Transform and repurpose content across multiple platforms including Twitter, LinkedIn, Facebook, Instagram, TikTok, and email. Use when adapting long-form content for social media, creating platform-s
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Transform existing content into optimized variations for multiple platforms while maintaining brand voice and message consistency. Turn one blog post into a week's worth of social media content, newsletter copy, and cross-platform engagement.
Transform blog posts into:
Example Request: "Take this 2000-word blog post about '10 Productivity Hacks' and create: (1) A Twitter thread, (2) LinkedIn post, (3) Facebook post, (4) Instagram caption, (5) TikTok script, and (6) Email teaser."
Optimize for each platform's unique characteristics:
Twitter/X:
LinkedIn:
Facebook:
Instagram:
TikTok/Reels:
From single content to multi-day schedule:
Take one comprehensive piece (blog, video, guide) and generate a content calendar with:
Example Request: "Create a 7-day content calendar from this blog post about 'Remote Work Tips' with daily posts for Twitter, LinkedIn, Instagram, and Facebook."
Generate platform-appropriate tags:
Example Request: "Generate optimized hashtags for Instagram and LinkedIn for this content about 'AI in Marketing'."
# Use scripts/recycle_content.py python3 scripts/recycle_content.py \ --input blog_post.md \ --output-dir ./output \ --platforms twitter,linkedin,facebook,instagram,tiktok,email \ --format all
# Use scripts/to_twitter_thread.py python3 scripts/to_twitter_thread.py \ --input article.md \ --max-tweets 10 \ --hashtags 2 \ --tone conversational
# Use scripts/generate_calendar.py python3 scripts/generate_calendar.py \ --input content.md \ --days 7 \ --platforms twitter,linkedin,facebook,instagram \ --output calendar.md
recycle_content.pyTransform content across multiple platforms.
Parameters:
--input--output-dir--platforms--format--tone--include-hashtags--ctaExample:
python3 scripts/recycle_content.py \ --input blog_post.md \ --output-dir ./output \ --platforms twitter,linkedin,instagram \ --tone professional \ --include-hashtags \ --cta "Read the full article at link in bio"
to_twitter_thread.pyConvert long-form content to Twitter/X thread.
Parameters:
--input--max-tweets--hashtags--tone--include-ctaExample:
python3 scripts/to_twitter_thread.py \ --input article.md \ --max-tweets 8 \ --hashtags 3 \ --tone conversational \ --include-cta
to_linkedin_post.pyCreate LinkedIn-optimized post from content.
Parameters:
--input--max-length--tone--include-stats--formattingExample:
python3 scripts/to_linkedin_post.py \ --input article.md \ --tone professional \ --include-stats \ --formatting
generate_calendar.pyGenerate multi-day content calendar from source content.
Parameters:
--input--days--platforms--output--themeExample:
python3 scripts/generate_calendar.py \ --input content.md \ --days 7 \ --platforms twitter,linkedin,facebook,instagram \ --output calendar.md
optimize_hashtags.pyGenerate platform-optimized hashtags.
Parameters:
--input--platforms--count--nicheExample:
python3 scripts/optimize_hashtags.py \ --input "AI in marketing automation" \ --platforms instagram,linkedin,twitter \ --count 15 \ --niche marketing
Example Thread Structure:
Tweet 1: Hook + what you'll learn + (1/X) Tweet 2-8: Main points (one key insight per tweet) Tweet 9: Bonus tip/counterintuitive point Tweet 10: Summary + CTA + hashtags
Format Template:
[Hook - 3 lines][White space]
[Key insight with data point]
[Personal story/example]
[Another key insight]
[Call to action or question]
#hashtags
Caption Template:
[Hook - 2-3 lines with emojis][White space]
[Value/content]
[Another paragraph]
[CTA]
[Hashtags block]
Script Structure:
0-3s: Hook 3-45s: Main content (3-5 points) 45-55s: Call to action 55-60s: Outro
# Weekly cron job - Sunday at 9 AM 0 9 * * 0 /path/to/content-recycler/scripts/recycle_content.py \ --input ~/blog/posts/$(date +\%Y\%m\%d).md \ --output-dir ~/content/calendar/$(date +\%Y\%m\%d) \ --platforms all \ --include-hashtags \ --cta "Read more at blog.example.com"
Integrate with social media scheduling tools:
Output from content-recycler can be piped directly to their APIs or uploaded via CSV.
Don't just copy-paste. Adapt to:
Work smarter, not harder. One piece, ten platforms.
No automatic installation available. Please visit the source repository for installation instructions.
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