TypingMindTypingMindThe best frontend for AI
Communicate Persuade logo

Communicate Persuade

Community
dhicoc
communicate-persuade

用户需要说服不配合的人接受建议时; 当面对"骄恣从欲"的强势对象时; 当需要将复杂建议转化为对方愿意接受的方案时; 当需要在"尊重对方意愿"和"坚持正确方向"之间找平衡时。 不适用于: 纯信息传递不需要说服的场景、对方已完全配合的场景。

Overview

Publisherdhicoc
Repositorywuyun-liuqi-skills
Skill namecommunicate-persuade
Stars
52
Forks
10
Bundled files
Instructions only
LicenseMIT
Links
Skill sourceRepository
  • 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 Communicate Persuade 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/communicate-persuade
  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/communicate-persuade .claude/skills/communicate-persuade
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Communicate Persuade 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 Communicate Persuade 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 Communicate Persuade 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.

师传顺志法: 四步沟通术

R — 原文 (Reading)

入国问俗, 入家问讳, 上堂问礼, 临病人问所便。 人之情, 莫不恶死而喜生, 告之以其败, 语之以其善, 导之以其所便, 开之以其所苦。 虽有无道之人, 恶有不听者乎?

— 黄帝/岐伯, 师传第二十九

I — 方法论骨架 (Interpretation)

师传顺志法是一个用于说服不配合对象的四步沟通框架。

  1. 先了解对方: "入国问俗, 入家问讳, 上堂问礼, 临病人问所便"——进入任何情境先了解对方的文化、禁忌、礼仪和偏好。不理解对方就无法有效沟通。

  2. 四步劝导法:

    • 告以败(说明危害): "告之以其败"——先让对方看到不改变的后果。
    • 语以善(讲清好处): "语之以其善"——然后说明改变后的正面结果。
    • 导以便(引导可行路径): "导之以其所便"——提供对方容易执行的方案。
    • 开以苦(解除痛苦): "开之以其所苦"——消除对方执行时的顾虑和障碍。

  3. 人性是切入点: "人之情, 莫不恶死而喜生"——所有人都趋利避害, 这是沟通的基础。无论对方多么"无道", 只要找到其趋利避害的节点, 就能说服。

  4. 尊重对方意愿: 不是强加方案, 而是"顺其志"——在尊重对方意愿的前提下引导。"春夏先治其标, 后治其本; 秋冬先治其本, 后治其标"——根据不同情况调整策略顺序。

A1 — 书中的应用 (Past Application)

案例 1: 劝说骄恣的王公大人

  • 问题: 王公大人"骄恣从欲轻人", 不听劝, 禁之则逆其志, 顺之则加其病, 怎么办?
  • 方法论的使用: 用四步法: 告以败(说明继续放纵的后果)→语以善(说明调整的好处)→导以便(提供不痛苦的可执行方案)→开以苦(解除其顾虑)。
  • 结论: 即使是最不配合的人, "虽有无道之人, 恶有不听者乎?"——只要方法得当, 没有人不听。
  • 结果: 通过尊重其意愿的同时引导其行为, 实现了"顺"与"治"的统一。

案例 2: 寒热饮食相反的处理

  • 问题: 胃欲寒饮, 肠欲热饮, 两者相逆, 怎么办?
  • 方法论的使用: "食饮衣服, 亦欲适寒温, 寒无凄怆, 暑无出汗"——不是强行统一, 而是找到一个双方都能接受的中间地带。核心是"适"(适度), 不是"禁"(禁止)。
  • 结论: 当对立需求无法同时满足时, 不选边站, 而是找到"适"的平衡点。
  • 结果: "寒温中适, 故气将持, 乃不致邪僻也。"

A2 — 触发场景 (Future Trigger) ★

  1. 说服强势对象: 面对上级/客户/家人的强势反对, 需要有效说服。
  2. 行为改变推动: 需要推动某人改变习惯/行为, 但对方不配合。
  3. 需求冲突调解: 两个对立需求无法同时满足, 需要找到平衡方案。

语言信号

  • "怎么说服不听劝的人"
  • "对方不配合怎么办"
  • "道理都讲了, 就是不听"
  • "怎么让对方自愿接受"

E — 可执行步骤 (Execution)

  1. 先了解对方

    • "临病人问所便"——了解对方的偏好、禁忌、顾虑和真正关心的是什么。
    • 完成标准: 列出对方的核心关切和底线。

  2. 告以败: 说明不改变的后果

    • 用对方能理解的方式, 说明如果不改变, 会发生什么对其不利的事。
    • 完成标准: 后果具体、可感知, 不是抽象的威胁。

  3. 语以善: 讲清改变的好处

    • 说明改变后对方能得到什么好处。好处必须与对方的核心关切挂钩。
    • 完成标准: 好处是对方想要的, 不是你以为好的。

  4. 导以便+开以苦: 提供可行路径并消除障碍

    • "导之以其所便"——给出对方容易执行的方案(降低执行门槛)。
    • "开之以其所苦"——逐一消除对方执行时的顾虑和障碍。
    • 完成标准: 方案的具体步骤+每个顾虑的应对策略。

B — 边界 (Boundary) ★

不要在以下情况使用

  • 对方已配合: 不需要说服的人不要过度使用说服技巧, 直接沟通即可。
  • 原则性对抗: 当问题涉及根本价值观冲突时, 沟通技巧可能不够, 需要制度/法律层面的解决。

失败模式

  • 恐吓过度: "告以败"变成恐吓, 反而激发对抗情绪。
  • 忽视对方需求: 只顾推销自己的方案, 不真正理解对方的需求和顾虑。

作者的盲点

  • 灵枢的四步法假设"人之情莫不恶死而喜生"——所有人都趋利避害。但现实中有些人确实存在自毁倾向或非理性决策, 四步法对此类情况可能无效。

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 Communicate Persuade AI skill do?

用户需要说服不配合的人接受建议时; 当面对"骄恣从欲"的强势对象时; 当需要将复杂建议转化为对方愿意接受的方案时; 当需要在"尊重对方意愿"和"坚持正确方向"之间找平衡时。 不适用于: 纯信息传递不需要说服的场景、对方已完全配合的场景。

Why use Communicate Persuade on TypingMind?

Because you install it once and use it with any model. Communicate Persuade 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 Communicate Persuade 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/communicate-persuade. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Communicate Persuade?

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 Communicate Persuade?

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

Is the Communicate Persuade 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.

Related AI Skills

View all
ruvnet logo

Adr Verify

ruvnet
CommunityPopular

Read back adr-patterns + adr-edges namespaces, surface dangling refs / supersede cycles / status mismatches; exit 1 on cycles

8.6K
72.7K
Instructions
View
ruvnet logo

Wasm Gallery

ruvnet
CommunityPopular

Browse, publish, and install WASM agents from the community gallery

8.6K
72.7K
Instructions
View
ruvnet logo

Browser Extract

ruvnet
CommunityPopular

Extract structured data via stored browser-templates or one-shot DOM queries, with mandatory AIDefence PII + prompt-injection gates before content reaches the model

8.6K
72.7K
Instructions
View
ruvnet logo

Browser Record

ruvnet
CommunityPopular

Open a named, traced browser session into an RVF cognitive container with a ruvector trajectory recording every action

8.6K
72.7K
Instructions
View

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇