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mattpocock/to-questionnaire

mattpocock

to-questionnaire

Turn a decision you can't fully answer into a questionnaire for someone else to fill in.

v1.0Latest
New~707Updated Aug 6, 2026

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.

  1. 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.

  2. 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.

  3. 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.

Document structure

Frame the document as a discovery questionnaire: the user lacks context, the recipient holds it. Order questions most-important-first — 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:To:How your answers will be used:

Context

One paragraph orienting a recipient who wasn't in the user's head. Enough to answer well, not a page.

How to answer

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.

Anything else?

A closing catch-all: anything we didn't ask that we should know?

Files2
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Overall Score

88/100

Grade

A

Excellent

Safety

95

Quality

85

Clarity

88

Completeness

82

Summary

This skill guides an agent to transform a user's knowledge gap into a structured questionnaire document. It interviews the user about the recipient's role and the specific information needed, then drafts a Markdown questionnaire file targeting those gaps using a discovery-focused template.

Detected Capabilities

file writeinteractive conversationmarkdown generationuser input collection

Trigger Keywords

Phrases that MCP clients use to match this skill to user intent.

turn into questionnairewrite discovery questionsextract stakeholder knowledgeinterview form templatequestionnaire for meeting

Use Cases

  • Gather architectural decisions from a CTO before designing a system
  • Collect compliance and security requirements from legal before building a product feature
  • Extract domain expertise from domain experts before starting analysis or planning
  • Prepare a discovery questionnaire for a stakeholder interview meeting
  • Document prerequisites needed from another team before starting a project phase

Quality Notes

  • Clear three-step workflow that mirrors the conversational pattern (who, what, write)
  • Practical document template with explicit sections (Purpose, Context, How to answer, themed questions, catch-all)
  • Concrete guidance on question design: one idea per question, most-important-first ordering, inline 'why this matters' explanations
  • Excellent pedagogical framing: 'grill the send, not the subject' and 'async means you may only get one pass' provide actionable context for question prioritization
  • File naming convention specified (`to-questionnaire-<slug>.md`) gives agent clear output artifact
  • Template example shows correct structure for a question with answer stub and justification
  • No security or credential access concerns — skill is purely conversational and document-generation
  • Well-scoped scope: tool invocation disabled by default, output constrained to current directory, no external calls or side effects
Model: claude-haiku-4-5-20251001Analyzed: Aug 6, 2026

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