Adhd Bookmark Analyzer
ADHD X Bookmark Analysis
markdown to social
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install hugosbl/markdown-to-socialExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Convert markdown articles/text into platform-optimized social media posts. One content → multiple formats (Twitter thread, LinkedIn post, Reddit post).
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
| 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 |
Python 3.10+ stdlib only. No external packages, no API calls.
# 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
skills/markdown-to-social/
├── SKILL.md # This file
└── scripts/
└── md2social.py # Main CLI script
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# markdown-to-social
Convert markdown articles/text into platform-optimized social media posts.
One content → multiple formats (Twitter thread, LinkedIn post, Reddit post).
## Usage
```bash
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
```bash
# 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
```ADHD X Bookmark Analysis
Release Notes Generator
Arena Social Skill
Automated Content Generation Pipeline Skill