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技能库 智客分类:Agent 工作流 to-questionnaire

To Questionnaire

把无法完全回答的决定转换成问卷,供他人填写.

578510 安装量

官方网址:skills.sh

技能介绍

先看中文介绍;官方 description 原文单独保留,不改写 SKILL.md。

做什么

把无法完全回答的决定转换成问卷,供他人填写.

何时用

官方 description 未单独写出 Use when。按规范,代理会在用户任务与这段 description 的关键词匹配时激活本技能。

代理如何加载

按 Agent Skills 渐进披露:启动时只加载 name 与 description(约 100 token);任务匹配后才读入整份 SKILL.md 正文;scripts/、references/、assets/ 仅在需要时再读。 本文件正文结构:Document structure、<Questionnaire title>、Context、How to answer、<Theme heading>、What load is the system expected to handle at launch?。

文件分析

文件分析:这是一份仅含 SKILL.md 的指令型技能,代理激活后整份正文进入上下文。

官方 description(原文)

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

Document structure<Questionnaire title>ContextHow to answer<Theme heading>What load is the system expected to handle at launch?Anything else?

来源分类:skills.sh agent-skill

SKILL.md 与 Agent 调用

官方规范 ↗
name
to-questionnaire
description
Turn a decision you can't fully answer into a questionnaire for someone else to fill in.
  1. 发现技能客户端向 Agent 提供名称与描述目录。
  2. 匹配与调用用户指定或任务匹配后,载入 SKILL.md 指令。
  3. 按需加载按步骤读取参考文档、使用脚本与素材。

具体调用语法与可用工具以目标 Agent 客户端为准。 查看调用机制说明 ↗

安装这个技能

Skills CLI ↗

先选择目标 Agent 和安装范围,保留技能包的附属文件,安装后检查客户端能否发现该技能。

交给 Agent 安装

复制安装指令给支持 Agent Skills 的代理,确认其中的目标目录与客户端匹配。

把 Agent Skill「to-questionnaire」安装到我的项目:SKILL.md 原文与官方 description 见 https://zicq.com/zh/skills/skl-4b60794ad96fe718-To-Questionnaire.html
请存为 .cursor/skills/to-questionnaire/SKILL.md 或 .claude/skills/to-questionnaire/SKILL.md,frontmatter 的 name 与 description 保持原样,不要改写。

GitHub 完整包 ↗

终端安装 · Skills CLI

需要 Node.js 与 npx。先查看仓库技能列表,确认实际名称。

npx skills add 'https://github.com/mattpocock/skills' --list

npx skills add 'https://github.com/mattpocock/skills' --skill 'to-questionnaire'

CLI 会交互选择目标 Agent,默认安装到项目;用户级安装使用 -g。先通过查看命令核对仓库内容,再用 npx skills list 检查已安装技能。

阅读排版
--- 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?

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