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Fan Xing Fu Pan

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ace3000chao
fan-xing-fu-pan

基于《易经》复卦的"七日来复"与"不远复"哲学,提供7天周期性自检与早期纠偏的方法论。 适用于: 项目出现阶段性挫折后复盘、每周例行反思、决策失误后重新梳理思路、习惯性拖延者自我修正。 不适用于: 已形成稳定正向循环无需调整的情况、情绪极度低落需先恢复能量再分析、团队决策尚在执行中不宜中途否定。 关键trigger信号: 用户说"复盘"、"反思"、"哪里出了问题"、"总结一下"等。

Overview

Publisherace3000chao
Repositorybook2startup
Skill namefan-xing-fu-pan
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 Fan Xing Fu Pan 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/易经skills/fan-xing-fu-pan
  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 Fan Xing Fu Pan 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 Fan Xing Fu Pan 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 Fan Xing Fu Pan 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.

反省复盘法

R — 原文 (Reading)

"复,亨。出入无疾,朋来无咎。反复其道,七日来复,利有攸往。" "不远复,无祗悔,元吉。"

— 《易经》复卦


I — 方法论骨架 (Interpretation)

复卦的核心是"一阳复始"——剥尽纯阴之后,一阳重新生起,象征事物在衰落后重新恢复生机的过程。

"七日来复"不是机械的7天周期,而是强调:在合理的时间窗口内完成纠偏。时间太短则来不及沉淀教训,太长则问题累积成势。7天是一个经验值,核心是"不远复"——在偏离轨道不远时就能觉察并纠正,而非等到大错已铸才来后悔。

应用于创业决策:项目遇到挫折时,不应拖延复盘,也不应仓促下结论。关键是区分"假失败"(方向对但执行有偏差)与"真迷失"(方向根本错误需重新定位)。复盘的价值不在于追究责任,而在于提炼可操作的改进路径,让下一次决策质量更高。


A1 — 书中的应用 (Past Application)

案例1: 周公摄政后的反思

  • 问题: 周公辅政七年,平定管蔡之乱、营建东都,政治成就斐然。然而作为臣子摄政,始终面临"功高震主"的道德质疑与政治风险。
  • 方法论的使用: 周公以复卦"不远复"自省——趁自己尚在权力巅峰、尚未引发君主猜忌之前,主动提出归政成王。他没有等危机爆发才撤退,而是在风险尚远时就主动收敛。
  • 结论: 功成身退、以退为进,是"不远复"的最高体现——在问题尚无端倪时主动纠偏,而非等到灾难临头。
  • 结果: 周公得以善终,其治国理念延续,成王康王之治奠定周朝八百年基业。

案例2: 文王被囚羑里的七年

  • 问题: 周文王被殷纣王囚禁于羑里,长达七年之久,事业发展遭受毁灭性打击。
  • 方法论的使用: 文王在狱中并没有做无谓的正面冲突,而是借此时机推演伏羲八卦为六十四卦,完成《易经》的核心构建——将危机转化为深化的契机。
  • 结论: 逆境中的复盘不是否定自己,而是重新校准方向、深化认知。"复"之"亨"在于:真正通达的复盘能让你比被困前更强大。
  • 结果: 文王出狱后,方向更清晰、人心更凝聚,最终完成灭商大业。

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 项目阶段性受挫后:融资失败、产品上线反响不如预期、核心成员离职、关键合作破裂——需要系统复盘而非简单归因。
  2. 每周例行反思:希望建立稳定复盘习惯,在"无问题"时也定期检视方向是否偏移,而非等到出了大事才来救火。
  3. 决策失误后的思路重梳:发现自己某次决策明显有问题,需要冷静分析"哪里出了错、以后怎么改",而不是陷入自我否定或推卸责任。
  4. 习惯性拖延/回避问题者:总是推迟面对问题,积小成大,需要用结构化复盘强迫自己直面现实。

语言信号

  • "复盘一下"
  • "这事哪里出了问题"
  • "我需要反思一下"
  • "总结一下经验教训"
  • "这个决策是不是错了"
  • "现在回过头看……"

与相邻 skill 的区分

  • 与**积不善之余殃(ce04)**的区别: ce04强调持续作恶的累积后果,属预防性警示;本skill是事后的系统复盘与纠偏,ce04是"不要开始",本skill是"开始了就要检视"。
  • 与**守成戒贪法(f10)**的区别: f10强调守成期的节制;本skill强调复盘后的行动修正,不限于守成或进取阶段。

E — 可执行步骤 (Execution)

  1. 设立复盘锚点

    • 完成标准: 确定复盘的时间窗口(事件发生后24-72小时内启动,不超过7天);明确复盘是"为下次更好"而非"追究责任"
    • 判停条件: 若处于极度情绪化状态(愤怒、沮丧),先做5分钟深呼吸,必要时推迟到次日
  2. 还原事实层(剥去叙事)

    • 完成标准: 用3-5句话客观描述发生了什么,不含形容词和判断词;列出涉及的关键决策点、时间线和结果
    • 判停条件: 若事实还原过程中持续自我辩护("但是……"),记录情绪后强制切换到下一步
  3. 区分"假失败"与"真迷失"

    • 完成标准: 写下"如果重来一次,我会做哪1-2件事不同"(执行层面的改进);再写下"这件事暴露了我对什么判断有误"(认知层面的修正)
    • 判停条件: 若是"真迷失"(方向性错误),将问题升级,触发更大范围的方向重检
  4. 提炼可执行的动作

    • 完成标准: 产出一份"下次遇到同类情况,我这么做"的简短清单(3条以内),记录到可检索的位置
    • 判停条件: 若提炼不出可执行动作,说明复盘深度不足,返回第2步重新还原
  5. 归档与定期回顾

    • 完成标准: 将复盘结论存入固定位置(笔记或文档);在下一个复盘周期(周/月)开头回顾本次结论

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 已形成稳定正向循环:项目进展顺利、团队士气高涨,此时的复盘应更轻量(优点强化而非问题挖掘),避免过度反思反而制造焦虑。
  • 情绪极度低落时:抑郁症或焦虑症急性期的自我复盘容易滑入反刍思维,应先恢复能量再做结构化分析。
  • 团队决策尚在执行中:方向已定、正在推进,不宜中途全面否定,否则造成团队混乱。应等阶段性结果出来后再复盘。
  • 需要立即行动的紧急情况:危机当前首要的是止血而非反思,复盘应留待事后的专门时间。

作者在书中警告的失败模式

  • "迷复"——沉迷于过去的失败无法自拔:复卦同时警告"迷复,凶"。反复回顾错误、不断自我惩罚,是另一种迷失,与"不远复"的精髓背道而驰。复盘是为了向前走,不是向后挖坟。
  • "频复"——频繁更换方向缺乏积累:每次失败都换一个方向,最终什么都没有沉淀。真正的复盘应该让人比之前更坚定,而不是更迷茫。

作者的盲点 / 时代局限

  • 复卦的"七日"是西周历法中的周期概念(与月亮周期相关),在现代创业节奏中不一定是最优复盘周期,应根据业务节奏调整(可以是每日站会、每周迭代、每月回顾)。
  • 封建宗法背景下的"复"带有天命循环的色彩,应用于现代时应去除神秘化,保留其"周期性校准"的实用内核。

容易混淆的邻近方法论

  • 积不善之余殃(ce04):ce04强调预防与日常积累,本skill强调危机后的纠偏;一个是"别做",一个是"做了要检视"
  • 守成戒贪法(f10):f10是守成期的自我约束,本skill不限于特定阶段

审计信息

  • 验证通过: V1 ✓ / V2 ✓ / V3 ✓
  • 蒸馏时间: 2026-04-21
  • 来源: 阶段1.5 verified.md

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 Fan Xing Fu Pan AI skill do?

基于《易经》复卦的"七日来复"与"不远复"哲学,提供7天周期性自检与早期纠偏的方法论。 适用于: 项目出现阶段性挫折后复盘、每周例行反思、决策失误后重新梳理思路、习惯性拖延者自我修正。 不适用于: 已形成稳定正向循环无需调整的情况、情绪极度低落需先恢复能量再分析、团队决策尚在执行中不宜中途否定。 关键trigger信号: 用户说"复盘"、"反思"、"哪里出了问题"、"总结一下"等。

Why use Fan Xing Fu Pan on TypingMind?

Because you install it once and use it with any model. Fan Xing Fu Pan 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 Fan Xing Fu Pan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/易经skills/fan-xing-fu-pan. 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 Fan Xing Fu Pan?

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 Fan Xing Fu Pan?

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

Is the Fan Xing Fu Pan 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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