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Personalize By Constitution

Community
dhicoc
personalize-by-constitution

用户需要为不同的人/场景定制方案时; 当"一刀切"方案失效时; 当需要根据个体差异(体质/能力/偏好)调整参数时。 不适用于: 标准化流程不需要定制的场景、群体层面的统一方案。

Overview

Publisherdhicoc
Repositorywuyun-liuqi-skills
Skill namepersonalize-by-constitution
Stars
52
Forks
10
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by dhicoc on GitHub. Read the source before you install it.

Installation

Install the Personalize By Constitution 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/dhicoc/wuyun-liuqi-skills/tree/master/scripts/lib/neijing_snapshot/lingshu/personalize-by-constitution
  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/dhicoc/wuyun-liuqi-skills.git /tmp/wuyun-liuqi-skills
mkdir -p .claude/skills
cp -r /tmp/wuyun-liuqi-skills/scripts/lib/neijing_snapshot/lingshu/personalize-by-constitution .claude/skills/personalize-by-constitution
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Personalize By Constitution 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 Personalize By Constitution 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 Personalize By Constitution 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.

因人施术原则

R — 原文 (Reading)

年质壮大, 血气充盈, 肤革坚固……深而留之。 瘦人者, 皮薄色少, 肉廉廉然, 薄唇轻言……浅而疾之。 婴儿者, 其肉脆, 血少气弱……以豪刺, 浅刺而疾拔针。 古之善用针艾者, 视人五态乃治之。

— 黄帝/岐伯, 逆顺肥瘦第三十八、通天第七十二


I — 方法论骨架 (Interpretation)

因人施术是一个根据个体差异调整方案参数的决策框架。

  1. 识别差异维度: 哪些个体差异会影响方案效果? 灵枢关注: 体质(肥/瘦/壮/弱)、年龄(老/壮/少/婴)、人格(五态)、社会身份(布衣/王公)。不同维度对应不同的参数调整。

  2. 参数因人而异: 同样的方案框架, 关键参数(深度、速度、强度、频率)必须因人而异。肥人深留、瘦人浅疾、婴儿最浅最快——方向相同但参数不同。

  3. 匹配而非标准化: "因适而为之真"——最匹配个体特点的方案才是最好的, 而不是"标准方案"最好。

  4. 先观察后调整: 必须先通过"司外揣内"识别个体特点, 然后据此调整, 不能凭主观臆断。


A1 — 书中的应用 (Past Application)

案例 1: 肥瘦壮弱的参数差异

  • 问题: 同样的针刺, 不同体质需要什么不同的参数?
  • 方法论的使用: 肥人(血浊气涩)→深而留之多益其数; 瘦人(血清气滑)→浅而疾之; 常人→无失常数; 壮士(重)→深而留; 壮士(劲)→浅而疾; 婴儿→浅而疾拔, 日再可。
  • 结论: 六种体质, 六套参数。参数差异来自气血的"滑/涩"和"强/弱"。
  • 结果: 每种体质都获得了最匹配的方案, 避免了"一刀切"的无效或伤害。

案例 2: 王公与布衣的不同

  • 问题: 社会阶层不同的患者, 刺法是否不同?
  • 方法论的使用: "膏梁菽藿之味, 何可同也?"王公大人身体柔脆、气血慓悍滑利, 需要"微以徐之"。布衣匹夫血气沉涩, 需要"深以留之"。
  • 结论: 生活方式(饮食/运动)塑造体质, 体质决定方案参数。
  • 结果: 不以"相同方案"为公平, 而以"最匹配方案"为公平。

A2 — 触发场景 (Future Trigger) ★

  1. 标准化方案失效: 同样的方案对A有效对B无效, 需要因人而异。
  2. 参数调整: 方案框架正确但效果不理想, 需要微调参数。
  3. 团队管理: 需要根据不同成员的能力和风格分配不同任务。

语言信号

  • "同样的方法为什么对别人有效对我不行"
  • "一刀切方案行不通"
  • "不同的人需要不同的对待"
  • "怎么根据实际情况调整"

E — 可执行步骤 (Execution)

  1. 识别影响效果的差异维度

    • 列出可能影响方案效果的个体特征(能力/经验/偏好/资源)。
    • 完成标准: 至少识别出2个关键差异维度。
  2. 建立差异-参数映射

    • 每个差异维度如何影响方案的关键参数(深度/速度/强度/频率)?
    • 完成标准: 明确的映射表, 差异→参数调整方向。
  3. 定制方案

    • 根据映射关系, 调整方案参数, 生成定制化版本。
    • 完成标准: 至少1个关键参数被调整, 并说明调整理由。

B — 边界 (Boundary) ★

不要在以下情况使用

  • 标准化优先: 有些场景(如安全规程)确实需要标准化, 个性化可能导致安全风险。

失败模式

  • 过度个性化: 每个人都不同不等于每个人都需要完全不同的方案, 关键是识别影响效果的差异维度。
  • 刻板印象: 把外貌/身份直接等同于能力, 而不是通过实际观察判断。

审计信息

  • 验证通过: V1 ✓ / V2 ✓ / V3 ✓
  • 测试通过率: {{%}} (详见 test-prompts.json)
  • 蒸馏时间: {{DATE}}

Frequently asked questions

What does the Personalize By Constitution AI skill do?

用户需要为不同的人/场景定制方案时; 当"一刀切"方案失效时; 当需要根据个体差异(体质/能力/偏好)调整参数时。 不适用于: 标准化流程不需要定制的场景、群体层面的统一方案。

Why use Personalize By Constitution on TypingMind?

Because you install it once and use it with any model. Personalize By Constitution 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 Personalize By Constitution in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dhicoc/wuyun-liuqi-skills/tree/master/scripts/lib/neijing_snapshot/lingshu/personalize-by-constitution. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Personalize By Constitution?

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 Personalize By Constitution?

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

Is the Personalize By Constitution AI skill free?

Yes. It is published on GitHub by dhicoc 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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