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To Questionnaire

CommunityPopular
vinvcn
to-questionnaire

把你无法完整回答的 decision 转成一份交给他人填写的 questionnaire。

Overview

Publishervinvcn
Repositorymattpocock-skills-zh-CN
Skill nameto-questionnaire
Stars
4.3K
Forks
347
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by vinvcn on GitHub. Read the source before you install it.

Installation

Install the To Questionnaire AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vinvcn/mattpocock-skills-zh-CN.git /tmp/mattpocock-skills-zh-CN
mkdir -p .claude/skills
cp -r /tmp/mattpocock-skills-zh-CN/skills/productivity/to-questionnaire .claude/skills/to-questionnaire
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable To Questionnaire in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads To Questionnaire on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so To Questionnaire is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

把用户无法独自回答的事情转成一份 questionnaire——一份交给某个人异步填写,或在会议中一起填写的 Markdown document。Recipient 掌握用户缺少的知识;questionnaire 要把这些知识提取出来。

Grill the send, not the subject。 只围绕用户始终能够回答的 send 进行访谈:发送给谁,以及需要对方返回什么。Document 中的问题再针对 recipient 所知与用户所需之间的 gap

  1. 发送给谁? 在一次交流中询问 recipient 的 role、expertise 和与用户的关系。这会确定 questionnaire 的语气,以及需要携带多少 context。知道 recipient 是谁,以及对方掌握哪些用户不掌握的知识后,这一步完成。

  2. 需要返回什么? 在一次交流中询问用户无法独自解决、需要此人提供的具体 decisions 或 facts。当你得到一份具体清单,明确用户最终必须能做什么或决定什么时,这一步完成。

  3. 编写 questionnaire。 根据步骤 1–2 的 gap 起草问题,并遵循下面的 Document structure。把文件写到当前目录的 to-questionnaire-<slug>.md(slug 来自主题),然后报告路径。当文件存在,且步骤 2 中用户列出的每项内容都有问题覆盖时完成。

Document structure

把 document 定位为 discovery questionnaire:用户缺少 context,而 recipient 掌握它。按重要程度降序排列问题——异步沟通可能只有一次机会;问题超过少量时,按主题放在 ## headings 下。使用以下 template。

Purpose: <这份 questionnaire 为什么存在,以及它关系到哪项 decision>

From: <用户> — To: How your answers will be used: <答案将用于哪里>

Context

用一个 paragraph 帮助不了解用户思路的 recipient 建立 context。内容足以让对方认真回答,但不要写满一页。

How to answer

说明 deadline 和大致所需时间。部分回答和“我不知道”也有价值;不确定时请标记出来,而不是直接跳过。

每个 theme 使用一个 ## section,问题按重要性降序排列。每个问题只包含一个 idea,绝不要组合多个问题;在正下方放 answer stub。只有问题可能被误解或得到敷衍回答时,才添加一行 why this matters

Why this matters: 这决定我们现在就为突发流量预留资源,还是推迟处理。

Anything else?

最后提供一个兜底问题:还有哪些我们没问、但应该知道的内容?

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the To Questionnaire AI skill do?

把你无法完整回答的 decision 转成一份交给他人填写的 questionnaire。

Why use To Questionnaire on TypingMind?

Because you install it once and use it with any model. To Questionnaire is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install To Questionnaire in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vinvcn/mattpocock-skills-zh-CN/tree/main/skills/productivity/to-questionnaire. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use To Questionnaire?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with To Questionnaire?

As many as you like. As long as a model supports skills, you can use To Questionnaire with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the To Questionnaire AI skill free?

Yes. It is published on GitHub by vinvcn under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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