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Shi Ji Deng Dai

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ace3000chao
shi-ji-deng-dai

基于《易经》需卦提炼的时机等待方法论。 适用于: 用户面临外部条件不成熟、贸然行动必然失败的困境;或处于安全期但隐约感到风险将至,需要主动进行风险预判与耐心布局。 不适用于: 危机已爆发需要立即反应的紧急情况;或等待本身就是拖延而非战略。 触发信号: "时机不对"、"再等等看"、"条件不成熟"、"好事多磨"、"隐忧"、"先观望"。

Overview

Publisherace3000chao
Repositorybook2startup
Skill nameshi-ji-deng-dai
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 Shi Ji Deng Dai 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/shi-ji-deng-dai
  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 Shi Ji Deng Dai 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 Shi Ji Deng Dai 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 Shi Ji Deng Dai 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.

时机等待法

R — 原文 (Reading)

"需,须也,险在前也。刚健而不陷,其义不困穷矣。" — 《易经》需卦·彖传

"需于郊,利用恒,无咎。" — 《易经》需卦·初九

"需于沙,小有言,终吉。" — 《易经》需卦·九二

"需于泥,致寇至。" — 《易经》需卦·六四


I — 方法论骨架 (Interpretation)

时机等待法是一种在外部条件未成熟时主动选择按兵不动、保存实力、等待时机的决策框架。核心逻辑是:前方有险,强行突进必然陷落;但刚健者不因此放弃,而是有层次地等待。

五层次等待框架:

  1. 需于郊(初九):离危险很远,可以保持稳定节奏,不必过度反应。适合长期战略观望期。
  2. 需于沙(九二):开始接近危险边缘,出现小的质疑和噪音,但大势仍然有利。保持定力,用结果说话。
  3. 需于泥(六四):危险已经很近,竞争对手(寇)已经开始逼近。保持警觉,减少暴露,不主动激化冲突。
  4. 需于血(九五):进入冲突区,付出代价,但最终因准备充分而有利。
  5. 需于酒食(上六):危险解除,丰收成果,举办酒席庆祝。

关键心法:不是消极等待,而是有层次、有警觉的等待。等待期间要做三件事:积蓄刚健之力(提升实力)、判断险在哪(识别风险源)、确认谁会陷落(观察竞争对手的失误)。


A1 — 书中的应用 (Past Application)

案例1: 文王囚于羑里七年

  • 问题: 商纣王将周文王囚禁于羑里,长达七年。文王若强行反抗,必被处死;但若就此沉沦,周族将失去领袖。
  • 方法论的使用: 文王判断自己处于"需于泥"阶段——危险已非常近(被囚),不能主动激化矛盾(反抗会导致杀身之祸)。他选择用"演卦"方式隐忍等待,在被囚期间深化对易理的思考,将危机转化为文化积累;同时向纣王展示"无害"的姿态,避免进一步加害。
  • 结论: 七年之后,纣王放松警惕,文王获释,且因学术成就获得了更高的政治声望。
  • 结果: 文王归周后加速整合西部诸侯,为武王伐纣奠定基础。七年等待换来数百年周室基业。

案例2: 周公东征后迁都洛邑

  • 问题: 武王伐纣后,周朝定都镐京,但镐京偏西,难以控制东方新征服的广大领土。成周(洛邑,今洛阳)是更合适的政治中心,但迁都兹事体大,诸侯疑虑,强行迁都可能引发叛乱。
  • 方法论的使用: 周公判断:都城偏西是结构性问题,但立即迁都政治条件不成熟(诸侯疑虑、军心未稳)。他先以"东征平叛"建立军事权威,再用"营建洛邑"展示诚意,最后在各方条件成熟后完成迁都。
  • 结论: 迁都不是一步到位,而是分阶段推进:军事胜利(清除障碍)→ 基建展示(创造吸引力)→ 政治说服(达成共识)。
  • 结果: 洛邑成为周朝稳定数百年的政治中心,东方诸侯归心,周朝完成真正的统一。

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 创业项目方向正确,但市场还没起来,团队和投资人都很焦虑,询问是否应该调整方向或坚持等待。
  2. 候选人面试终面后进入漫长决策期,公司没有立刻发offer,不知道是应该催促还是继续等待。
  3. 创业者看到行业机会,但自身资源不足,行业巨头已入场,想知道应该正面竞争还是等待细分机会。
  4. 企业进行战略转型,新业务模式还在验证,但旧业务现金流仍在支撑,新旧业务之间的节奏判断存疑。

语言信号(用户的话里出现这些就应激活)

  • "时机不对"
  • "再等等看"
  • "条件不成熟"
  • "好事多磨"
  • "隐忧"
  • "先观望"
  • "对手比我们强太多"
  • "市场还没到"
  • "我应该现在行动还是等?"

与相邻 skill 的区分

  • 与「德-位-匹-配-论」(f04)的区别: 德位匹配论问的是"我有没有能力承接这个位置"(内部能力诊断),时机等待法问的是"外部条件是否已经成熟"(外部环境诊断)。德位问题要先修己,等待法问题要先观外。
  • 与「变-革-创-新-论」(f06)的区别: 变革创新论强调主动打破局面,时机等待法强调在条件未成熟时保持克制。两者对立统一:等待是为了更好的变革时机,变革是等待之后的行动出口。

E — 可执行步骤 (Execution)

当 skill 被激活后,agent应按以下步骤执行:

  1. 判断当前处于哪一层次

    • 完成标准: 明确用户当前处境对应"郊/沙/泥/血/酒食"哪一层,结合距离危险的远近、压力大小、竞争者状态进行判断。
    • 判停条件: 若已进入"血"层(冲突已爆发,损失已产生),此skill已经不适用,需要启动危机处理或其他skill。
  2. 分析"险"的具体内容

    • 完成标准: 识别清楚前方风险究竟是什么(竞争对手、资金链断裂、政策变化、技术替代),以及风险的本质是"时机未到"还是"方向错误"。
    • 判停条件: 若险的本质是"方向错误"而非"时机未到",则不宜使用等待法,需要转向其他skill。
  3. 制定分层等待策略

    • 郊层: 保持战略定力,不为短期波动改变长期计划,定期评估外部条件变化。
    • 沙层: 减少噪音干扰,用小范围试点验证判断,积累正向证据;遇到质疑不急于反驳。
    • 泥层: 减少暴露,不主动挑衅,储备资源准备应对最坏情况,巩固核心支持者。
    • 完成标准: 输出包含"当前层次判断"+"风险识别"+"等待策略"+"触发条件(何时可以行动)"的分析报告。

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 危机已爆发:竞争对手已经出击、客户已经开始流失、监管已经介入,这时等待就是逃避而非战略,需要立即反应而非观望。
  • 等待本身就是问题:有些情境下犹豫不决是源于恐惧而非理性判断,分不清"战略性等待"和"拖延症"是两码事。当用户说"再等等"但没有任何具体的等待目标和触发条件时,不适用。
  • 资源耗尽:如果等待期间团队、资金、士气持续消耗,等待可能比行动更快拖垮组织,此时需要重新评估是否还有等待的本钱。

作者在书中警告的失败模式

  • 履霜坚冰至(坤卦初六):踩到霜就知道坚冰将至,警告时机判断者:风险信号出现时不要视而不见,要提前预判,不能因为当前还是"霜"就以为可以一直等待。真危机来临时毫无准备。核心教训:等待要有警觉性,不能盲目乐观。
  • 需于血之后如果判断错误:进入冲突区后若判断错误(误判敌我力量、误判市场时机),将在最危险的阶段付出最大代价。

作者的盲点 / 时代局限

  • 农耕文明的时间观:古代等待以"年"为单位,现代商业节奏以"月"甚至"周"计算。框架的层次感保留,但每个层次的持续时间需要根据现代节奏重新校准。
  • 冷兵器竞争模型:古代等待法考虑的是诸侯征伐、军事竞争,不完全适用于快速迭代的互联网行业——技术变革可能在等待期间彻底改变赛道,使原有的等待策略失效。

容易混淆的邻近方法论

  • 德位匹配论(f04):同样涉及"等",但德位论是等自身能力的成熟,等待法是等外部条件的成熟。混淆会导致:用户能力不足却以为是时机未到,结果浪费了本应投入自我提升的时间。
  • 变革创新论(f06):变革法强调主动推进,创业者容易在时机未成熟时以"变革"为名强行推动,最终因条件不足失败。关键区别:变革前必须先做时机诊断,条件不成熟时强行变革是灾难。

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 Shi Ji Deng Dai AI skill do?

基于《易经》需卦提炼的时机等待方法论。 适用于: 用户面临外部条件不成熟、贸然行动必然失败的困境;或处于安全期但隐约感到风险将至,需要主动进行风险预判与耐心布局。 不适用于: 危机已爆发需要立即反应的紧急情况;或等待本身就是拖延而非战略。 触发信号: "时机不对"、"再等等看"、"条件不成熟"、"好事多磨"、"隐忧"、"先观望"。

Why use Shi Ji Deng Dai on TypingMind?

Because you install it once and use it with any model. Shi Ji Deng Dai 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 Shi Ji Deng Dai in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/易经skills/shi-ji-deng-dai. 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 Shi Ji Deng Dai?

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 Shi Ji Deng Dai?

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

Is the Shi Ji Deng Dai 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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