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F03 Stillness In Motion

Community
ace3000chao
f03 stillness-in-motion

当用户说"我只有在安静时才能平静"、"环境太吵了我根本静不下心"时调用。 也适用于:需要检验自己内心是否真正安定、主动进入嘈杂环境观察内心反应、识别"假平静"的情境。 不适用于:用户只是陈述客观事实("地铁很吵")而非内心困扰、需要专注完成任务而非检验心性。

Overview

Publisherace3000chao
Repositorybook2startup
Skill namef03 stillness-in-motion
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 F03 Stillness In Motion 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/菜根谭skills/skills/f03
  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.

Use it in TypingMind

Enable F03 Stillness In Motion 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 F03 Stillness In Motion 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 F03 Stillness In Motion 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.

动静皆静模型

R — 原文 (Reading)

"静中静非真静,动处静得来,才是性天之真境;乐处乐非真乐,苦中乐得来,才是心体之真机。"

— 洪应明, 菜根谭·动中真静 苦中真乐


I — 方法论骨架 (Interpretation)

真宁静不靠环境,靠心境。

这个框架的核心发现是:能在安静环境中保持平静,不算什么本事——那只能说明环境帮你屏蔽了干扰。真正的修行是"动中能静"——在喧闹、压力、变化中,内心依然不起波澜。安静时的平静是借来的,动中的平静才是自己的。

方法论本质:

  1. 区分两种静:环境静(外静)和心静(内静)。外静是条件,内静是能力。
  2. 检验标准:主动进入(或保持留在)嘈杂环境,观察自己内心是否被动摇。
  3. 修行的目标:不依赖外部条件,在任何环境中都能保持内心的安定。

一句话总结: 能在静中静,不稀奇;能在动中静,才是真本事。


A1 — 书中的应用 (Past Application)

案例 1: 乱世中的诸葛亮

  • 问题: 诸葛亮处于乱世,群雄割据、战事频繁,外部环境极度动荡,身边的谋士、将领们都在随波逐流。
  • 方法论的使用: 诸葛亮在辅佐刘备、面对曹军压境的巨大压力时,依然保持"宁静致远"的心境——草船借箭、借东风、空城计,都是在极端压力下依然保持冷静判断的体现。
  • 结论: 动中之静,才是真静。能在战乱中不慌乱、不躁动,才能做出正确的战略决策。
  • 结果: 诸葛亮的战略决策在历史上被称为神机妙算,他的"静"是在动中修炼出来的。

案例 2: 曾国藩"结硬寨打呆仗"

  • 问题: 曾国藩在太平天国战争初期屡战屡败,急躁冒进导致损失惨重。
  • 方法论的使用: 曾国藩痛定思痛后,总结出"结硬寨打呆仗"的策略——不求速成、不求奇计,在动荡的战场上保持"稳扎稳打"的心境,不被战场上的混乱和诱惑带走。
  • 结论: 在极端动乱(战场)中保持静定,不被"速胜"的欲望驱动,才是真正的内心安定。
  • 结果: 最终湘军平定太平天国,曾国藩的胜利来自"动中求静"的心性修炼。

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 依赖特定环境才能平静:用户说"我只有在清晨/图书馆/家里才能安静下来",这说明其平静依赖于特定环境,而非内心自生。
  2. 在嘈杂环境中效率骤降:需要专注工作/学习,但一旦有人在旁边说话、周围有动静,就完全无法集中,说明内心并未真正安定。
  3. 压力下情绪失控:平时看起来平静的人,在冲突、紧急情况、高压谈判中突然情绪爆发——这说明平时"平静"是假象。
  4. 需要检验自己的心性修养:用户想知道自己是否真的"内心安定",想找一种自我检验的方法。
  5. 回避特定环境:有人说"我不喜欢去菜市场/地铁/嘈杂的办公室,因为太吵"——回避本身就是一种标记,说明内心没有在动中静的把握。

语言信号 (用户的话里出现这些就应激活)

  • "我只有在安静时才能平静下来"
  • "地铁上/办公室里我完全静不下心"
  • "人一多我就烦躁"
  • "平时还好,但一有压力我就容易急躁"
  • "我知道应该冷静,但一急起来就做不到"
  • "我需要找个安静的地方才能想清楚"
  • "嘈杂的环境让我效率很低"

与相邻 skill 的区分

  • 与 f02(以我转物思维模型) 的区别:f02 解决"谁在控制我"的主客问题;f03 解决"我是否能在任何环境下都保持安定"的状态问题。f02 是立场,f03 是能力。
  • 与 f06(宠辱不惊情绪决策框架) 的区别:f06 针对得意/失意的情绪波动;f03 针对环境喧嚣/嘈杂的内心干扰。f06 是情志,f03 是心性。
  • 与 f19(忙里偷闲 闹中取静操作框架) 的区别:f19 是"如何在忙碌中偷闲"的具体操作;f03 是"如何检验内心是否真正安定"的诊断工具。

E — 可执行步骤 (Execution)

当 skill 被激活后,agent 应按以下步骤执行:

  1. 确认"静"的依赖条件

    • 完成标准: 明确说出"你的平静目前依赖哪些外部条件"(安静环境/独处/无干扰),并列出具体依赖项。
    • 判停条件: 若用户没有明显依赖(比如用户本来就能够在嘈杂环境中保持专注),则此skill不适用,标记为"已具备动中静的能力"。
  2. 主动进入"动中静"测试

    • 完成标准: 设计一个在嘈杂/有干扰的环境中保持专注的具体任务(如"在咖啡馆工作1小时"),记录内心的反应和干扰程度。
    • 判停条件: 若在测试中出现明显烦躁、抗拒,且无法在5分钟内重新平静,说明测试失败,需进入步骤3的"逐步训练"。
  3. 建立"不依赖外境的安定锚"

    • 完成标准: 让用户选择一个"内心锚点"(如呼吸、某个价值观、一个思考习惯),在感到被外部环境干扰时,用这个锚点把自己拉回来。
    • 判停条件: 若用户连续三次使用锚点仍无法平静,则提示"此skill需要长期修炼,建议配合冥想/正念练习"。

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 用户正在经历急性压力/创伤:此时要求其在混乱中保持平静是不现实的,甚至是有害的。应先稳定情绪,再谈心性修炼。
  • 用户有注意力缺陷/神经多样性特质:有些人的大脑结构本身就更易受环境干扰,这不是"修行不够",而是神经系统的差异。此框架不适合用来自我批判。
  • 用户正在做需要高度专注的技术性工作(如驾驶、精密操作):这种情况下需要环境安静,不是"修行动中静"的好时机。

作者在书中警告的失败模式

  • 躁性偾事(ce09):性躁心粗者一事无成,表现为做事总是很着急、不愿在细节上下功夫、情绪波动大。表面看是急躁,深层是内心无法在压力下保持安定。
  • 器小禄薄(ce14):心胸狭隘、念头迫促,斤斤计较于眼前小利。心胸狭窄者做事总是急匆匆的,因为他们无法在动荡中保持平静,只能用忙乱来应对。

容易混淆的邻近方法论

  • "动中静" vs "压抑情绪":动中静是内心有空间容纳外界干扰而不被动摇;压抑情绪是假装没发生但内心积累更大波动。前者是能力,后者是病理。
  • "动中静" vs "对噪音麻木":有人对噪音"习惯"了,但内心其实是在躲避或抵触,只是没有表现出来。真正的动中静是"接纳但不跟随"——听到了噪音,但内心不被它牵走。

相关 skills (阶段 3 填充)

  • depends-on: []
  • contrasts-with: [f02, f06, f19]
  • composes-with: [f15, f16]

审计信息

  • 验证通过: V1 ✓ / V2 ✓ / V3 ✓
  • 测试通过率: N/A (待填充)
  • 蒸馏时间: 2026-04-24

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 F03 Stillness In Motion AI skill do?

当用户说"我只有在安静时才能平静"、"环境太吵了我根本静不下心"时调用。 也适用于:需要检验自己内心是否真正安定、主动进入嘈杂环境观察内心反应、识别"假平静"的情境。 不适用于:用户只是陈述客观事实("地铁很吵")而非内心困扰、需要专注完成任务而非检验心性。

Why use F03 Stillness In Motion on TypingMind?

Because you install it once and use it with any model. F03 Stillness In Motion 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 F03 Stillness In Motion in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/菜根谭skills/skills/f03. 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 F03 Stillness In Motion?

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 F03 Stillness In Motion?

As many as you like. As long as a model supports skills, you can use F03 Stillness In Motion with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the F03 Stillness In Motion 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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