Generates a structured Markdown discovery questionnaire designed to extract specific missing information from a designated recipient. It creates a file that bridges the gap between the user's decision needs and the recipient's expertise.
Say it in your own words; the assistant finds this recipe by itself. Examples:
Use this when the user needs to make a decision but lacks specific knowledge held by another person. It is ideal for creating a structured request for information to be answered asynchronously or in a meeting. The user should be able to define who holds the knowledge and what specific facts are needed.
Turn something the user can't answer alone into a questionnaire: a Markdown document they hand to one person to fill in async, or fill out together over a meeting. The recipient holds knowledge the user lacks; the questionnaire pulls it out of them.
Grill the send, not the subject. Interview the user only about the send, which they can always answer: who it goes to, and what they need back. The questions in the document then target the gap between what the recipient knows and what the user needs.
Who is it going to? Ask, in one exchange, the recipient's role, expertise, and relationship to the user. This fixes the questionnaire's tone and how much context it must carry. Done when you know who the recipient is and what they know that the user doesn't.
What do you need back? Ask, in one exchange, the specific decisions or facts the user can't resolve alone and needs from this person. Done when you have a concrete list of what the user must walk away able to do or decide.
Write the questionnaire. Draft questions aimed at the gap from steps 1–2, following the Document structure below. Write it to to-questionnaire-<slug>.md in the current directory (slug from the topic) and report the path. Done when the file exists and every item the user named in step 2 is covered by a question.
Frame the document as a discovery questionnaire: the user lacks context, the recipient holds it. Order questions most-important-first, since async means you may only get one pass, and group them under ## headings by theme once there are more than a handful. Write it using the template below.
Purpose: why this questionnaire exists and the decision riding on it.
From:
One paragraph orienting a recipient who wasn't in the user's head. Enough to answer well, not a page.
Deadline and rough effort. Partial answers and "I don't know" are useful: flag anything you're unsure of rather than skipping it.
One ## section per theme. Under each, its questions, most-important-first. Every question is one idea, never compound, with an answer stub directly beneath, and a one-line why this matters only where the question could be misread or invite a throwaway answer.
Why this matters: it decides whether we provision for burst traffic now or defer it.
A closing catch-all: anything we didn't ask that we should know?
LICENSESKILL.mdagents/openai.yamlVendored from mattpocock/skills, commit 5beb35b040e3, path skills/productivity/to-questionnaire, licence MIT. The upstream licence file ships inside the skill.