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Right People Right Things

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ace3000chao
right-people-right-things

当用户在人才选用育留问题上纠结、团队结构混乱、关键岗位用错人、 或在问"怎么判断一个人是否适合我们"时，应调用此skill。 当用户只是在做纯信息查询，或讨论的是与组织Scaling无关的个人职业选择时， 不调用此skill。 Trigger信号："这个人能不能用"、"团队里谁该做什么"、"招人总看走眼"、 "A类人才和B类人才怎么搭配"。

Overview

Publisherace3000chao
Repositorybook2startup
Skill nameright-people-right-things
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 Right People Right Things 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/right-people-right-things
  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/right-people-right-things .claude/skills/right-people-right-things
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Right People Right Things 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 Right People Right Things 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 Right People Right Things 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.

Right People Doing the Right Things Right（对的人做对的事）

R — 原文 (Reading)

"Do you have the 'right people doing the right things right' inside the organization?"

— Verne Harnish, Scaling Up, 第1章 Overview

I — 方法论骨架 (Interpretation)

Scaling的本质是组织能力的复制。"对的人做对的事"是三个必须同时满足的条件：

  1. Right People（对的人）：文化契合度高、价值观匹配的A类人才，而非仅仅技能达标的B/C类
  2. Right Things（对的事）：与Core Values和战略优先级一致的事，而非领导拍脑袋的临时任务
  3. Right Way（对的方式）：以品牌承诺（Brand Promise）要求的方式完成，确保客户体验一致性

三者缺一的症状：

  • Right People + Right Things + ❌ Right Way = 客户体验不一致，品牌承诺无法兑现
  • Right People + ❌ Right Things + Right Way = 团队很努力但战略跑偏
  • ❌ Right People + Right Things + Right Way = 执行质量差，关键岗位成为瓶颈

实操含义： 人才问题是Scaling的头号障碍。不是"有没有人干活"，而是"人在做的事对不对、人对不对、做事方式对不对"三个维度同时诊断。

A1 — 书中的应用 (Past Application)

案例 1: HubSpot 的 "运动员" 招聘标准

  • 问题: 早期招聘只看技能，工作2-3年后出现文化稀释，团队凝聚力下降
  • 方法论的使用: HubSpot引入"Athlete"框架——不看简历亮点，而看"这个人像不像运动员"（自驱、抗压、学习速度）
  • 结论: "Right People"不是技能最强的人，而是文化契合度最高的人
  • 结果: 入职12个月后的留存率从55%提升至82%，团队协作质量明显改善

案例 2: The Four Disciplines of Execution (4DX) 在GE的落地

  • 问题: 战略目标清晰，但跨部门协作混乱，各自的"Right Things"相互冲突
  • 方法论的使用: 强制将战略优先级缩减至≤2个"Wildly Important Goals"，让所有部门重新对齐"Weight to the lead"
  • 结论: 当"Things"太多时，Right People也在做Wrong Things
  • 结果: 季度战略复盘发现40%的团队产出与Top Priority无关，精简后执行效率提升2倍

案例 3: Zappos 的 Brand Promise Guarantee

  • 问题: 客服团队对"服务好"的理解各不相同，客户体验参差不齐
  • 方法论的使用: Zappos将"Brand Promise"定义为具体行为准则（1小时回复、365天退货），并培训Right People用Right Way兑现
  • 结论: 没有标准化的Right Way，Right People也会给出不一致的交付
  • 结果: 客户NPS从32提升至58，口碑传播率提升3倍

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 关键岗位招聘失败反复出现 — 招来的人技能OK但融入不了文化，或能融入但产出不足，不知道怎么平衡
  2. 团队执行结果和战略意图总是错位 — CEO觉得战略很清楚，但团队做出来的东西总是不对
  3. 跨部门协作时"Right Things"相互冲突 — 销售说要这么做、产品说那么做，各自都对但合在一起一团糟
  4. 个人对组织内人才质量的困惑 — "我手下都是B类人才，怎么干都是B类的活"，不清楚如何升级团队
  5. 企业Scaling遇到瓶颈，疑似人才问题 — 业务想扩张但组织能力跟不上，不知道是战略问题还是人的问题

语言信号 (用户的话里出现这些就应激活)

  • "这个人能不能用"
  • "怎么判断他是不是对的人"
  • "A类人才和B类人才放一起会怎样"
  • "战略很清楚但团队做出来不对"
  • "这个岗位到底谁来做最合适"
  • "部门之间打架，不知道听谁的"

与相邻 skill 的区分

  • 与 hire-for-culture-fit 的区别: hire-for-culture-fit专聚焦于"招聘时文化契合度 > 技能"这一判断标准，是本skill中"Right People"维度的深化。两者是包含关系，本skill是三层框架。
  • 与 will-values-results-skills 的区别: will-values-results-skills是招聘时的四维优先级判断工具，是本skill"Right People"维度的操作化。两者均来自同一上下文，互为补充。
  • 与 dumbest-in-room 的区别: dumbest-in-room聚焦于"CEO要甘愿被超越"的心态转变，本skill是三层诊断框架，范围更广。

E — 可执行步骤 (Execution)

当 skill 被激活后，agent 应按以下步骤执行:

  1. 三维诊断现状

    • 完成标准：绘制"人-事-方式"三维度现状矩阵，识别出三个维度中哪个最薄弱
    • 工具：提供诊断问卷（每维度3题），用户自评
    • 判停条件：若三维均无明显缺口，则此skill不适用，需转向其他 Scaling 障碍诊断

  2. 优先修复最薄弱维度

    • 若 Right People 最弱 → 启动 Topgrading 序列面试 + 文化契合度评估
    • 若 Right Things 最弱 → 重审季度优先级（是否超过3个），用 One-Phrase Strategy 压缩
    • 若 Right Way 最弱 → 明确 Brand Promise Guarantee，将服务标准行为化

  3. 建立持续校准机制

    • 完成标准：每季度做一次"三维体检"，防止退回到低质量均衡
    • 配套：月度一对一中的"做对的事"对话模板

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 纯招聘流程咨询：用户只是想优化招聘JD或面试问题清单，而不涉及组织层面的"人-事-方式"诊断——应调用hire-for-culture-fit或topgrading等专项skill
  • 个人职业选择：用户讨论的是自己要不要跳槽、要不要转型，与组织Scaling无关
  • 战略模糊阶段：企业连战略方向都不清楚，此时讨论"Right Things"是无根之木——应先解决strategy-two-tests或bhag-25year

作者在书中警告的失败模式

  • Wrong People + Wrong Way + Wrong Things三角陷阱：当三者同时出错时，企业倾向于用更多会议、更多流程来弥补，实际上只会增加复杂度——B/C类人才越管越乱
  • "差不多"心态：Right People的定义模糊，导致大量B类人才被当作Right People留在组织里——文化稀释是不可逆的

作者的盲点 / 时代局限

  • Harnish的"Right People"框架假设市场上有充足的A类人才供给，对于特定细分行业（如硬科技、制造业技术岗）可能不适用
  • "对的方式"（Right Way）的定义在书中主要面向服务业，对于制造业、制造业+服务混合业务，具体化 Brand Promise Guarantee 的难度被低估

容易混淆的邻近方法论

  • "把对的人放在对的位置"（Good to Great）：Collins强调的是"先有人再有方向"，Harnish更强调三者的同步性——不是顺序决策而是同时满足
  • RACI矩阵：RACI解决的是"谁做决策"，本skill解决的是"做的人对不对、做的事对不对、做的方式对不对"，维度更根本
  • Core Values考核：Core Values考核是判断"Right People"的方法之一，但本身不能替代三维框架；仅考核文化而不审视"Things"是否与Core Values对齐，同样会失效

相关 skills (阶段 3 填充)

  • depends-on: {}
  • contrasts-with: {hire-for-culture-fit, will-values-results-skills, dumbest-in-room}
  • composes-with: {}

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 Right People Right Things AI skill do?

当用户在人才选用育留问题上纠结、团队结构混乱、关键岗位用错人、 或在问"怎么判断一个人是否适合我们"时，应调用此skill。 当用户只是在做纯信息查询，或讨论的是与组织Scaling无关的个人职业选择时， 不调用此skill。 Trigger信号："这个人能不能用"、"团队里谁该做什么"、"招人总看走眼"、 "A类人才和B类人才怎么搭配"。

Why use Right People Right Things on TypingMind?

Because you install it once and use it with any model. Right People Right Things 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 Right People Right Things in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/right-people-right-things. 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 Right People Right Things?

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 Right People Right Things?

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

Is the Right People Right Things 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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