the next steps.