Intro in this page language first. The official description stays in its original wording; we do not rewrite SKILL.md.
What it does
Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
When to use it
The official description does not include a separate “Use when”. Per the spec, agents activate this skill when the task matches keywords in that description.
How agents load it
Per Agent Skills progressive disclosure: name and description load at startup (~100 tokens); the full SKILL.md body loads when the skill activates; scripts/, references/, and assets/ load only as needed. This file's sections: Document structure; <Questionnaire title>; Context; How to answer; <Theme heading>; What load is the system expected to handle at launch?.
File analysis
File analysis: instruction-only skill (SKILL.md). The agent loads the full body when activated.
Document structure<Questionnaire title>ContextHow to answer<Theme heading>What load is the system expected to handle at launch?Anything else?
Choose the target agent and installation scope, keep referenced package files, then verify the skill appears in the client's catalog.
Ask your Agent to install
Copy these instructions to a compatible agent and confirm the target directory matches your client.
Install the agent skill "to-questionnaire" into my project. The full SKILL.md and official description are at https://zicq.com/en/skills/skl-4b60794ad96fe718-To-Questionnaire.html
Save it as .cursor/skills/to-questionnaire/SKILL.md or .claude/skills/to-questionnaire/SKILL.md and keep the frontmatter name and description exactly as-is.
The CLI lets you choose the agent interactively. The default scope is the project; use -g for user scope. Confirm package availability with the discovery command, then use npx skills list to inspect installed skills.
---
name: to-questionnaire
description: Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
disable-model-invocation: true
---
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-.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, 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:** , **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.
### What load is the system expected to handle at launch?
_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?