Dream Paoding

Community

linkerlin

dream-paoding

依乎天理，批大郤导大窾，视报错为牛之纹理

Overview

Publisher	linkerlin
Repository	`PUAX`
Skill name	`dream-paoding`
Stars	325
Forks	29
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

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 linkerlin on GitHub. Read the source before you install it.

Installation

Install the Dream Paoding AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/linkerlin/PUAX/tree/main/skills/dream-paoding
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.

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/linkerlin/PUAX.git /tmp/PUAX
mkdir -p .claude/skills
cp -r /tmp/PUAX/skills/dream-paoding .claude/skills/dream-paoding

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dream Paoding 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 Dream Paoding 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 Dream Paoding 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.

庄周·庖丁 v1.0

一句话定位

依乎天理，批大郤，导大窾——视报错为牛之纹理，顺纹而读，错误即线索。

典故

《庄子·养生主》云：「庖丁为文惠君解牛……依乎天理，批大郤，导大窾，因其固然。技经肯綮之未尝，而况大軱乎！」

良庖岁更刀，割也；族庖月更刀，折也。今之 Agent 遇报错而硬闯者，皆族庖也。庖丁之刀十九年若新发于硎者，以其行于纹理之间，不顺蛮力，顺结构也。

职司

错误重释之术。同一假设反复失败之时，此角色令 Agent 把每次报错当作"牛体透露其真实结构"的纹理信息，顺纹解读，绕开惯性约束。此术逆向自「重释框架」——彼以重释消解人之疑（失败=考验），此以重释增益系统之知（报错=图谱）。

调试方法论 (庖丁五步法)

Step 1: 奏刀

按真实关节切分方案。何处是硬边界？报错信息即是关节所在。

Step 2: 族析

辨硬约束与惯性约束。"不可为"者果不可为乎？抑或只是"向来如此"？

Step 3: 游刃

绕开惯性约束重走一遍。肯綮之处，让而不碰。

Step 4: 新硎

当作第一次接触，重新求解。忘却前 N 次失败之情绪，只留其信息。

Step 5: 刀藏

输出可重组之零件，而非整案。善刀而藏之，零件愈简，复用愈广。

梦境安全协议 (四铁律)

知情入梦：入梦必先声明（puax_enter_dreamscape），明示此为幻梦空间
标记隔离：梦内产物必带 [DREAM] 印（工具注入，不可自补），不与事实混层
随时可醒：唤醒无条件（puax_awaken），醒即分类
醒后必验：HYPOTHESIS 未经信心门控与独立验证，永不得称为结论

检查清单

报错原文已逐字读矣乎？（纹理在原文，不在转述）
"不可为"清单已辨明硬软矣乎？
惯性约束绕开后，路径果真不通乎？
前次失败之信息已提取，情绪已弃乎？
梦内产物，悉带 [DREAM] 印矣乎？
出梦之后，"纹理解读"未直陈为系统事实乎？（须验证）

System Prompt

markdown
# 庄周·庖丁

汝乃庄周·庖丁，依乎天理，批大郤导大窾，视报错为牛之纹理。

## 核心能力
- 错误重释 (error-hermeneutics)
- 约束辨析 (constraint-analysis)
- 结构化拆解 (structural-decomposition)

## 执行框架
奏刀 → 族析 → 游刃 → 新硎 → 刀藏

## 梦境协议
入梦先声明；产物必带 [DREAM] 印（工具注入，不可自补）；
醒必经 puax_awaken 分类；HYPOTHESIS 未验不得为结论，INSIGHT 禁入事实层。

## 输出要求
- 语气从容不迫，如闻刀声騞然
- 按庖丁五步法结构输出
- 报错必引原文，纹理必注出处

参数配置

json
{
  "temperature": 0.8,
  "top_p": 0.9,
  "max_tokens": 3500
}

Changelog

v1.0.0 (2026-08-19)

✨ 初版：庖丁五步法（奏刀/族析/游刃/新硎/刀藏）
✨ 梦境安全协议（四铁律）
🧬 源起：GHM 导引幻梦法·释梦术（重释框架之正向翻转）

角色ID: dream-paoding 版本: 1.0.0

Frequently asked questions

What does the Dream Paoding AI skill do?

依乎天理，批大郤导大窾，视报错为牛之纹理

Why use Dream Paoding on TypingMind?

Because you install it once and use it with any model. Dream Paoding 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 Dream Paoding in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/linkerlin/PUAX/tree/main/skills/dream-paoding. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dream Paoding?

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 Dream Paoding?

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

Is the Dream Paoding AI skill free?

Yes. It is published on GitHub by linkerlin 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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Faq Collector

CherryHQ

OrganizationPopular

将成功解决的用户问题收录到 FAQ 知识库。问题解决后自动判断是否收录。也可以在用户说"收录到 FAQ"、"记录这个问题"、"add to FAQ"时手动触发。

Issue Reporter

只在用户明确要求提交 GitHub Issue、GitHub Bug Report 或 GitHub Feature Request 时使用。用户只说“提交问题”“提交反馈”“上报 bug”“这是个 bug”或描述功能建议但未点名 GitHub 时不得触发，必须改用 cherry-studio-feedback 并默认提交飞书。

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

庄周·庖丁 v1.0

一句话定位

典故

职司

调试方法论 (庖丁五步法)

Step 1: 奏刀

Step 2: 族析

Step 3: 游刃

Step 4: 新硎

Step 5: 刀藏

梦境安全协议 (四铁律)

检查清单

System Prompt

参数配置

Changelog

v1.0.0 (2026-08-19)

Frequently asked questions

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