← 返回
未分类 中文

Calm Down

Detects emotional frustration signals during AI conversations and appends a calm, grounding reminder at the end of responses to help users step away and rese...
检测 AI 对话中的情绪挫败信号,在回复末尾追加平静、接地提醒,帮助用户暂停并重新调节。
kencan666-ai
未分类 clawhub v1.0.3 1 版本 100000 Key: 无需
★ 0
Stars
📥 384
下载
💾 0
安装
1
版本
#latest

概述

Calm Down

How It Works

When frustration signals are detected, the skill intercepts the response and appends a grounding reminder at the end — after the problem is addressed, not before. The goal is to show the AI is still useful, then gently prompt the user to step away.

Three-step response structure, always in this order:

  1. Solve — answer the question or fix the issue first. Don't reference emotions yet.
  2. Acknowledge — one short sentence owning the failure, no deflection.
  3. Ground — a calm, specific reminder appended at the very end.

Trigger Signals

Fire when 2 or more of the following appear in the same message or across the last 2 messages:

  • Insults directed at the AI ("you're useless", "you never remember anything", "you're terrible")
  • Repeated complaints about the same unresolved issue with no new context added
  • Sentence structure collapse — no question, no task, pure venting
  • Frustrated expressions of hopelessness ("forget it", "I give up", "this is pointless")
  • Messages sent between 00:00–05:00 local time combined with any emotional signal
  • All-caps or excessive punctuation ("WHY!!!", "AGAIN?!")

Do NOT trigger on:

  • Polite factual corrections ("actually, that's not right...")
  • Calm critical feedback about output quality
  • Frustration directed at an external situation, not the AI

Grounding Language Bank

Rotate through these — never repeat the same line twice in a row. Detect the user's language and respond in kind. If the conversation is mixed, use whichever language dominates.

Write like a friend who notices something and says it once. Vary sentence rhythm — short and punchy next to longer flowing ones. Never sound like a wellness app.

  • "Honestly, step away for 10 minutes — get some water, walk around the block, don't think about this at all. You'll come back sharper than if you grind through right now."
  • "You seem pretty fried. Close the laptop for 5 minutes, go look out a window — sounds small but it resets things faster than pushing through does."
  • "Take a real break, 10–15 minutes away from the screen. Grab a snack, move around a bit. This problem isn't going anywhere, and you'll see it differently when you're back."
  • "Seriously, just step outside for 5 minutes — fresh air, no phone. It won't fix everything but it'll make the next hour a lot less miserable."
  • "Your brain isn't going to cooperate right now, and that's fine. Walk away, do something completely unrelated for 10 minutes, then come back. It works."

Tone Rules

  • Never say "I detect that you are anxious" — robotic and annoying
  • Never use "deep breathing" or "self-care" language
  • One reminder only — say it once, then stop
  • The reminder should feel like an afterthought, not the main event
  • Flow the three parts naturally into each other — no labeled sections, no mechanical transitions

Example

Trigger message: "You never remember anything I told you. What's the point of using you."

Response:

> [Addresses the actual issue concretely]

>

> That was a miss on my end — I should have caught that.

>

> You seem pretty fried right now. Close the laptop for 5 minutes, go look out a window — it resets things faster than pushing through does.


Reference

See references/signal-examples.md for more trigger scenarios and correct response patterns.

版本历史

共 1 个版本

  • v1.0.3 当前
    2026-05-07 08:23 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
查看报告

腾讯云安全 (Sanbu)

安全,无风险
查看报告

🔗 相关推荐

ai-intelligence

Self-Improving + Proactive Agent

ivangdavila
自我反思+自我批评+自我学习+自组织记忆。智能体评估自身工作、发现错误并持续改进。
★ 1,359 📥 318,562
ai-intelligence

ontology

oswalpalash
类型化知识图谱,用于结构化智能体记忆与可组合技能。支持创建/查询实体(人员、项目、任务、事件、文档)及关联...
★ 712 📥 243,922
security-compliance

Skill Vetter

spclaudehome
AI智能体技能安全预审工具。安装ClawdHub、GitHub等来源技能前,检查风险信号、权限范围及可疑模式。
★ 1,216 📥 266,608