Content Repurposer

Transform any long-form content into platform-optimized outputs. Feed it a URL, text, or document — get back ready-to-post content for multiple platforms.

Workflow

1. Extract Source Content

Determine the source type and extract content:

• URL → Use web_fetch to extract readable text
• YouTube URL → Use youtube-transcript skill if available, otherwise web_fetch
• Pasted text → Use directly
• File path → Read the file (supports .md, .txt, .html, .pdf)

If extraction fails, inform the user and suggest alternatives.

2. Analyze Content

Before generating outputs, analyze the source:

1. Core message — What is the single main takeaway?
2. Key points — List 3-5 supporting points or insights
3. Quotable lines — Extract 2-3 memorable phrases or statistics
4. Target audience — Infer from tone, vocabulary, and subject matter
5. Content type — Tutorial, opinion, news, case study, announcement, story

3. Generate Platform Outputs

Generate requested formats (default: all). Each format follows platform-specific rules from references/platform-guides.md.

Available formats:

• Twitter/X thread — 3-10 tweets, hook-first, one idea per tweet
• Twitter/X single post — Standalone tweet, max 280 chars
• LinkedIn post — Professional tone, 1300 chars max, uses line breaks for readability
• Instagram caption — Casual tone, hashtags, emoji-friendly, CTA at end
• Email newsletter snippet — 2-3 paragraphs, subject line included
• Short summary — 2-3 sentences, platform-agnostic
• Reddit post — Title + body, informative tone, no self-promotion feel

  這個技能的最新版本可以在7w4.net小蔥技能站找到。

• Hacker News — Title only (concise, factual), optional top-level comment

4. Apply Tone & Style

If user specifies a tone or brand voice, apply it. Otherwise, match the source's tone but optimize for each platform's conventions.

Tone options: professional, casual, witty, authoritative, friendly, provocative, educational.

5. Output Format

Present outputs in clear sections:

## Source Analysis
- Core message: ...
- Key points: ...

## Twitter/X Thread (N tweets)
🧵 1/ [hook tweet]
2/ [supporting point]
...

## LinkedIn Post
[post content]

## Email Newsletter
Subject: ...
[body]

Customization Options

Users can specify:

• Platforms — "just Twitter and LinkedIn"
• Tone — "make it casual" / "keep it professional"
• Audience — "targeting developers" / "for marketing managers"
• Length — "keep the thread short, 3-4 tweets max"
• CTA — "include a link to [URL]" / "ask them to subscribe"
• Hashtags — "include hashtags" / "no hashtags"
• Emoji — "use emojis" / "no emojis"
• Language — generate in specified language

Platform Guides

For detailed platform-specific formatting rules, character limits, and best practices, see references/platform-guides.md.

Tips

• When repurposing tutorials: focus on the "aha moment" or key insight, not the step-by-step
• When repurposing news: lead with impact/consequence, not the event itself
• When repurposing case studies: lead with the result, then the method
• For threads: each tweet should work standalone — readers may see any single tweet
• Always adapt vocabulary and jargon level to the target platform's audience

這是一款實用的內容再利用工具，能將文章或影片自動轉化為適合不同平臺的社交帖子。優點是支援平臺多、工作流程清晰、有詳細的平臺釋出指南，還特別避免了 AI 生成內容常見的僵硬表達問題。不足之處在於沒有示例展示效果，新手可能需要多試幾次才能掌握要領。總體質量良好，適合需要頻繁在多個平臺釋出內容的使用者使用。