Skill Content Repurposing logo

Skill Content Repurposing

OrganizationPopular
ZJU-REAL
skill-content-repurposing

将一篇内容拆解改编到小红书、抖音、B站、微博等多平台，适配各平台原生格式和风格。 当用户说"一稿多发""改编到各平台""内容复用""多平台适配""这篇改成小红书/抖音""转成其他平台""一鱼多吃"时使用。 和 skill-cross-platform-diff 的区别：diff 做平台差异洞察分析（发现层）；本 SKILL 实际改写内容到各平台。 和 skill-cross-platform-publish 的区别：本 SKILL 只改写适配内容，cross-platform-publish 负责实际一键分发到多平台。

Overview

PublisherZJU-REAL
RepositoryEasel
Skill nameskill-content-repurposing
Stars
1.2K
Forks
175
Bundled files
3
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • 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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ZJU-REAL on GitHub. Read the source before you install it.

Installation

Install the Skill Content Repurposing 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.
  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/ZJU-REAL/Easel.git /tmp/Easel
mkdir -p .claude/skills
cp -r /tmp/Easel/skills/openclaw/skill-content-repurposing .claude/skills/skill-content-repurposing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Content Repurposing 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 Skill Content Repurposing 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 Skill Content Repurposing 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.

跨平台内容改编

将一篇长内容拆解为多平台原生素材，根据各平台特性适配格式、长度与语气，实现「一次创作，全域分发」。

输入

用户 prompt 中提供源内容，支持以下形式：

  • 文本：直接提供社媒帖子、公众号文章、视频脚本等文本
  • URL：提供内容链接（通过 WebFetch 抓取）
  • 视频/音频转录稿：提供短视频口播稿或直播文字版
  • 混合：源内容 + 指定目标平台

示例 prompt：

Execute /skill-content-repurposing
源内容：<B站视频脚本>
目标平台：小红书、抖音、微博

输出

输出包含两部分：

1. 改编计划

json
{
  "source_type": "blog_post",
  "source_word_count": 2000,
  "core_elements": {
    "thesis": "核心论点",
    "key_points": ["要点1", "要点2", "要点3"],
    "quotable_lines": ["金句1", "金句2"],
    "data_points": ["数据1"]
  },
  "target_platforms": ["twitter", "linkedin", "xiaohongshu"],
  "total_pieces": 8
}

2. 各平台改编内容

每个平台输出独立的、符合该平台原生格式的内容。具体转换规则参见 references/conversion-recipes.md。

内容金字塔

本 SKILL 遵循三层内容金字塔方法论：

层级说明示例
支柱内容 (Pillar)深度长内容B站长视频、公众号长文、播客、直播回放
衍生内容 (Derivative)中等长度，提取支柱内容的子主题小红书图文、知乎回答、抖音口播脚本
微内容 (Micro)短小精悍，单点突破微博热评、抖音15秒、小红书封面金句卡

一篇支柱内容可衍生 15–25 个跨平台素材。SKILL 根据源内容类型自动规划金字塔拆解方案。

执行步骤

  1. 识别源内容类型

    • 判断源内容属于支柱层的哪种类型（B站视频 / 公众号文章 / 直播 / 播客）
    • 统计字数、段落数，评估内容密度

  2. 提取核心元素

    • 提炼核心论点（thesis）
    • 提取 3–5 个关键要点（key points）
    • 标记可引用金句（quotable lines）
    • 抓取数据点和案例（data points）

  3. 映射目标平台

    • 有 Profile：从 Profile 的 platforms 字段读取目标平台列表
    • 无 Profile：使用用户指定的平台，或默认为 小红书 + 抖音 + 微博
    • 根据 references/platform-specs.md 确定每个平台的格式要求

  4. 逐平台生成改编内容

    • 根据 references/conversion-recipes.md 中的转换配方执行改编
    • 每条内容必须是该平台的原生内容——不是简单截断或复制粘贴
    • 适配长度限制、语气风格、标签策略、格式规范

  5. 输出排期建议

    • 建议各平台的发布顺序和时间间隔
    • 原则：支柱内容先发 → 衍生内容次日起陆续发 → 微内容穿插填充

改编原则

  • 平台原生：每条内容读起来像是专门为该平台写的，不是机械裁剪
  • 核心一致：所有改编内容传达同一核心信息，不跑题不矛盾
  • 独立成立：每条内容单独阅读也完整有价值，不依赖用户看过源内容
  • 格式适配：严格遵守各平台的长度、格式、标签规则（见 references/platform-specs.md）

Profile 感知

  • 有 Profile：
    • 从 platforms 字段读取目标平台列表，自动确定改编方向
    • 从 tone / voice 字段读取语气风格，统一应用到所有改编内容
    • 从 audience 字段读取目标受众，调整内容深度和表达方式
    • 从 hashtag_strategy 字段读取标签偏好
  • 无 Profile：
    • 要求用户指定目标平台（未指定则默认 小红书 + 抖音 + 微博）
    • 使用通用专业语气
    • 提示："如提供账号 Profile（含平台和受众信息），可获得更精准的改编效果"

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 Skill Content Repurposing AI skill do?

将一篇内容拆解改编到小红书、抖音、B站、微博等多平台，适配各平台原生格式和风格。 当用户说"一稿多发""改编到各平台""内容复用""多平台适配""这篇改成小红书/抖音""转成其他平台""一鱼多吃"时使用。 和 skill-cross-platform-diff 的区别：diff 做平台差异洞察分析（发现层）；本 SKILL 实际改写内容到各平台。 和 skill-cross-platform-publish 的区别：本 SKILL 只改写适配内容，cross-platform-publish 负责实际一键分发到多平台。

Why use Skill Content Repurposing on TypingMind?

Because you install it once and use it with any model. Skill Content Repurposing 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 Skill Content Repurposing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-content-repurposing. 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 Skill Content Repurposing?

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 Skill Content Repurposing?

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

Is the Skill Content Repurposing AI skill free?

Yes. It is published on GitHub by ZJU-REAL under the Apache-2.0 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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