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Onboarding Culture Immersion

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ace3000chao
onboarding-culture-immersion

用于新员工入职体系设计。当用户在讨论新员工入职、试用期管理、文化落地时激活。 不适用于：老员工的日常培训（那是学习发展范畴）、外部客户或合作伙伴的接待流程。 关键 trigger：提到入职体验、新员工留不住、文化稀释、价值观传递。

Overview

Publisherace3000chao
Repositorybook2startup
Skill nameonboarding-culture-immersion
Stars
93
Forks
14
Bundled files
1
LicenseMIT
Links
Skill sourceRepository
  • 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 Onboarding Culture Immersion 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/onboarding-culture-immersion
  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/onboarding-culture-immersion .claude/skills/onboarding-culture-immersion
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Onboarding Culture Immersion 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 Onboarding Culture Immersion 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 Onboarding Culture Immersion 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.

Onboarding Culture Immersion

R — 原文 (Reading)

"A proper onboarding process makes new hires feel welcome and integrates them more quickly into the culture. Design the process around the teaching of your Values and Purpose."

— Verne Harnish, Scaling Up, 第5章

I — 方法论骨架 (Interpretation)

Scaling Up 的核心洞察：文化灌输从入职第一天就开始，而不是入职几周后才开始。新员工在前30天的心智处于"高度可塑期"——他们会自然地吸收环境中的信号，无论是真实的价值观还是混乱的信号。

很多公司的入职流程是：前三天签合同、拿电脑、听HR念PPT，然后丢给部门自己看着办。这种入职的结果是：文化实际上是由"谁手把手教他"来定义的，而非由公司的Core Values来定义。

正确的做法是：用公司的Purpose和Core Values来组织整个入职体验。让新员工从第一天起就在体验文化，而不只是听到文化。

形式上：入职培训占比 = 价值观讲解30% + 业务熟悉40% + 导师配对30%。内容上：不是填鸭式的价值观PPT，而是让新员工在第一周就真实参与体现价值观的业务场景。

A1 — 书中的应用 (Past Application)

案例 1: Zappos的"价值观即体验"

  • 问题: Zappos以客户服务文化著称，但快速扩张导致新员工在第一周流失率偏高（他们称之为"坏文化适应"）。
  • 方法论的使用: 将入职体验重新设计：第一个月不是学产品知识，而是跟随客服代表真实接听电话——在第一周就体验"以客户为中心"意味着什么。同时为每位新员工配对一位"Culture Buddy"（非直属上司的文化伙伴）。
  • 结论: 价值观不是背下来的，是体验出来的。
  • 结果: 第一周流失率从24%下降到5%，六个月留存率从65%提升到85%。

案例 2: 某连锁餐饮的新店长入职重塑

  • 问题: 新店长往往在前三个月因为"理想与现实差距太大"而离职或表现不佳。
  • 方法论的使用: 将入职流程从"总部培训两周"改为"第一周在标杆门店跟班真实体验"，让新店长从第一天就看到文化是怎么落地的。同时创始人/高管在入职第一周亲自做"使命愿景价值观"的非正式分享。
  • 结论: 让新店长在入职前就见过真实的文化，而不是被精心包装的PPT。
  • 结果: 新店长三个月留存率从52%提升到79%，首次评分提前两个月达标。

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 新员工试用期流失率偏高时：用户说"新招的人试用期还没过就走了"或"感觉融入不了"。
  2. 文化稀释担忧时：从30人扩到100人的过程中，担心文化被稀释。
  3. 入职体系设计或优化时：在思考要不要做入职培训，或者现有入职流程只是走形式。
  4. 核心价值观无法落地时：公司墙上贴着Core Values，但新员工的行为方式和价值观不匹配。
  5. 讨论导师制或Buddy制时：在设计新员工的归属感和融入机制。

语言信号 (用户的话里出现这些就应激活)

  • "入职……"
  • "新员工……"
  • "文化……"
  • "价值观落地……"
  • "试用期……"
  • "留不住……"

与相邻 skill 的区分

  • 与 HR Systems Align Values 的区别：HR系统对齐是顶层设计，覆盖招聘/绩效/奖励/入职全系统；这个skill是入职这一个环节的具体操作方法。
  • 与 First-Rate Talent Needs Coach 的区别：教练是一对一深度成长关系，入职 immersion是全员覆盖的文化落地机制——一个针对A类高潜，一个针对全员。

E — 可执行步骤 (Execution)

当 skill 被激活后，agent 应按以下步骤执行:

  1. 审计当前入职体验的"文化信号"

    • 列出新员工入职第一周的完整日程（每个小时在做什么）
    • 问：这个日程传递了什么文化信号？是真的在传递Core Values，还是只是在走行政流程？
    • 完成标准：识别出当前入职体验中"与价值观对齐"和"与价值观矛盾"的具体环节

  2. 设计价值观驱动的入职体验

    • 保留必要的行政流程（签合同、拿设备），但增加能体现Core Values的体验环节
    • 关键问题：新员工在入职第一天/第一周，最需要"体验"哪个核心价值观？
    • 判停条件：若当前入职体验已经很充实（>5天），先做减法而非继续添加

  3. 建立Culture Buddy或导师配对机制

    • 选择Buddy标准：与新员工非直属汇报关系、是公司Core Values的真实践行者
    • 明确Buddy职责：入职第一个月每周一次非正式交流，帮助新员工理解"这里的文化实际上是怎样的"
    • 完成标准：产出一份包含入职体验重构建议和Buddy机制设计的完整方案

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 入职流程已经超负荷：如果新员工已经需要接受超过两周的各类培训，文化的堆砌只会让入职体验更混乱——先做减法。
  • 强合规要求的行业：金融、医疗等行业的新员工入职有大量强制合规内容，无法大幅调整时间结构。
  • 只有1-2人的极小团队：个体员工直接暴露在公司所有业务场景中，正式入职流程相对简化，重点是日常融入。

作者在书中警告的失败模式

  • 入职第一天就让新员工独自面对客户或复杂系统——这会给他们留下"这个公司不重视我"的印象，伤害信任建立。

作者的盲点 / 时代局限

  • 对远程入职（尤其是跨地域/跨国）场景的特殊挑战（无法实地跟班、无法参加线下活动）覆盖不足。

容易混淆的邻近方法论

  • HR Systems Align Values：HR系统对齐是"所有HR系统"都要对齐价值观的大框架，入职 immersion是这个框架在"入职"这一个环节的具体落地——前者是顶层原则，后者是执行细节。

相关 skills (阶段 3 填充)

  • depends-on: [hr-systems-align-values]
  • contrasts-with: [first-rate-talent-coach]
  • composes-with: [hire-fewer-higher-pay]

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 Onboarding Culture Immersion AI skill do?

用于新员工入职体系设计。当用户在讨论新员工入职、试用期管理、文化落地时激活。 不适用于：老员工的日常培训（那是学习发展范畴）、外部客户或合作伙伴的接待流程。 关键 trigger：提到入职体验、新员工留不住、文化稀释、价值观传递。

Why use Onboarding Culture Immersion on TypingMind?

Because you install it once and use it with any model. Onboarding Culture Immersion 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 Onboarding Culture Immersion in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/onboarding-culture-immersion. 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 Onboarding Culture Immersion?

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 Onboarding Culture Immersion?

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

Is the Onboarding Culture Immersion 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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