본문으로 건너뛰기
cccskills
무료GitHub에 공개

to-questionnaire

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

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

moeru-ai/xsai스타 664(GitHub 664 + cccskills 0)

실행 점수 미검증

설치 방법 보기

포함된 파일(2)

  • SKILL.md2.8 KB
  • agents/openai.yaml166 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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-<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, 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.

<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>

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

moeru-ai/xsai6642026년 10월 26일 업데이트

architect

무료

Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in. Use for /architect, 'architect this', 'design this', or non-trivial work where jumping to code would lock in the wrong shape.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

moeru-ai/xsai6642026년 10월 26일 업데이트

arena

무료

Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it. Use for /arena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

moeru-ai/xsai6642026년 10월 26일 업데이트

ask-matt

무료

Ask which skill or flow fits your situation. A router over the skills in this repo.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

moeru-ai/xsai6642026년 10월 26일 업데이트

Find what a change could break somewhere else before it ships, beyond the diff, and prove the one fact it's safe because of by running real code instead of writing it up. Use for 'blast radius of X', 'what could this break', or reviewing a small diff you don't trust.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

moeru-ai/xsai6642026년 10월 26일 업데이트

Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to "review since X".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

moeru-ai/xsai6642026년 10월 26일 업데이트

moeru-ai의 스킬 모두 보기

이 스킬의 문제 신고