Social Media Poster

Post to All Platforms

cd ~/.claude/skills/social-media-poster
source venv/bin/activate
python scripts/post_all.py -t "Your post content" -i "./image.jpg" -u "https://example.com"

Post with Video

python scripts/post_all.py -t "Check out this video!" -v "./video.mp4"

Post with Multiple Images

python scripts/post_all.py -t "Photo gallery!" -i "./img1.jpg" -i "./img2.jpg" -i "./img3.jpg"

Post to LinkedIn Only

python scripts/linkedin_poster.py -t "Post text" -i "./image.jpg" -u "https://link.com" --title "Link Title"

Post to Twitter/X Only

python scripts/twitter_poster.py -t "Tweet text" -i "./image.jpg"

Note: Long-form posts are supported by default (for premium accounts). Use --truncate flag for non-premium accounts (280 char limit).

Creating Posts Workflow

When creating posts for the user:

1. Craft platform-appropriate content

   • LinkedIn: Professional tone, longer form, more hashtags acceptable
   • Twitter: Same content works for premium accounts (long-form supported)

2. Handle media attachments

   • Images: Use -i flag (can be used multiple times for multiple images)
   • Videos: Use -v flag (supports MP4, MOV, AVI, WebM)
   • LinkedIn supports up to 9 images per post
   • Twitter supports up to 4 images per tweet

3. Include relevant elements

   • Hashtags for discoverability
   • Links to referenced content
   • Images/videos for engagement

4. Post to platforms

   • Use post_all.py for simultaneous posting
   • Use individual scripts when content differs significantly between platforms

Command Reference

post_all.py

--text, -t       Post content (required)
--image, -i      Path to image file (can use multiple times)
--video, -v      Path to video file
--url, -u        URL to include
--title          Title for link/image/video
--platforms, -p  Specific platforms: linkedin twitter
--sequential     Post one at a time instead of parallel

linkedin_poster.py

--text, -t       Post content (required)
--image, -i      Path to image file (can use multiple times)
--video, -v      Path to video file
--url, -u        URL for link preview
--title          Title for link/image/video
--description    Description for link/image/video

twitter_poster.py

--text, -t       Tweet content (required)
--image, -i      Path to image (can use multiple times, max 4)
--video, -v      Path to video file
--truncate       Truncate to 280 chars (for non-premium accounts)

Video Upload Details

LinkedIn Video Requirements

• Format: MP4 only
• Size: 75 KB to 500 MB
• Length: 3 seconds to 30 minutes
• Process: Chunked upload with automatic processing

Twitter Video Requirements

• Format: MP4, MOV, AVI, WebM
• Size: Up to 512 MB
• Length: Up to 2 minutes 20 seconds (140 seconds)
• Process: Chunked upload with async processing

Video Upload Process

The scripts handle video uploads automatically:

1. Initialize upload with file size
2. Upload in chunks (4MB for LinkedIn, 1MB for Twitter)
3. Finalize and wait for processing
4. Create post with processed video

First-Time Setup

For initial setup, refer to references/setup.md for detailed instructions on:

• Creating LinkedIn Developer App
• Creating Twitter/X Developer Account
• Obtaining API credentials
• Configuring the .env file

Environment Variables

The scripts require these environment variables in a .env file:

# LinkedIn
LINKEDIN_CLIENT_ID=
LINKEDIN_CLIENT_SECRET=
LINKEDIN_ACCESS_TOKEN=

# Twitter/X
TWITTER_API_KEY=
TWITTER_API_SECRET=
TWITTER_ACCESS_TOKEN=
TWITTER_ACCESS_TOKEN_SECRET=
TWITTER_BEARER_TOKEN=

Platform Limitations

LinkedIn

• Access token expires in ~60 days (run get_token.py to refresh)
• Requires "Share on LinkedIn" product approval
• Video processing may take 1-5 minutes

Twitter/X

• Free tier: 1,500 tweets/month limit
• Basic tier ($100/mo): 3,000 tweets/month
• Requires OAuth 1.0a with Read+Write permissions
• Video processing is async (longer videos take more time)

Resources

scripts/

• linkedin_poster.py - Post to LinkedIn (text, images, videos, links)
• twitter_poster.py - Post to Twitter/X (text, images, videos)
• post_all.py - Post to all platforms
• get_token.py - LinkedIn OAuth token helper
• requirements.txt - Python dependencies

references/

• setup.md - Detailed setup instructions for both platforms