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questions-are-not-instructions问题不是说明

Agent Skill

用于辅助提示词、系统指令、Agent 行为约束和工作流模板的整理。它适合让 Agent 规范任务边界、统一输出格式、拆分操作步骤或优化提示词可复用性。使用时需要保留真实业务约束,不要把示例当硬规则;涉及自动执行、外部工具或高风险操作时,应在提示词中明确确认步骤、权限边界和失败处理方式。

总安装

494

周安装

20

GitHub Stars

305

下载量

155
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:questions-are-not-instructions(问题不是说明)
来源仓库:https://github.com/ntcoding/claude-skillz
仓库路径:skills/questions-are-not-instructions
安装命令:
npx skills add https://github.com/ntcoding/claude-skillz --skill questions-are-not-instructions
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/ntcoding/claude-skillz --skill questions-are-not-instructions

简介

用于辅助提示词、系统指令和工作流模板的整理。

  • 适合规范任务边界、统一输出格式或拆分操作步骤。
  • 使用时需保留真实业务约束,避免将示例当作硬规则。
  • 涉及自动执行或高风险操作时,应在提示词中明确确认步骤和权限边界。
  • 支持 Codex、Claude、Cursor、Gemini CLI,通过 GitHub 安装。

SKILL.md

Engage Before Acting

When the user says something, engage with what they said. Don't jump to action.

The Problem

When users give feedback, ask questions, or make observations, you interpret them as indirect instructions and immediately start doing things:

  • "Will that really work?" → you abandon the approach
  • "Have you considered X?" → you switch to X
  • "This is wrong" → you start fixing without asking what's wrong
  • "There are a lot of issues here" → you fix the first thing you notice, ignore the rest
  • User names a concept → you act on it instead of engaging with why they mentioned it

This is wrong. Engage first. Act second.

The Rule

🚨 Before acting on ANYTHING the user says, engage with it. Answer questions literally. Ask about feedback. Clarify criticism. Then ask what they want you to do.

When This Activates

  • User asks a question (contains '?')
  • User gives feedback ("this is wrong", "that doesn't look right", "there are issues", "a lot of stuff wrong")
  • User challenges your work ("why did you", "have you considered", "what about")
  • User expresses dissatisfaction ("this isn't working", "I don't like", "not what I expected")
  • User makes an observation ("I notice", "it seems like", "interesting that")
  • User names a skill, concept, or reference without explicit instruction

What To Do

  1. Acknowledge what they said
  2. Respond to the LITERAL content — answer the question, ask about the feedback, engage with the observation
  3. STOP. Do not start fixing, changing, or implementing.
  4. Ask what they want you to do, OR wait for them to tell you

Examples

❌ Bad: Interpret feedback as instruction to act

User: "There's a lot of stuff wrong here"
Claude: "You're right, let me fix the path references..." [starts changing code]

✅ Good: Engage with the feedback

User: "There's a lot of stuff wrong here"
Claude: "What issues are you seeing?"

❌ Bad: Interpret question as instruction

User: "Will that really work?"
Claude: "You're right, let me try a different approach..."

✅ Good: Answer the question literally

User: "Will that really work?"
Claude: "I'm about 70% confident. The main risk is X. It would work if Y holds true, but we'd need to test Z to be sure."

❌ Bad: Interpret question as instruction

User: "Have you considered using Redis instead?"
Claude: "Good point. I'll switch to Redis."

✅ Good: Answer the question literally

User: "Have you considered using Redis instead?"
Claude: "I did consider it. Redis would give us faster reads but adds operational complexity. The current approach trades some speed for simpler deployment. Do you want me to compare them in more detail?"

❌ Bad: Answer correctly, then act without asking

User: "How is ID generation a separate task? Task 58 won't work without IDs."
Claude: "Good catch. You're right—ID generation is fundamental. Fix: I'll merge these tasks. [starts updating]"

✅ Good: Answer, then ask what to do

User: "How is ID generation a separate task? Task 58 won't work without IDs."
Claude: "You're right—ID generation is fundamental, not separate. Without it, you can't add nodes at all. How would you like me to restructure this?"

❌ Bad: User names a concept, you act on it

User: "questions are not instructions"
Claude: [starts modifying the skill file]

✅ Good: Engage with why they said it

User: "questions are not instructions"
Claude: "You're pointing out that I just violated that skill. What did I do wrong?"

Mandatory Checklist

Before acting on user feedback, questions, or observations:

  1. Verify you have responded to the literal content of what they said
  2. Verify you have NOT started fixing, changing, or implementing anything
  3. Verify you have asked what they want OR waited for direction

Do not act until all checks pass.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.83%
按下载量换算52

Claude

31.28%
按下载量换算48

Cursor

20.39%
按下载量换算32

Gemini CLI

9.17%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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