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agent-mindset-termination-protocolAgent 人心态终止协议

Agent Skill

agent-mindset-termination-protocol 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

21,179

周安装

798

GitHub Stars

2

下载量

9,675
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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:agent-mindset-termination-protocol(Agent 人心态终止协议)
来源仓库:https://github.com/coowoolf/insighthunt-skills
仓库路径:skills/agent-mindset-termination-protocol
安装命令:
npx skills add https://github.com/coowoolf/insighthunt-skills --skill 'Agent Mindset Termination Protocol'
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/coowoolf/insighthunt-skills --skill 'Agent Mindset Termination Protocol'

简介

Agent Mindset Termination Protocol 将人员离职管理与职业推荐结合的人道化框架。

  • 适用于需要减少裁员创伤和提升雇主声誉的场景。
  • 通过经理作为人才代理的方式,主动为离职员工寻找新工作。
  • 安装需确认人力资源流程和推荐网络配置。
  • agent-mindset-termination-protocol 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

The Agent Mindset Termination Protocol

"If you let them go kindly and humanely, the key is... you become their agent, like Michael Ovitz... You help them find their next job actively." — Matt Mochary

What It Is

This framework separates the business decision (customer needs) from the humane implementation. The manager acts as a talent agent (like CAA) for the departing employee, actively using their network to land them a new job.

When To Use

  • Individual performance-based firings
  • Large-scale layoffs
  • Any situation where someone must leave
  • To reduce trauma and reputational damage

The Protocol

┌──────────────────────────────────────────────────────┐
│  1. DIRECT NOTIFICATION                              │
│     News delivered 1-on-1 by immediate manager       │
│     NEVER via email or group settings                │
├──────────────────────────────────────────────────────┤
│  2. EMOTION RELEASE                                  │
│     Allow venting of anger/sadness                   │
│     Simply listen and validate                       │
│     "I imagine you are feeling angry right now"      │
├──────────────────────────────────────────────────────┤
│  3. ACTIVE AGENCY                                    │
│     Dedicate 1-2 hours to call your network          │
│     Recommend them for their specific strengths      │
│     Follow up on leads personally                    │
└──────────────────────────────────────────────────────┘

Core Principles

1. Direct Notification

News must be delivered 1-on-1 by the immediate manager—never by email, HR, or in group settings.

2. Emotion Release

Allow the employee to vent anger/sadness. Simply listen and validate ("I imagine you are feeling angry").

3. Active Agency

Dedicate 1-2 hours to personally calling your network to recommend the employee for their specific strengths.

How To Apply

STEP 1: Prepare the Conversation
└── Clear calendar for 30-60 min afterward
└── Have logistics ready (severance, timeline)

STEP 2: Deliver News Directly
└── "I have difficult news. We are letting you go."
└── Be clear; don't soften with preamble

STEP 3: Create Space for Emotion
└── Silence. Let them react.
└── "I imagine you're feeling [angry/sad/shocked]"
└── Don't defend or explain excessively

STEP 4: Become Their Agent
└── "I want to help you find your next role"
└── Immediately think of 3-5 people to call
└── Make calls that day while it's fresh

STEP 5: Follow Up
└── Check in on their search
└── Provide references proactively

Common Mistakes

❌ Offering passive help ("let me know if you need a reference")

❌ Delivering news via email or group announcement

❌ Rushing through emotions to "get it over with"

Real-World Example

Matt firing a high-performing employee simply because there wasn't enough work, then helping him realize he wanted to be a founder and supporting that transition.


*Source: Matt Mochary, Lenny's Podcast*

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

35.4%
按下载量换算3,425

Claude

28.74%
按下载量换算2,781

Cursor

17.81%
按下载量换算1,723

Gemini CLI

9.38%
按下载量换算908

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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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