content-repurposer
Transform long-form content into multiple short-form pieces. Use when: converting podcast to social posts; extracting Twitter threads from blog posts; pulling quotes from transcripts; creating content variants from single source
What this skill does
# Content Repurposer > Turn one piece of content into 10+ pieces using AI-powered extraction and reformatting - the "create once, publish everywhere" workflow. ## When to Use This Skill - **Podcast repurposing** - Convert episode transcripts to threads, posts, quotes - **Blog distribution** - Transform articles into LinkedIn posts, Twitter threads - **Video content recycling** - Extract quotable moments and insights - **Newsletter content** - Generate social snippets from weekly newsletters - **Webinar follow-up** - Create post-event content from recordings ## What Claude Does vs What You Decide | Claude Does | You Decide | |-------------|------------| | Structures production workflow | Final creative direction | | Suggests technical approaches | Equipment and tool choices | | Creates templates and checklists | Quality standards | | Identifies best practices | Brand/voice decisions | | Generates script outlines | Final script approval | ## Dependencies ```bash pip install anthropic jinja2 click pyyaml # Requires ANTHROPIC_API_KEY environment variable ``` ## Commands ### Multi-Format Repurpose ```bash python scripts/main.py repurpose transcript.txt --formats "twitter,linkedin,instagram" python scripts/main.py repurpose blog-post.md --formats all ``` ### Twitter Thread ```bash python scripts/main.py thread article.md --max-tweets 10 python scripts/main.py thread transcript.txt --style educational ``` ### Quote Extraction ```bash python scripts/main.py quotes podcast-transcript.txt --count 5 python scripts/main.py quotes interview.txt --style inspirational ``` ### Hook Generation ```bash python scripts/main.py hooks content.txt --count 10 python scripts/main.py hooks product-page.txt --style curiosity ``` ## Examples ### Example 1: Podcast Episode → Full Content Suite ```bash # Input: 45-minute podcast transcript python scripts/main.py repurpose episode-42-transcript.txt --formats all # Output directory: episode-42-transcript_repurposed/ # ├── twitter_thread.md (10-tweet thread) # ├── linkedin_post.md (long-form post) # ├── instagram_carousel.md (10 slides) # ├── quotes.md (5 quotable moments) # └── hooks.md (5 attention grabbers) ``` ### Example 2: Blog Post → Twitter Thread ```bash # Convert 2000-word article to thread python scripts/main.py thread positioning-strategy.md --max-tweets 12 --style educational # Output: positioning-strategy_thread.md # 1/ Here's how the best B2B companies position themselves (thread) # 2/ First, they identify their competitive alternatives... # ... # 12/ TL;DR: Position for differentiation, not features. Link in bio. ``` ### Example 3: Extract Quotable Moments ```bash # Pull shareable quotes from interview python scripts/main.py quotes founder-interview.txt --count 10 --style inspirational # Output: founder-interview_quotes.md # 1. "We didn't build a product, we built a belief system." # 2. "Your first 100 customers should feel like co-founders." # ... ``` ## Output Formats | Format | Best For | Typical Length | |--------|----------|----------------| | `twitter` | Thread with numbered tweets | 8-15 tweets | | `linkedin` | Long-form professional post | 1,200-1,500 chars | | `instagram` | Carousel slide content | 10 slides | | `quotes` | Shareable quote graphics | 5-10 quotes | | `hooks` | Opening lines for posts | 10 hooks | | `summary` | Executive summary | 200-300 words | | `newsletter` | Email-friendly summary | 500-800 words | ## Content Styles | Style | Tone | Use Case | |-------|------|----------| | `educational` | Teaching, explaining | Tutorials, how-tos | | `inspirational` | Motivating, uplifting | Founder stories | | `provocative` | Challenging assumptions | Thought leadership | | `conversational` | Casual, relatable | Personal brand | | `professional` | Formal, authoritative | B2B, enterprise | ## How It Works 1. **Content Analysis** - AI reads full content, identifies key themes 2. **Format Adaptation** - Restructures for each platform's constraints 3. **Hook Generation** - Creates attention-grabbing openings 4. **Quote Extraction** - Pulls most shareable moments 5. **Consistency Check** - Ensures message alignment across formats ## Best Practices 1. **Start with transcripts** - Raw transcripts work better than polished content 2. **Review hooks** - AI-generated hooks need human judgment 3. **Edit threads** - Check flow between tweets 4. **Add context** - AI can't know your audience's inside jokes 5. **Test variations** - Generate multiple versions, pick the best ## Skill Boundaries ### What This Skill Does Well - Structuring audio production workflows - Providing technical guidance - Creating quality checklists - Suggesting creative approaches ### What This Skill Cannot Do - Replace audio engineering expertise - Make subjective creative decisions - Access or edit audio files directly - Guarantee commercial success ## Related Skills - [whisper-transcription](../whisper-transcription/) - Create transcripts to repurpose - [youtube-downloader](../youtube-downloader/) - Get video content to repurpose - [copywriting-schwartz](../../content/copywriting-schwartz/) - Improve repurposed copy ## Skill Metadata - **Mode**: cyborg ```yaml category: automation subcategory: content-automation dependencies: [anthropic, jinja2] difficulty: beginner time_saved: 8+ hours/week api_cost: ~$0.02-0.10 per repurpose ```
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