Present 2-4 user options and wait for selection before proceeding.
npx skills add https://github.com/GYF0311/lorekit --skill ask-user-gyf0311
Please help me install this Agent Skill. Skill: ask-user Source: https://github.com/GYF0311/lorekit/tree/main/brain/skills/ask-user Command: npx skills add https://github.com/GYF0311/lorekit --skill ask-user-gyf0311
It prevents an AI agent from making ambiguous or risky decisions without the user explicitly choosing an option.
Ask the user a single routing or safety-related question using 2-4 numbered options plus a Skip/Cancel escape hatch, then wait for their response before taking any further action.
High-intent search queries and answers about installing and using this skill.
Add human-in-the-loop confirmation by presenting 2-4 explicit options with an escape hatch, then force the agent to stop and wait for user selection before branching. This prevents risky decisions without explicit user input.
Use a choice gate for routing decisions when ambiguous interpretations or risk-requiring operations occur, ensuring wrong defaults would waste work or harm outcomes. Present clear options and wait for explicit user confirmation before proceeding.
Yes, you can implement interactive UX choices across messaging platforms using platform-agnostic patterns. This works with buttons, chat text, and agents with a dedicated clarify tool to present options and capture user responses.
Stop an AI agent from taking action by applying strict turn-stopping control immediately after presenting choices. The agent must wait for the user to respond via button, numbered, or text input before executing branching logic.
Handle ambiguous interpretations by presenting 2-4 clear options with a Skip or Cancel escape hatch. This allows the user to explicitly choose the next action, preventing the agent from making risky decisions without explicit user input.
No, a dedicated clarify tool is not required. Interactive UX choices can be implemented using platform-agnostic patterns that work with messaging platform buttons, standard chat text, or a dedicated clarify tool.
OutlineDrivenConvert human-in-the-loop workflows into autonomous LLM loops with structured logs.
onelee85Route natural language input to the matching GSD command with user confirmation.
gluestackOptimize Gluestack UI v4 component rendering across native and web platforms.
beyonaiGate agent execution until a user selects from 2-4 choices.
