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Content Recycler

Transform and repurpose content across multiple.

Rating: 4.8 (366 reviews)
Downloads: 6,738 downloads
Version: 1.0.0

Overview

Transform and repurpose content across multiple.

Complete Documentation

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Content Recycler

Overview

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.

Core Capabilities

1. Long-Form to Micro-Content

Transform blog posts into:

Twitter/X threads (280 char limits per tweet)
LinkedIn posts (professional tone, character optimized)
Facebook posts (conversational, community-focused)
Instagram captions (emoji-rich, hashtag-optimized)
TikTok/YouTube Shorts scripts (60-90 second scripts)
Email newsletter summaries

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."

2. Platform-Specific Adaptation

Optimize for each platform's unique characteristics:

Twitter/X:

Character limit: 280 per tweet
Thread structure for longer content
Hashtags: 1-3 per tweet
Tone: Conversational, snappy, value-focused

LinkedIn:

Character limit: 3,000
Professional but conversational tone
Data and statistics perform well
Use line breaks and emojis strategically

Facebook:

Character limit: 63,206
Conversational, community-oriented
Ask questions to drive engagement
Include images/videos

Instagram:

Character limit: 2,200
Emoji-heavy
Hashtags: 5-30 (optimal: 11)
Aesthetic formatting, line breaks

TikTok/Reels:

Scripts: 60-90 seconds (150-250 words)
Hook in first 3 seconds
Clear CTA
Trending sounds/music suggestions

3. Content Calendar Generation

From single content to multi-day schedule:

Take one comprehensive piece (blog, video, guide) and generate a content calendar with:

Day 1: Teaser (Twitter, Instagram Story)
Day 2: Main content release (LinkedIn, Facebook)
Day 3: Follow-up thread (Twitter/X)
Day 4: Behind-the-scenes (Instagram, TikTok)
Day 5: Q&A or poll (Facebook, Instagram)
Day 6: Summary/stats (LinkedIn)
Day 7: Call-to-action/next steps (Email newsletter)

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."

4. SEO & Hashtag Optimization

Generate platform-appropriate tags:

LinkedIn: Tags in content, professional industry tags
Instagram: 5-30 hashtags (mix of high, medium, low volume)
Twitter: 1-3 hashtags per tweet
Facebook: Minimal hashtags, more conversational tags
TikTok: Trending sounds, challenge tags

Example Request: "Generate optimized hashtags for Instagram and LinkedIn for this content about 'AI in Marketing'."

Quick Start

Transform Blog to All Platforms

python

# 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

Create Twitter Thread

python

# Use scripts/to_twitter_thread.py
python3 scripts/to_twitter_thread.py \
  --input article.md \
  --max-tweets 10 \
  --hashtags 2 \
  --tone conversational

Generate Content Calendar

python

# Use scripts/generate_calendar.py
python3 scripts/generate_calendar.py \
  --input content.md \
  --days 7 \
  --platforms twitter,linkedin,facebook,instagram \
  --output calendar.md

Scripts

`recycle_content.py`

Transform content across multiple platforms.

Parameters:

--input: Input file path (required)
--output-dir: Output directory (default: ./output)
--platforms: Comma-separated platforms (twitter,linkedin,facebook,instagram,tiktok,email)
--format: Output format (all,threads,posts,captions,scripts)
--tone: Tone preference (professional,conversational,playful)
--include-hashtags: Include hashtag suggestions (true/false)
--cta: Call-to-action to include

Example:

bash

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.py`

Convert long-form content to Twitter/X thread.

Parameters:

--input: Input file path
--max-tweets: Maximum number of tweets (default: 10)
--hashtags: Number of hashtags per tweet (default: 2)
--tone: Tone preference (default: conversational)
--include-cta: Include CTA in final tweet

Example:

bash

python3 scripts/to_twitter_thread.py \
  --input article.md \
  --max-tweets 8 \
  --hashtags 3 \
  --tone conversational \
  --include-cta

`to_linkedin_post.py`

Create LinkedIn-optimized post from content.

Parameters:

--input: Input file path
--max-length: Max character length (default: 3000)
--tone: Tone (professional,conversational,inspirational)
--include-stats: Include statistics/data points
--formatting: Use bolding, line breaks (true/false)

Example:

bash

python3 scripts/to_linkedin_post.py \
  --input article.md \
  --tone professional \
  --include-stats \
  --formatting

`generate_calendar.py`

Generate multi-day content calendar from source content.

Parameters:

--input: Input file path
--days: Number of days (default: 7)
--platforms: Comma-separated platforms
--output: Output file
--theme: Daily themes (teaser,release,followup,behind_scenes,qa,summary,cta)

Example:

bash

python3 scripts/generate_calendar.py \
  --input content.md \
  --days 7 \
  --platforms twitter,linkedin,facebook,instagram \
  --output calendar.md

`optimize_hashtags.py`

Generate platform-optimized hashtags.

Parameters:

--input: Input content or topic
--platforms: Target platforms (instagram,linkedin,twitter,facebook,tiktok)
--count: Number of hashtags per platform
--niche: Industry/niche (tech,marketing,finance,health,etc.)

Example:

bash

python3 scripts/optimize_hashtags.py \
  --input "AI in marketing automation" \
  --platforms instagram,linkedin,twitter \
  --count 15 \
  --niche marketing

Content Adaptation Guidelines

Twitter/X Best Practices

Hook immediately - First tweet is most important
Number your threads - 1/10, 2/10, etc.
End with CTA - Follow, like, share, link
Use line breaks - Every 2-3 sentences
Add relevant images - Between tweets

Example Thread Structure:

text

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

LinkedIn Best Practices

First line matters - 3-line hook with white space
Use line breaks - Every 1-2 sentences
Add emojis strategically - 1-2 per paragraph
Include data/statistics - Numbers perform well
End with question - Drive comments
Tag relevant people - 3-5 max

Format Template:

text

[Hook - 3 lines]

[White space]

[Key insight with data point]

[Personal story/example]

[Another key insight]

[Call to action or question]

#hashtags

Instagram Best Practices

Hook in first line - Stop the scroll
Use line breaks - Every 1-2 sentences
Emojis frequently - But not spammy
Hashtag strategy:
5-10: High volume
5-10: Medium volume
5-10: Niche/low volume
End with CTA - Link in bio, save, share

Caption Template:

text

[Hook - 2-3 lines with emojis]

[White space]

[Value/content]

[Another paragraph]

[CTA]

[Hashtags block]

Facebook Best Practices

Ask questions - Drive engagement
Use "You" language - Personal connection
Include media - Image or video
Keep it conversational - Not too promotional
Reply to comments - Boost algorithm

TikTok Scripts

Hook in 3 seconds - Value proposition
Keep it short - 60-90 seconds
Use trends - Music, sounds, formats
Clear CTA - Follow, link in bio
Text overlay - Key points on screen

Script Structure:

text

0-3s: Hook
3-45s: Main content (3-5 points)
45-55s: Call to action
55-60s: Outro

Tone Guidelines

Professional

LinkedIn, email newsletters
Data-driven, authoritative
"We see...", "Research shows..."
Avoid: Slang, excessive emojis

Conversational

Twitter, Facebook
Personal stories, "I've found..."
Emojis: 1-2 per post
Casual but value-focused

Playful

Instagram, TikTok
Trending language, emojis
"Here's a secret...", "Guess what?"
Memes, humor when appropriate

Automation Integration

Weekly Content Recycling Pipeline

bash

# 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"

Auto-Publish to Social Media

Integrate with social media scheduling tools:

Buffer
Hootsuite
Later
SocialPilot

Output from content-recycler can be piped directly to their APIs or uploaded via CSV.

Best Practices

1. Maintain Consistent Brand Voice

Define brand voice guidelines in brand guide
Adapt tone, don't change message
Keep key phrases, mission statements consistent

2. Platform-First Thinking

Don't just copy-paste. Adapt to:

Character limits
Audience expectations
Format conventions
Engagement patterns

3. Test and Iterate

Track engagement metrics
A/B test different variations
Learn what works on each platform
Refine templates based on performance

4. Timing Matters

Twitter: High engagement during work hours
LinkedIn: Best Tue-Thu, 8-10 AM
Instagram: 7-9 PM, 12-3 PM on weekends
Facebook: 1-4 PM on weekdays
TikTok: 7-11 PM, weekends

5. Visual Content

Twitter: 1 image per 3 tweets
Instagram: Every post needs image/video
LinkedIn: Document carousels perform well
Facebook: Image or video required
TikTok: Video only

Work smarter, not harder. One piece, ten platforms.

Installation

Terminal bash


openclaw install content-recycler

Copied!

💻Code Examples

--output calendar.md

---output-calendarmd.txt

## Scripts

### `recycle_content.py`
Transform content across multiple platforms.

**Parameters:**
- `--input`: Input file path (required)
- `--output-dir`: Output directory (default: ./output)
- `--platforms`: Comma-separated platforms (twitter,linkedin,facebook,instagram,tiktok,email)
- `--format`: Output format (all,threads,posts,captions,scripts)
- `--tone`: Tone preference (professional,conversational,playful)
- `--include-hashtags`: Include hashtag suggestions (true/false)
- `--cta`: Call-to-action to include

**Example:**

--cta "Read the full article at link in bio"

---cta-read-the-full-article-at-link-in-bio.txt

### `to_twitter_thread.py`
Convert long-form content to Twitter/X thread.

**Parameters:**
- `--input`: Input file path
- `--max-tweets`: Maximum number of tweets (default: 10)
- `--hashtags`: Number of hashtags per tweet (default: 2)
- `--tone`: Tone preference (default: conversational)
- `--include-cta`: Include CTA in final tweet

**Example:**

--include-cta

---include-cta.txt

### `to_linkedin_post.py`
Create LinkedIn-optimized post from content.

**Parameters:**
- `--input`: Input file path
- `--max-length`: Max character length (default: 3000)
- `--tone`: Tone (professional,conversational,inspirational)
- `--include-stats`: Include statistics/data points
- `--formatting`: Use bolding, line breaks (true/false)

**Example:**

--formatting

---formatting.txt

### `generate_calendar.py`
Generate multi-day content calendar from source content.

**Parameters:**
- `--input`: Input file path
- `--days`: Number of days (default: 7)
- `--platforms`: Comma-separated platforms
- `--output`: Output file
- `--theme`: Daily themes (teaser,release,followup,behind_scenes,qa,summary,cta)

**Example:**

--output calendar.md

---output-calendarmd.txt

### `optimize_hashtags.py`
Generate platform-optimized hashtags.

**Parameters:**
- `--input`: Input content or topic
- `--platforms`: Target platforms (instagram,linkedin,twitter,facebook,tiktok)
- `--count`: Number of hashtags per platform
- `--niche`: Industry/niche (tech,marketing,finance,health,etc.)

**Example:**

--niche marketing

---niche-marketing.txt

## Content Adaptation Guidelines

### Twitter/X Best Practices

1. **Hook immediately** - First tweet is most important
2. **Number your threads** - 1/10, 2/10, etc.
3. **End with CTA** - Follow, like, share, link
4. **Use line breaks** - Every 2-3 sentences
5. **Add relevant images** - Between tweets

**Example Thread Structure:**

Tweet 10: Summary + CTA + hashtags

tweet-10-summary--cta--hashtags.txt

### LinkedIn Best Practices

1. **First line matters** - 3-line hook with white space
2. **Use line breaks** - Every 1-2 sentences
3. **Add emojis strategically** - 1-2 per paragraph
4. **Include data/statistics** - Numbers perform well
5. **End with question** - Drive comments
6. **Tag relevant people** - 3-5 max

**Format Template:**

#hashtags

hashtags.txt

### Instagram Best Practices

1. **Hook in first line** - Stop the scroll
2. **Use line breaks** - Every 1-2 sentences
3. **Emojis frequently** - But not spammy
4. **Hashtag strategy**:
   - 5-10: High volume
   - 5-10: Medium volume
   - 5-10: Niche/low volume
5. **End with CTA** - Link in bio, save, share

**Caption Template:**

[Hashtags block]

hashtags-block.txt

### Facebook Best Practices

1. **Ask questions** - Drive engagement
2. **Use "You" language** - Personal connection
3. **Include media** - Image or video
4. **Keep it conversational** - Not too promotional
5. **Reply to comments** - Boost algorithm

### TikTok Scripts

1. **Hook in 3 seconds** - Value proposition
2. **Keep it short** - 60-90 seconds
3. **Use trends** - Music, sounds, formats
4. **Clear CTA** - Follow, link in bio
5. **Text overlay** - Key points on screen

**Script Structure:**

55-60s: Outro

55-60s-outro.txt

## Tone Guidelines

### Professional
- LinkedIn, email newsletters
- Data-driven, authoritative
- "We see...", "Research shows..."
- Avoid: Slang, excessive emojis

### Conversational
- Twitter, Facebook
- Personal stories, "I've found..."
- Emojis: 1-2 per post
- Casual but value-focused

### Playful
- Instagram, TikTok
- Trending language, emojis
- "Here's a secret...", "Guess what?"
- Memes, humor when appropriate

## Automation Integration

### Weekly Content Recycling Pipeline