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OpenClaw

Markdown To Social

markdown to social

hugosbl0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install hugosbl/markdown-to-social

Examinez 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.

Voir la source ↗Guides

Instructions

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

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/hugosbl/markdown-to-social
Version
—
Commit
eea2b099939f634b6dca467cbed90e63113ebc7e
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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
```

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