to-questionnaire
Skill522 starsChanged 38 days agoMITView on GitHub
将你无法完全回答的决策转化为供他人填写的问卷。
129 other projects use a version of this.
Adopted by
Most recently taken up by
- thistleknot/skillstheir own version, first seen Nov 8, 2026
- cormacc/dotagentstheir own version, first seen Nov 8, 2026
- xiaoxiaosrm/dsh-mattpocock-skillstheir own version, first seen Nov 8, 2026
- The-Vibe-Company/quivrtheir own version, first seen Nov 8, 2026
- 5thlayer/skillworkstheir own version, first seen Nov 8, 2026
- dfirmin/compasstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use setup-skills.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
GitHubSkillsetup-skills
Configures shared sources and drafts context with independent writers. Plain/fresh setup offers installation of user-named packages and reuses built-in browser capabilities, adding browser tooling only for an evidenced required-check gap. Use for setup, source repair, writing context or refreshing drafts. Configure-only skips tooling and authoring; installations and activation require separate approval.
Also in 6 projects that use this
Other versions129 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 129
- mattpocock/skills★ 309ksame name
- QuivrHQ/quivr★ 40ksame name
- The-Vibe-Company/quivr★ 40ksame name
- ArcReel/ArcReel★ 6.3ksame name
- vinvcn/mattpocock-skills-zh-CN★ 5.5ksame name
- withcoral/coral★ 4.9ksame name
- bestofjs/bestofjs★ 3.1ksame name
- moeru-ai/xsai★ 667same name
- aws/graph-explorer★ 490same name
- itsmylife44/cliproxyapi-dashboard★ 283same name
119 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository39 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- ask-mattSkill
- codebase-designSkill
- code-reviewSkill
- diagnosing-bugsSkill
- domain-modelingSkill
- grill-with-docsSkill
- implementSkill
- implement-specSkill
- improve-codebase-architectureSkill
- prototypeSkill
- prSkill
- researchSkill
- retroSkill
- setup-matt-pocock-skillsSkill
- tddSkill
- to-specSkill
- to-ticketsSkill
- triageSkill
- wayfinderSkill
- wizardSkill
- chief-of-staffSkill
- claude-handoffSkill
- loop-meSkill
- setup-ts-deep-modulesSkill
- software-factorySkill
- writing-beatsSkill
- writing-fragmentsSkill
- writing-shapeSkill
- git-guardrails-claude-codeSkill
- migrate-to-shoehornSkill
- scaffold-exercisesSkill
- setup-pre-commitSkill
- grillingSkill
- grill-meSkill
- handoffSkill
- teachSkill
- wait-whatSkill
- writing-for-agentsSkill
The file
Files
转化为问卷
将用户无法独自回答的问题转化为一份问卷:一份 Markdown 文档,交给某个人异步填写,或在会议中共同填写。接收者拥有用户缺乏的知识;问卷负责把这些知识挖掘出来。
审问"发送"而非"主题"。 只询问用户关于"发送"的问题:这是他们总能回答的:发给谁,以及需要什么回来。文档中的问题则针对接收者所知与用户所需之间的差距。
- 发给谁? 用一个来回问清楚接收者的角色、专长,以及和用户的关系。这决定了问卷的语气和需要携带多少上下文。完成条件:你知道了接收者是谁,以及他们知道什么用户不知道的东西。
- 你需要什么回来? 用一个来回问清楚用户无法独自解决、需要从这个人那里获得的具体决策或事实。完成条件:你有了一个具体的清单,列出用户必须能据此做出或决定的事情。
- 撰写问卷。 针对步骤 1-2 中确定的差距起草问题,遵循下面的文档结构。将问卷写入当前目录下的
to-questionnaire-<slug>.md文件(slug 来自主题),并报告文件路径。完成条件:文件存在,且用户在步骤 2 中提到的每一个项目都有对应的问题覆盖。
文档结构
将文档定位为一份发现问卷:用户缺乏上下文,接收者掌握它。按重要性排序:异步意味着你可能只有一次机会:当问题超过几个时,用 ## 标题按主题分组。使用下面的模板编写。
<questionnaire-template><问卷标题>
目的: 此问卷存在的原因以及它所影响的决策。
来自: <用户> : 发给: <接收者> : 你的回答将用于: <去向>
背景
一段话,为不了解用户背景的接收者提供上下文。足以让他们回答好问题,不超过一页。
如何回答
截止日期和大致的投入时间。部分回答和"我不知道"同样有用:如果你对任何内容不确定,请标注出来,而不是跳过它。
<主题标题>
每个主题一个 ## 部分。每个部分下按重要性排序的问题。每个问题只有一个想法:绝不复合:每个问题下方直接留有回答位置,并且仅在问题可能被误解或导致敷衍回答时才添加一行_为什么这很重要_。
<question-example>
### 系统预计在发布时承担多少负载?为什么这很重要:它决定了我们是现在为突发流量做准备,还是推迟到以后。
</question-example>还有其他问题吗?
一个开放的收尾问题:我们没问到但你应该告诉我们的任何事?
</questionnaire-template>Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

