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

Dependencies

pip install anthropic jinja2 click pyyaml
# Requires ANTHROPIC_API_KEY environment variable

Commands

Multi-Format Repurpose

python scripts/main.py repurpose transcript.txt --formats "twitter,linkedin,instagram"
python scripts/main.py repurpose blog-post.md --formats all

Twitter Thread

python scripts/main.py thread article.md --max-tweets 10
python scripts/main.py thread transcript.txt --style educational

Quote Extraction

python scripts/main.py quotes podcast-transcript.txt --count 5
python scripts/main.py quotes interview.txt --style inspirational

Hook Generation

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

# 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

# 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

# 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

Content Styles

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 – Create transcripts to repurpose
• youtube-downloader – Get video content to repurpose
• copywriting-schwartz – Improve repurposed copy

Skill Metadata

• Mode: cyborg

category: automation
subcategory: content-automation
dependencies: [anthropic, jinja2]
difficulty: beginner
time_saved: 8+ hours/week
api_cost: ~$0.02-0.10 per repurpose