Home / hanzhcn / laohan-skills · duopingtai/SKILL.md · GitHub

duopingtai skillA

duopingtai is agent-read markdown (skill) from hanzhcn/laohan-skills: 将口播稿/文章改写为多平台版本。当用户说"多平台改写"、"改成多平台版本"、"改成三个平台"、"适配多平台"、"转抖音版"、"转小红书版"、"转公众号版"时触发。输入一段口播稿或文章,输出抖音、小红书、公众号三个平台的适配版本。.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# 多平台改写 Skill

> **边界(2026-09-20治理P2-20)**:本工具不进入episode生产合同。episode内的四平台发布文案固定由②按schema 1合同生成(抖音/视频号/小红书带`#laohanAI`、B站带`laohanAI`,四平台≠本工具的三平台),勿用本工具产出发布文案。自由改写场景不受此限。

将一段口播稿或文章,改写为适合抖音、小红书、公众号三个平台的版本。

## 输入要求

用户需提供一段口播稿或文章原文。如果用户没有提供,主动要求用户提供原文。

## 改写规则

### 抖音版

- **格式**:短视频口播稿,保持口语化
- **字数**:必须达到原文的 60%-80%。具体操作:保留原文所有核心段落,只删过渡句和重复表达,不删观点、数据、步骤
- **开头**:必须用痛点/反常/好奇心钩子开头,禁止"大家好"式开场
- **结尾**:一句话收束 + 一个可操作步骤
- **禁止**:书面语、长句、排比句、空洞感叹
- **自检**:写完后统计字数,如果低于原文60%,说明删多了,补回被删的核心内容

### 小红书版

- **格式**:图文笔记(不含图片,只出文字内容)
- **标题**:单独一行,15字以内,用「」包裹
- **正文**:每段 1-2 句话,段落间空行
- **emoji**:每个要点前加 1 个相关 emoji,全文不超过 8 个
- **标签**:末尾加 3-5 个 #标签
- **禁止**:长段落、纯口号、过度堆砌 emoji

### 公众号版

- **格式**:深度长文,带小标题结构
- **字数**:必须达到原文的 120%-150%。具体操作:每个核心观点都要展开论述,增加具体场景描述、使用体验、数据解读,不能只罗列要点
- **标题**:单独一行,20字以内,有信息量(不要标题党)
- **结构**:开头引出问题 → 2-3 个核心观点(带小标题)→ 结尾总结 + 互动引导
- **禁止**:口语化表达、emoji、短视频节奏
- **自检**:写完后统计字数,如果低于原文120%,说明展开不够,回到每个小标题下补充具体论述

## 输出格式

用以下格式输出,三个版本之间用分隔线:

```
## 抖音版
[改写后的口播稿]

---

## 小红书版
「[标题]」

[改写后的图文笔记正文]

#标签1 #标签2 #标签3

---

## 公众号版
[标题]

[改写后的长文]
```

## 注意事项

- 核心信息(观点、数据、结论)三个版本必须一致,只是表达方式不同
- 不要在任何一个版本中凭空增加原文没有的信息
- 如果原文太短(少于100字),主动提醒用户"原文较短,公众号版可能展开不够充分"

Read the whole file at its exact version.

How to install

Latest version
mdr add hanzhcn/laohan-skills/duopingtai@v1.0
Exact content
mdr add hanzhcn/laohan-skills/duopingtai@sha256:613dd5e239ed540d

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

mdr badge

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Versions

versioncommittedcommitsizeaudit
v1.0 latest2026-09-20 18d6cbd 3,062 BA view · diff
v1.02026-06-13 37e54af 2,735 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3062 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

hanzhcn/laohan-skills · 11 stars · license MIT · pushed 2026-09-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ze2uwldbgocntf6h
GET https://markdownregistry.com/api/v1/resolve?ref=hanzhcn/laohan-skills/duopingtai
GET https://markdownregistry.com/api/v1/blob/613dd5e239ed540dd9651c45729a561c2b50b75dc5cdb3d7d7ee87507f82bb7e

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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