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Hr Systems Align Values

Community
ace3000chao
hr-systems-align-values

用于HR体系建设和Core Values落地。当用户在讨论文化建设、绩效考核、招聘标准时激活。 不适用于:具体劳动合同条款、法定合规要求、薪酬市场调研。 关键 trigger:提到Core Values、绩效考核、招聘标准、奖金制度、文化建设。

Overview

Publisherace3000chao
Repositorybook2startup
Skill namehr-systems-align-values
Stars
93
Forks
14
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ace3000chao on GitHub. Read the source before you install it.

Installation

Install the Hr Systems Align Values AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/hr-systems-align-values
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ace3000chao/book2startup.git /tmp/book2startup
mkdir -p .claude/skills
cp -r /tmp/book2startup/ScalingUp-skills/hr-systems-align-values .claude/skills/hr-systems-align-values
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hr Systems Align Values in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hr Systems Align Values on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hr Systems Align Values is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

HR Systems Align Values

R — 原文 (Reading)

"A leader must go beyond merely posting a company's Values and Purpose on the wall. The key is for you to align ALL of your HR systems and processes around one list of your Values."

— Verne Harnish, Scaling Up, 第6章


I — 方法论骨架 (Interpretation)

Scaling Up 指出Core Values建设最常见的失败模式:写在墙上,锁在抽屉里,与实际管理系统完全脱节。Core Values不只是文化宣言,必须成为HR系统运行的底层操作系统。

所有HR系统和流程都必须与同一套Core Values对齐:招聘(选拔标准)→ 入职(文化灌输)→ 绩效评估(评估维度)→ 奖励认可(激励标准)→ 晋升决策(晋升条件)→ 员工手册(行为边界)。

如果一个人在面试中因Core Values不匹配被录用,或者绩效评估不以价值观为维度,或者奖励只和业绩挂钩而忽视价值观践行,Core Values就成了装饰品而非行为准则。

对齐的核心逻辑:你考核什么,你就得到什么。不把价值观纳入考核,等于在告诉员工"价值观只是说说而已"。


A1 — 书中的应用 (Past Application)

案例 1: 某电商公司的价值观考核落地

  • 问题: 公司有5条Core Values,但绩效评估只看KPI,年底优秀员工的评选只看业绩,结果是业绩好但价值观不符的人得到晋升,引发其他员工不满。
  • 方法论的使用: 将绩效评估改为双维度:KPI成绩(权重60%)+ 价值观践行评分(权重40%)。价值观评分由直属上司、同事和下属三方评价。晋升必须两个维度都达标。
  • 结论: 把价值观从"墙上"移到"绩效表上"。
  • 结果: 年底因"价值观不符"否决了3位高业绩员工晋升,第二年全公司主动离职率下降15%(走了不该走的人,留了真正认同的人)。

案例 2: 某律所的招聘价值观对齐

  • 问题: 律所核心价值观包括"协作",但招聘时只考核专业能力和学历,导致新律师都是"明星个人"而非"团队协作者",合伙人投诉跨团队协作项目难以推进。
  • 方法论的使用: 重构面试流程:在专业面试后增加"价值观面试"环节,由未来合作团队的成员参与,评估候选人是否主动协作、愿意分享资源、尊重他人贡献。
  • 结论: 招聘系统的改变比墙上贴标语更有效。
  • 结果: 两年内跨团队项目数量增加40%,项目利润率提升8%(协作减少了重复劳动和内部摩擦)。

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 讨论Core Values建设时:用户说"我们的价值观写在墙上但没人执行"或"感觉价值观只是HR做做样子"。
  2. 绩效体系设计或调整时:在讨论绩效考核维度、评估标准时——是否应该纳入价值观评估。
  3. 招聘标准制定时:在讨论人才选拔标准时——选人标准是否与Core Values一致。
  4. 文化稀释担忧时:公司快速扩张,担心规模化和文化建设无法同步。
  5. 晋升决策争议时:在讨论某位高行业绩但价值观看不符的员工是否应该晋升。

语言信号 (用户的话里出现这些就应激活)

  • "价值观……"
  • "绩效考核……"
  • "招聘标准……"
  • "文化建设……"
  • "晋升……"
  • "奖励……"
  • "这个人不认同我们的文化"

与相邻 skill 的区分

  • 与 Hire for Culture Fit 的区别:文化契合招聘解决的是"招聘这一个环节如何对应价值观",这个skill是覆盖所有HR系统(招聘/绩效/奖励/晋升/入职)的系统对齐。
  • 与 Onboarding Culture Immersion 的区别:入职 immersion是HR系统中"入职这一个模块"的操作方法,这个是所有模块的整体对齐原则。

E — 可执行步骤 (Execution)

当 skill 被激活后,agent 应按以下步骤执行:

  1. 盘点当前HR系统与Core Values的对齐现状

    • 逐一检查6个关键系统:招聘标准、入职流程、绩效评估、奖励机制、晋升决策、员工手册
    • 对齐问题诊断:哪些环节已经对齐?哪些环节核心价值观"缺位"(不在考核/评估标准中)?
    • 完成标准:产出一份"HR系统×价值观对齐"矩阵图
  2. 识别最需要修复的对齐缺口

    • 选择优先级最高的一个缺口:通常是"绩效评估"(影响最大,立即可见)或"招聘标准"(预防优于治疗)
    • 判停条件:若用户已有明确的改造优先级假设,直接进入步骤3
  3. 设计该HR系统的价值观对齐改造方案

    • 以绩效评估为例:增加价值观评估维度 → 设计价值观行为锚定评分表 → 确定权重分配(如60%业绩+40%价值观)
    • 关键原则:要让员工知道"光做好业绩不够,还要用对的方式做好业绩"
    • 完成标准:产出一份包含改造前后对比、行为锚定示例和实施计划的方案

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 价值观体系尚未清晰定义时:如果公司只有模糊的文化口号而非具体的3-5条Core Values,对齐HR系统无从谈起——先定义价值观。
  • 强合规行业:金融、医疗等行业的绩效和薪酬有严格监管限制,某些对齐改造可能触碰合规边界。
  • 少于20人的小团队:小团队的文化主要靠创始人和早期员工的身体力行,过早引入复杂的价值观考核体系反而伤害灵活性。

作者在书中警告的失败模式

  • 把价值观变成"道德警察"工具——用价值观评估惩罚异见者或取代合理的业务决策讨论。

作者的盲点 / 时代局限

  • 对跨国企业的跨文化价值观对齐没有提供足够的操作指导——不同国家的员工对Core Values的理解和认同方式可能存在冲突。

容易混淆的邻近方法论

  • Hire for Culture Fit(为文化契合度招聘):文化契合度招聘是HR系统对齐中"招聘这一环节"的执行方法,HR系统对齐是涵盖所有HR环节的整体框架——局部 vs 整体。

相关 skills (阶段 3 填充)

  • depends-on: [hire-for-culture-fit, onboarding-culture-immersion]
  • contrasts-with: [hire-for-culture-fit]
  • composes-with: [fairness-not-sameness]

审计信息

  • 验证通过: V1 ✓ / V2 ✓ / V3 ✓
  • 测试通过率: 待填充
  • 蒸馏时间: 2026-04-26

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Hr Systems Align Values AI skill do?

用于HR体系建设和Core Values落地。当用户在讨论文化建设、绩效考核、招聘标准时激活。 不适用于:具体劳动合同条款、法定合规要求、薪酬市场调研。 关键 trigger:提到Core Values、绩效考核、招聘标准、奖金制度、文化建设。

Why use Hr Systems Align Values on TypingMind?

Because you install it once and use it with any model. Hr Systems Align Values is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hr Systems Align Values in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/hr-systems-align-values. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hr Systems Align Values?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hr Systems Align Values?

As many as you like. As long as a model supports skills, you can use Hr Systems Align Values with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hr Systems Align Values AI skill free?

Yes. It is published on GitHub by ace3000chao under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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