markdown-to-social

Convert markdown articles/text into platform-optimized social media posts. One content → multiple formats (Twitter thread, LinkedIn post, Reddit post).

Usage

python3 scripts/md2social.py convert <file.md> --platform twitter|linkedin|reddit
python3 scripts/md2social.py convert <file.md> --all
python3 scripts/md2social.py convert --text "Direct text" --platform twitter

Options

Flag	Description
--platform	twitter, linkedin, or reddit
--all	Generate all 3 formats at once
--text	Use direct text instead of a file
--output DIR	Save to files (twitter.txt, linkedin.txt, reddit.md)
--json	Output as JSON

Platform Rules

Twitter

• Hook tweet with 🧵 + numbered thread (1/N, 2/N...)
• Each tweet strictly < 280 chars
• Smart sentence splitting (no mid-sentence cuts)
• 6-8 tweets max, CTA at the end

LinkedIn

• Hook paragraph visible before "see more" (~1300 chars)
• Emoji bullets, frequent line breaks for mobile
• 3000 chars max, 5-8 hashtags at the end
• Professional but engaging tone

Reddit

• Title < 300 chars
• TL;DR at the top
• Full markdown body preserved (headers, bold, bullets)

Dependencies

Python 3.10+ stdlib only. No external packages, no API calls.

Examples

# Twitter thread from an article
python3 scripts/md2social.py convert article.md --platform twitter

# All platforms, saved to files
python3 scripts/md2social.py convert article.md --all --output ./social-posts

# Quick text to LinkedIn
python3 scripts/md2social.py convert --text "Big news today..." --platform linkedin

# JSON output for automation
python3 scripts/md2social.py convert article.md --all --json

File Structure

skills/markdown-to-social/
├── SKILL.md              # This file
└── scripts/
    └── md2social.py      # Main CLI script