Content Repurposer Tool

👤 charlie-morrison 📦 v1.0.0 ⭐ 4.3 ⬇️ 722 下载
✍️ 内容创作 免费

📖 技能介绍


name: content-repurposer description: Repurpose long-form content (blog posts, articles, newsletters, YouTube transcripts) into platform-optimized social media posts, Twitter/X threads, LinkedIn posts, email newsletter snippets, and short-form summaries. Use when asked to repurpose content, turn an article into social posts, create a thread from a blog post, adapt content for different platforms, generate social media versions of existing content, or create multi-platform content from a single source. Triggers on "repurpose", "turn this into tweets", "make social posts from", "create a thread", "adapt for LinkedIn", "newsletter snippet", "content remix".


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 - 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

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  • 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

🤖 AI 评测

这是一款实用的内容再利用工具,能将文章或视频自动转化为适合不同平台的社交帖子。优点是支持平台多、工作流程清晰、有详细的平台发布指南,还特别避免了 AI 生成内容常见的僵硬表达问题。不足之处在于没有示例展示效果,新手可能需要多试几次才能掌握要领。总体质量良好,适合需要频繁在多个平台发布内容的用户使用。

📊 多维度评分

适应性4.5
规范性4.3
有效性4.5
可靠性3.9
可信度4.4

📁 包含文件 (5 个)

📄 SKILL.md 3.9 KB
📄 STATUS.md 376 B
📄 _meta.json 142 B
📄 log.md 831 B
📄 references/platform-guides.md 3.8 KB