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Routine Sets You Free

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ace3000chao
routine-sets-you-free

当用户发现自己或团队有目标但始终无法落地、总是"知道但做不到"、 年初立flag年末打脸时,应调用此skill。 当用户只是好奇了解"习惯"概念或进行日常闲聊式查询时,不调用此skill。 Trigger信号:用户说"我知道要做什么,但就是做不到"、"目标定了总是完不成"、 "道理都懂但执行力差"、"想培养习惯但坚持不下来"。

Overview

Publisherace3000chao
Repositorybook2startup
Skill nameroutine-sets-you-free
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 Routine Sets You Free 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/routine-sets-you-free
  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/routine-sets-you-free .claude/skills/routine-sets-you-free
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Routine Sets You Free 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 Routine Sets You Free 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 Routine Sets You Free 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.

Routine Sets You Free(习惯使人自由)

R — 原文 (Reading)

"Routine sets you free. Goals without routines are wishes; routines without goals are aimless."

— Verne Harnish, Scaling Up, 第1章 Overview


I — 方法论骨架 (Interpretation)

Scaling的核心执行机制不是目标,而是习惯(Routine)。没有习惯支撑的目标只是"愿望清单"。

什么是习惯体系? 企业需要建立三层习惯架构:

  1. 日习惯:个人层面的关键行为(如晨间复盘)
  2. 周习惯:团队层面的同步节奏(如周一站会、周五复盘)
  3. 月/季习惯:组织层面的战略对齐(如季度主题聚焦)

为什么习惯比目标更重要? 目标告诉你"去哪",习惯确保你"每天都走一步"。一个人可以靠意志力完成一个目标,但一家Scaling企业必须靠习惯体系持续运转——因为CEO不可能事事盯着。

核心逻辑: 习惯 = 目标的复利工具。每日微行动在时间维度上产生指数级积累,填补"知道"与"做到"之间的鸿沟。


A1 — 书中的应用 (Past Application)

案例 1: Rockefeller Habits 的日/周节奏

  • 问题: 企业高管忙于救火,战略目标被日常事务所淹没
  • 方法论的使用: Harnish从John Rockefeller的案例中提炼出"Routine + Goal"双轨系统:
    • 日:晨间15分钟"IDP"(Individual Daily Plan)
    • 周:周一1小时"Execution Review"审视关键指标
  • 结论: 把战略优先级嵌入日常行为节奏,目标才不会沦为空想
  • 结果: 采用该体系的企业客户,关键任务完成率提升显著

案例 2: 一页纸周例会模板

  • 问题: 会议低效,团队讨论发散但无产出,战略无法落地
  • 方法论的使用: 设计标准化周例会节奏:
    • 数据回顾(上周KPI)
    • 本周 Priorities(≤3项)
    • 障碍识别(Blockers)
    • 每周一个"Stop"项
  • 结论: 固定节奏让团队在忙碌中仍保持战略聚焦
  • 结果: 会议时间缩短,战略相关议题占比从20%提升至60%+

案例 3: Scaling Lab 客户的季度习惯轮换

  • 问题: 同时引入多个Rockefeller Habits,团队精力分散,全部浅尝辄止
  • 方法论的使用: 每季度只选择1-2个新习惯进入"安装期",给予24-36个月消化:
    • Q1:日站会 + 周数据审视
    • Q2:季度主题 + 月度战略复盘
    • Q3:一对一教练反馈
    • Q4:全面预算 + BHAG校准
  • 结论: 慢即是快,每次聚焦1-2个才能真正内化
  • 结果: 习惯内化率从不足30%提升至70%+

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 战略目标清晰但团队执行掉链子 — 公司定了增长目标,季度末却发现什么都没推进,CEO困惑"目标又没完成"
  2. 个人时间管理失效 — 创业者个人忙碌但重要的事总被紧急事务挤掉,想要建立更有纪律的工作节奏
  3. 团队文化松散、缺乏节奏感 — 团队成员各自为战,没有共同的行动节奏和信息同步机制
  4. 新习惯推行失败 — 试过各种方法培养习惯(OKR/晨间流程/复盘模板),都坚持不过两周
  5. 企业发展到一定规模后效率反而下降 — 人员增加但产出没相应增加,组织失去创业初期的敏捷性

语言信号 (用户的话里出现这些就应激活)

  • "我知道要做什么,但就是做不到"
  • "目标定了总是完不成"
  • "道理都懂但执行力差"
  • "想培养习惯但坚持不下来"
  • "团队各自为战,缺乏协同节奏"
  • "每天很忙但不知道在忙什么"

与相邻 skill 的区分

  • 与 habits-quarterly 的区别: routine-sets-you-free聚焦于习惯的价值和必要性("为什么要有习惯"),而habits-quarterly聚焦于习惯的推行节奏("每次推几个、多久轮换")。前者是认知层,后者是执行层。
  • 与 priority-fewer-better 的区别: priority-fewer-better聚焦于"做什么"(优先级的选择),本skill聚焦于"如何持续做到"(习惯的执行机制)。一个定位方向,一个驱动行动。

E — 可执行步骤 (Execution)

当 skill 被激活后,agent 应按以下步骤执行:

  1. 诊断习惯缺口

    • 完成标准:识别出用户在"日/周/月"三层节奏中的具体缺口,并列出当前已有哪些习惯(哪怕非正式)
    • 判停条件:若用户已有完整的日/周/月习惯体系,则跳到步骤3
  2. 设计最小习惯对

    • 完成标准:根据用户当前最薄弱的环节,从日(个人效率)、周(团队对齐)、月(战略校准)中各选1个,形成"日+周"最小习惯对
    • 注意:不要超过2个新习惯同时推行
  3. 设定节奏追踪机制

    • 完成标准:建立可视化的习惯追踪系统(看板/共享文档/仪表盘),并约定每周复盘一次
    • 判停条件:若用户在追踪机制上缺乏技术条件,提供纸质版备选方案

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 纯信息查询:用户只是想了解"什么是习惯"或"Scaling Up讲了什么",而非解决执行问题——直接给出定义即可,不需要完整执行E段
  • 急性危机处理:企业正面临现金流断裂、核心员工离职等紧急危机,此时应先解决危机,习惯建设不是优先项
  • 个人生活情境:用户讨论的是与工作/商业无关的生活习惯(如健身、阅读),此skill专为企业Scaling场景设计

作者在书中警告的失败模式

  • 同时推行超过3个新习惯,团队产生"习惯疲劳"——这是最常见的失败原因,Harnish明确说"you'll drive everyone crazy"
  • 只建立习惯但没有与目标对齐,导致习惯本身失去意义——"routines without goals are aimless"
  • CEO自己不定闹钟、不带头执行,却要求团队培养习惯——领导者的示范是习惯落地的必要条件

作者的盲点 / 时代局限

  • Harnish写作时假设企业有固定办公场所,现代远程/混合团队需要将习惯体系数字化迁移,他对这一情境的讨论有限
  • "24-36个月安装一个习惯"的节奏在快速变化的创业环境中可能过于保守,对于冲刺期的高速成长企业未必适用

容易混淆的邻近方法论

  • OKR:OKR是目标框架,告诉你设定什么目标;本skill是执行机制,告诉你如何让目标每天被推进。OKR解决"定什么",本skill解决"怎么做"。
  • GTD(Getting Things Done):GTD是个人时间管理方法,聚焦于任务捕获和消除精神压力;本skill聚焦于组织层面的集体节奏和行为内化。GTD是个人系统,本skill是团队系统。
  • 习惯追踪App(如Habitica):这些工具解决"追踪可见性"问题,但本skill强调的是习惯的社会性——通过周例会等集体节奏让习惯成为团队文化,而非个人打卡行为。

相关 skills (阶段 3 填充)

  • depends-on: {}
  • contrasts-with: {habits-quarterly, priority-fewer-better}
  • 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 Routine Sets You Free AI skill do?

当用户发现自己或团队有目标但始终无法落地、总是"知道但做不到"、 年初立flag年末打脸时,应调用此skill。 当用户只是好奇了解"习惯"概念或进行日常闲聊式查询时,不调用此skill。 Trigger信号:用户说"我知道要做什么,但就是做不到"、"目标定了总是完不成"、 "道理都懂但执行力差"、"想培养习惯但坚持不下来"。

Why use Routine Sets You Free on TypingMind?

Because you install it once and use it with any model. Routine Sets You Free 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 Routine Sets You Free in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/routine-sets-you-free. 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 Routine Sets You Free?

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 Routine Sets You Free?

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

Is the Routine Sets You Free 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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