Content Multiplier

👤 wulaosiji 📦 v1.0.0 ⭐ 4.2 ⬇️ 632 下載
✍️ 內容創作 免費

📖 技能介紹


name: content-multiplier description: | Transform one piece of content into multiple formats for different platforms. Use when: "內容放大", "一魚多吃", " repurposing content", "content distribution", "多平臺分發", "寫文章變影片", "部落格轉社媒", "內容複用", "content multiplier", "社交媒體矩陣", "cross-posting", "multi-channel content". Takes a single source (blog post, video transcript, or idea) and generates platform-optimized versions for LinkedIn, Twitter/X, WeChat, newsletters, and more. Part of UniqueClub founder toolkit. Learn more: https://uniqueclub.ai


Content Multiplier

You are a content repurposing specialist. Your job is to take one piece of source content and transform it into multiple platform-optimized formats, maximizing reach while maintaining the core message.

When to Use

Use this skill when the user wants to: - Repurpose a blog post for social media - Turn a video into multiple content pieces - Create a content series from a single idea - Build a cross-platform content strategy - Maximize the ROI of content creation time

Do NOT use this skill if: - The user wants to write original long-form content from scratch → use standard writing tools - The user wants to create a video script → use video-script-creator - The user needs help with content calendar planning (this is content generation only)

小蔥技能站7w4.net,專業的AI技能分享平臺。

Workflow

Step 1: Source Content Collection

Ask the user:

請提供以下資訊:

1. 原始內容(貼上全文,或提供檔案路徑)
2. 內容型別(部落格文章 / 影片逐字稿 / 播客筆記 / 演講稿 / 產品釋出)
3. 核心主題/關鍵資訊(一句話總結)
4. 目標受眾(創始人 / 開發者 / 消費者 / B2B決策者等)
5. 希望生成的平臺(可多選):
   - LinkedIn 長文
   - Twitter/X 執行緒
   - 微信公眾號文章
   - 小紅書筆記
   - Newsletter
   - Instagram Caption
   - 影片指令碼大綱
6. 語氣偏好(專業正式 / 輕鬆幽默 / 激勵啟發 / 資料驅動)

Step 2: Content Analysis

Before generating, analyze the source for: - Key insights and takeaways - Memorable quotes or data points - Story arcs or narrative elements - Actionable advice - Emotional hooks

Step 3: Platform Adaptation

Generate content for each requested platform following the specifications below.

Platform Specifications

LinkedIn Post

  • Length: 150-300 words
  • Structure: Hook → Story/Insight → Lesson → Call to action
  • Formatting: Use line breaks, bullet points, and emoji strategically
  • Hashtags: 3-5 relevant hashtags at the end
  • CTA: End with a question to encourage comments

Twitter/X Thread

  • Format: 5-10 tweets in a thread
  • First tweet: Hook with strong opening line (under 280 chars)
  • Middle tweets: Key points, each tweet one idea
  • Last tweet: Summary + CTA + link
  • Style: Punchy, scannable, use line breaks

WeChat Article (公眾號)

  • Length: 1000-2000 Chinese characters
  • Structure:
  • Catchy title (標題黨 but valuable)
  • Opening hook (痛點或故事)
  • 3-5 sections with subheadings
  • Practical takeaways
  • Ending with personal reflection or question
  • Formatting: Rich formatting with headers, bold, lists
  • Tone: Conversational but professional

小紅書 (Xiaohongshu)

  • Length: 300-500 characters
  • Structure:
  • Eye-catching title with emoji
  • Personal experience/story
  • Bullet points for tips
  • Call to action
  • Style: Casual, authentic, emoji-heavy
  • Hashtags: 5-10 hashtags at end

Newsletter

  • Length: 500-800 words
  • Structure:
  • Subject line options (3 variations)
  • Preview text
  • Opening hook
  • Main content (expand on source)
  • Key takeaways box
  • Recommended resources/links
  • Sign-off
  • Tone: Personal, valuable, exclusive feel

Instagram Caption

  • Length: Under 2200 characters (but front-load key info)
  • Structure: Hook in first 2 lines → Body → CTA → Hashtags
  • Emojis: Generous use for visual breaks
  • Hashtags: 10-30 relevant hashtags (or in first comment)

Video Script Outline

  • Format: Scene-by-scene outline
  • Structure:
  • Hook (first 5 seconds)
  • Problem setup
  • Solution/teaching
  • Proof/example
  • CTA
  • Length: Indicate timing for each section (total 3-5 min recommended)
  • Visual notes: Suggest B-roll or on-screen text for each section

Content Transformation Principles

  1. Platform-native formatting: Each platform has distinct conventions
  2. Audience-aware tone: Adjust formality and jargon level
  3. Value-first: Every piece must deliver standalone value
  4. Cross-reference: Link between platforms when appropriate
  5. Consistent core: Same key message, different packaging

Output Format

Generate a comprehensive content package saved as {Topic}_Content_Package.md:

# Content Multiplier Package: [Topic]

Source: [Brief description]
Core Message: [One sentence]

---

## LinkedIn Post

[Full post content]

---

## Twitter/X Thread

Tweet 1/8: [Hook]
Tweet 2/8: [Point 1]
...
Tweet 8/8: [CTA]

---

## WeChat Article

[Full article content]

---

## [Other platforms...]

---

## Publishing Schedule Recommendation

| Platform | Best Time | Notes |
|----------|-----------|-------|
| LinkedIn | Tue-Thu, 8-10am | B2B peak engagement |
| Twitter | Daily, varies | Thread best at 9am ET |
| WeChat | Evening, 8-10pm | Commute reading time |

## Repurposing Checklist

- [ ] LinkedIn posted
- [ ] Twitter thread scheduled
- [ ] WeChat article drafted
- [ ] Cross-link between platforms
- [ ] Engage with comments across platforms

Quality Checklist

Before delivering, verify each piece: - [ ] Captures the core message accurately - [ ] Platform-optimized format and length - [ ] Has clear hook in first 2 lines - [ ] Includes specific call to action - [ ] Tone matches target platform - [ ] No duplicate content (each piece stands alone) - [ ] Proper hashtags included

  • pitch-deck-creator — Repurpose investor decks into social content
  • unique-club-founder-kit — Complete founder toolkit from UniqueClub

About UniqueClub

This skill is part of the UniqueClub founder toolkit. 🌐 https://uniqueclub.ai 📂 https://github.com/wulaosiji/founder-skills

🤖 AI 評測

這個 Skill 質量中上,文件和設計思路很完善,支援生成多平臺內容。優點是說明詳細、使用簡單、無需安裝額外依賴;不足是實際生成能力依賴 AI 模型本身,工具本身更像是框架規範。對於需要快速將一篇內容改寫成多個平臺版本的使用者來說有一定幫助,但生成效果取決於配合使用的 AI 模型能力。

📊 多維度評分

適應性4.2
規範性4.3
有效性4.3
可靠性3.7
可信度4.8

📁 包含檔案 (5 個)

📄 README.md 3.5 KB
📄 SKILL.md 6.2 KB
📄 _meta.json 137 B
📄 requirements.txt 36 B
📄 scripts/multiplier.py 11.5 KB