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To questionnaire plus

Skill leek/agent-skills/skills/to-questionnaire-plus

Turn a decision the user can't fully answer into a Markdown questionnaire for someone else to fill in, async or over a meeting. Use Claude Code's AskUserQuestion or Codex's request_user_input for the setup questions. Use when the user says "to questionnaire", needs answers from a stakeholder, vendor, or compliance contact, or a grilling branch is blocked on knowledge someone else holds.From its SKILL.md

Install
npx -y skills add leek/agent-skills --skill to-questionnaire-plus

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.3 KB, 652 tokens by cl100k_base, as published. Nobody here has run it

To Questionnaire Plus

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. Route the setup questions through AskUserQuestion (Claude Code) or request_user_input (Codex) when available — the full question protocol lives in grill-me-plus.

  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.

<questionnaire-template>

<Questionnaire title>

Purpose: why this questionnaire exists and the decision riding on it.

From: <the user> — To: <the recipient> — How your answers will be used: <where they go>

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.

<Theme heading>

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.

<question-example> ### 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.

</question-example>

Anything else?

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

</questionnaire-template>

Gives 0 of the 12 instructions most operations skills give in 652 tokens

Counted across 483 of the 484 authors here whose files we hold, read 2026-08-07

  • Collect monitoring data throughout the simulationin 14 of 483, across 6 files
  • Set the random seed for reproducibilityin 14 of 483, across 6 files
  • Validate simulations against analytical solutionsin 12 of 483, across 4 files
  • Clarify goals, constraints, and inputsin 11 of 483, across 2 files
  • Implement contract tests for integration pointsin 11 of 483, across 2 files
  • Implement strangler fig infrastructure with API gatewayin 11 of 483, across 2 files
  • Audit modernized components for security vulnerabilitiesin 11 of 483, across 2 files
  • Avoid Python blocking calls in processesin 10 of 483, across 3 files
  • Use resource context managers for automatic cleanupin 9 of 483, across 2 files
  • Maintain consistent time unitsin 9 of 483, across 2 files
  • Validate outcomes against success criteriain 8 of 483, across 1 file
  • Analyze the legacy codebase for technical debtin 8 of 483, across 1 file

Said here and by no other author read

  • ask what the user needs back in one exchange
  • write the questionnaire to a Markdown file
  • name the file to-questionnaire-<slug>.md
  • cover every needed item with a question
  • order questions most-important-first
  • group questions under theme headings

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.