Content Repurposer - Multi-Platform Content Adaptor
Transform any single piece of content (article, idea, notes, transcript) into optimized versions for multiple platforms in one shot.
📖 如何使用 / How to Use
安装 / Install
openclaw skills install content-repurposer-cn使用步骤 / Steps
- 把你的文章/笔记/想法粘贴到 OpenClaw
- 触发：
帮我把这段内容一稿多发，适配各个平台只需要微信公众号和小红书版本我有个主题："年轻人为什么越来越不愿意加班"，帮我生成各平台内容支持的输出平台 / Output Platforms
| 平台 | 格式 | 字数 |
|---|---|---|
| 微信公众号 | 长文，带标题+摘要+分节 | 800-1500字 |
| 知乎 | 问答格式，自动生成问题 | 500-1000字 |
| 小红书 | 轻松口语，带话题标签 | 200-500字 |
| 抖音/TikTok | 口播脚本，带镜头提示 | 30-60秒 |
| 头条号 | 短段落，移动端友好 | 600-1200字 |
| Twitter Thread | 5-8条推文，英文 | 280字/条 |
| 专业风格，英文 | 150-300字 |
追问示例 / Follow-up Prompts
小红书那版改得更接地气一点，像普通女生写的
抖音脚本改成带字幕的格式
微信文章标题帮我想5个备选，A/B测试用常见问题 / FAQ
- 可以从零开始吗？ 可以，给主题或关键词，skill 自动展开内容
- 只发某几个平台？ 告诉它你需要哪几个平台就行
- 中英文都支持吗？ 支持，中文内容自动翻译+适配英文平台
- 需要额外配置吗？ OpenClaw 配置好 AI 即可使用，支持阿里云百炼、DeepSeek 等，录入 Key 就行
- 有问题找谁？ ClawHub 页面留言或联系 @ShuaigeSkillBot
- 需要帮你配置好直接用？ Telegram 私信 @ShuaigeSkillBot，配置服务 ¥99，配好即用
Trigger
When the user says any of: "repurpose", "distribute", "cross-post", "adapt for", "rewrite for platforms", "content matrix", "multi-platform", "分发", "一稿多发", "多平台", "改写", "转发各平台"
Workflow
Step 1: Analyze the Source Content
Read the user's input (text, file, or URL). Identify:
- Core message / thesis
- Key data points or quotes
- Target audience
- Tone (professional / casual / educational / entertaining)
Step 2: Generate Platform-Specific Versions
Produce ALL of the following in a single response. Each version must feel native to that platform — not just reformatted, but genuinely rewritten:
Twitter/X Thread (English)
- 5-8 tweets, each under 280 characters
- Hook in tweet 1 (question, bold claim, or surprising stat)
- Use line breaks for readability
- End with CTA (follow, retweet, link)
- No hashtag spam (max 2)
LinkedIn Post (English)
- 150-300 words
- Professional but human tone
- Start with a hook line (insight, lesson, or question)
- Use short paragraphs (1-2 sentences each)
- End with a question to drive comments
WeChat Article (公众号 - Chinese)
- 800-1500 words
- Title: clickable but not clickbait (< 30 chars)
- Opening: hook within first 2 sentences
- Structure: subheadings every 200-300 words
- Include a 摘要 (abstract) under 120 chars
- Tone: authoritative but accessible
- End with: 引导关注 + 引导转发
Zhihu Answer (知乎 - Chinese)
- 500-1000 words
- Frame as answering a question (generate the question too)
- Data-driven, cite sources where possible
- Logical structure with numbered points
- Tone: expert sharing knowledge
- End with: "以上，希望对你有帮助"
Xiaohongshu Note (小红书 - Chinese)
- 200-500 words
- Title with emoji (not excessive, 1-2 max)
- Casual, first-person, story-driven
- Break into short paragraphs
- Include 3-5 relevant tags at the end
- Tone: like sharing with a friend
Douyin/TikTok Script (Chinese)
- 30-60 second script
- Hook in first 3 seconds (question or shocking statement)
- 3-act structure: hook → content → CTA
- Spoken language, not written language
- Include stage directions [镜头切换] [展示画面]
Toutiao Article (头条 - Chinese)
- 600-1200 words
- Title: curiosity-driven, slightly provocative
- Dense information, numbered lists preferred
- Shorter paragraphs than WeChat (mobile-first)
- Embedded question hooks every 200 words
Step 3: Output Format
Present each version under a clear heading with platform name and character/word count. Use markdown formatting.
At the end, provide a Distribution Checklist:
- [ ] WeChat: schedule via editor
- [ ] Zhihu: post as answer to relevant question
- [ ] Xiaohongshu: add cover image
- [ ] Douyin: record using script
- [ ] Toutiao: submit to relevant channel
- [ ] Twitter: schedule thread
- [ ] LinkedIn: post during business hours (Tue-Thu)
Rules
- Never produce generic "one size fits all" content. Each platform version must feel native.
- Chinese platforms get Chinese content. English platforms get English content.
- Preserve the core message but adapt framing, length, tone, and structure per platform.
- If source content is in Chinese, still produce English versions (translate + adapt). Vice versa.
- If the user specifies only certain platforms, produce only those.
- Include estimated reading time for long-form content.
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