Collect missing or ambiguous user input using a built-in ask tool.
npx skills add https://github.com/ngmthaq/my-copilot --skill ask-user-ngmthaq
Please help me install this Agent Skill. Skill: ask-user Source: https://github.com/ngmthaq/my-copilot/tree/main/skills/ask-user Command: npx skills add https://github.com/ngmthaq/my-copilot --skill ask-user-ngmthaq
Collect missing or ambiguous user input in a deterministic, tool-first way to unblock decisions in automated workflows.
Provide missing input by prompting the user with the built-in ask tool and allow for freeform responses when needed.
High-intent search queries and answers about installing and using this skill.
To prompt for missing user input and unblock automated workflows, use a built-in ask tool to gather the required data deterministically at interactive decision points. This tool-first approach ensures decisions proceed smoothly without guessing.
The best way to collect ambiguous user input in automated agents is by applying a tool-first mechanism that uses native prompt tools. It always keeps an open free-form option to capture exact answers or new ideas before proceeding.
Handle interactive decision points in form-based tasks by identifying missing values and applying a native ask tool to request them. If no tool is available, fall back to a structured plain-text prompt to guide the user.
Yes, you can use structured plain-text prompts to collect missing data if no built-in ask tool is available. This fallback mechanism guides the user effectively, ensuring workflows continue even without native interactive tools.
No, you should never close off freeform user input during automated surveys. Always keeping an open-ended last option ensures you capture the right answer or new ideas, preventing data collection from blocking valid responses.
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