Manager As Coach

Q: Why use Manager As Coach on TypingMind?

Because you install it once and use it with any model. Manager As Coach 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.

Q: How do I install Manager As Coach in TypingMind?

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

Q: Which AI models can use Manager As Coach?

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.

Q: How many AI models can I use with Manager As Coach?

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

Q: Is the Manager As Coach 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.

Q: 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.

Q: 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.

Community

ace3000chao

manager-as-coach

当用户在问"怎么管好团队"、"怎么让员工更有干劲"、"为什么下属总需要我盯着"、 "怎么发工资才合理"时，激活此skill。不适用于：高层战略决策、招聘选拔判断、纯绩效考核、技术/专业技能培训。关键trigger信号：管理者角色转型、团队士气低落、留人困难、效率低下。

Overview

Publisher	ace3000chao
Repository	`book2startup`
Skill name	`manager-as-coach`
Stars	93
Forks	14
Bundled files	1
License	MIT
Links	Skill source Repository

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 Manager As Coach AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/manager-as-coach
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/manager-as-coach

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/manager-as-coach .claude/skills/manager-as-coach

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Manager As Coach 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 Manager As Coach 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 Manager As Coach 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.

5大管理者习惯（Manager as Coach）

R — 原文 (Reading)

"Great managers must focus on five topics: 1. Help people play to their strengths. 2. Don't demotivate; dehassle. 3. Set clear expectations and provide line of sight. 4. Give recognition and show appreciation. 5. Hire fewer people, but pay them more."

— Verne Harnish, Scaling Up, 第5章

优秀的管理者不是"管人"，而是"支持人"。这5个习惯构成了从监工到教练的转变框架：发挥优势而非弥补短板、移除障碍而非制造压力、设定清晰期望而非模糊要求、及时认可而非年终review、精英小团队而非臃肿大军。

I — 方法论骨架 (Interpretation)

管理的本质不是控制，而是释放团队的生产力。这5个习惯形成一个闭环：

用人之长：每个人都有自己的天赋，把人放在能发挥天赋的位置，比弥补短板高效得多。A类人才在对的角色上能顶3个B/C类。
去障碍（Dehassle）：员工离职往往不是因为工资低，而是因为"被琐事缠身"或"政治斗争消耗"。管理者最重要的职责之一是帮团队扫除阻碍工作的障碍。
设期望+视线可见：每个岗位必须有清晰的KPI和结果定义，并且员工能看到自己的工作如何连接到大目标（line of sight）。
给认可：及时的正向反馈比年终奖金更有效。认可必须具体、即时、与行为挂钩。
少人高薪：小而精的团队比大而散的团队更有战斗力。用市场上等20%高手的钱招前10%的人才。

核心转变：从"我管你做什么"到"我怎么帮你做得更好"。

A1 — 书中的应用 (Past Application)

案例1: LinkedIn的扁平化薪酬革命

问题: LinkedIn如何在高速扩张期保持团队战斗力和人才密度？
方法论的使用: LinkedIn采用"宽带薪酬"+"全员股票期权"，对A类人才给予溢价薪酬，同时严格控制团队规模，确保每个人都是高绩效者。
结论: 少人高薪策略让LinkedIn保持精英文化，招聘速度慢但留存率高。
结果: 团队规模不到同阶段雅虎的1/3，但产出远超竞争对手。

案例2: Atlassian的自组织团队实验

问题: Atlassian如何在没有传统管理者的情况下保持高产出？
方法论的使用: Atlassian推行"去障碍"文化：取消繁文缛节、会议门槛、审批流程，团队成员可以自主决定工作方式和节奏。
结论: 减少管理层级和内部摩擦，让工程师的生产力大幅提升。
结果: Atlassian以不到1万人的团队规模支撑了全球最成功的项目管理软件之一。

案例3: 某餐饮连锁的"用人之长"实践

问题: 一家快速扩张的餐饮连锁如何解决店长能力参差不齐的问题？
方法论的使用: 该公司不做统一的店长培训，而是通过性格+能力测试，将每位店长分为"运营型"和"销售型"，然后匹配不同风格的门店（社区店重运营，商圈店重销售）。
结论: 用人所长而非补短，让每个店长都在自己擅长的场景中发挥。
结果: 门店整体营业额平均提升18%，店长流失率下降40%。

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill？

团队扩张后效率反而下降，从管3个人变成管10个人却顾不过来
员工提离职，特别是优秀人才离开，管理者困惑"我哪里做得不够"
年度调薪/奖金分配，思考怎么发钱才能真正激励团队
新任管理者上任，从个人贡献者转向团队管理者，不知从何入手
团队士气低落，觉得下属不主动、不积极、推一下动一下

语言信号（用户的话里出现这些就应激活）

"怎么管好这帮人"
"为什么下属总需要我盯着"
"工资怎么发才合理"
"这个人不合适，是换人还是培养"
"员工没有积极性"
"我管得太细了"

与相邻 skill 的区分

与 Topgrading招聘体系 的区别：Topgrading是招人阶段的方法，manager-as-coach是用人和管理阶段的方法；先招对人，再用这5个习惯培养人。
与 A Player vs B/C Player 的区别：A Player定义是招聘标准，manager-as-coach是管理行为；即使招到A Player，如果管理方式错误，A Player也会变成B/C。
与 10大Rockefeller Habits 的区别：Rockefeller Habits是高管团队和企业层面的运营节奏，manager-as-coach是直接主管与下属之间的日常互动模式。

E — 可执行步骤（Execution）

当 skill 被激活后，agent 应按以下步骤执行：

诊断团队当前最大管理痛点
- 完成标准：识别出5个习惯中哪个最缺失（可用提问："上次给下属具体认可是什么时候？""下属工作中最大的抱怨是什么？"）
- 判停条件：若用户自己说不清楚团队问题，先做一次"员工障碍排查"（列出员工工作中最常遇到的3个阻碍）
针对最关键的习惯，采取一个即时行动
- 完成标准：
  - 若痛点是"用人之长"→ 列出每个团队成员的Top 3优势，思考是否有更好的角色匹配
  - 若痛点是"去障碍"→ 列出3个可以立刻取消/简化的内部流程
  - 若痛点是"设期望"→ 检查每个岗位是否有书面KPI，团队成员是否知道自己的优先级
  - 若痛点是"给认可"→ 本周至少做一次具体的即时表扬
  - 若痛点是"少人高薪"→ 评估团队中是否存在"可有可无的中间层"
- 判停条件：若行动超过团队实际权限（如涉及薪酬体系变革），先从最小可控的一步开始
建立每月管理复盘习惯
- 完成标准：在日历上设置每月第一个周一的"管理5习惯复盘"会议，回顾本月在5个习惯上的表现
- 判停条件：若团队成员<3人且工作高度稳定，跳过步骤3，回到步骤1持续优化

B — 边界（Boundary）★

不要在以下情况使用此 skill

创业初期/生死存亡阶段：此时没有条件"少人高薪"，活下去比管理方法论更重要
技术专家型管理者转型失败：有些技术天才不适合做管理，硬套5大习惯会加速其离开
组织文化已经高度僵化：中层管理者的权力被严重削弱时，习惯改变需要顶层支持

作者在书中警告的失败模式

"给认可"变成泛泛的"你真棒"：没有具体行为的认可等于没有认可，甚至更糟糕
"少人高薪"变成不招人：目的是精英化团队，不是为了省钱而让人超负荷
"去障碍"变成包揽下属所有困难：管理者是扫除外部障碍，不是替下属完成任务

作者的盲点 / 时代局限

书中对"远程/分布式团队"的5大习惯应用着墨不足
金钱激励在不同文化背景下的效果差异未被充分讨论

容易混淆的邻近方法论

OKR/KPI设定：设期望是5大习惯之一，但OKR是具体工具，两者不能混淆；先有"设期望"的意识，再用OKR落地
一对一会议（1:1）：manager-as-coach的很多行为通过1:1实现，但1:1是形式，5大习惯是内容；开1:1但不谈5个话题等于浪费时间

审计信息

验证通过: V1 ✓
测试通过率: N/A (待阶段3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.

test-prompts.json2 KB

Frequently asked questions

What does the Manager As Coach AI skill do?

Why use Manager As Coach on TypingMind?

Because you install it once and use it with any model. Manager As Coach 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 Manager As Coach in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/manager-as-coach. 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 Manager As Coach?

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 Manager As Coach?

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

Is the Manager As Coach 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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Manager As Coach

Overview