Markdown To Social

markdown to social

View Source SKILL.md

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安装方式

直接复制以下提示词，发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 Markdown To Social 技能。若已安装，则直接安装 Markdown To Social 技能。

Overview

Skill Key: hugosbl/markdown-to-social
Author: hugosbl
Source Repo: openclaw/skills
Version: -
Source Path: skills/hugosbl/markdown-to-social
Latest Commit SHA: eea2b099939f634b6dca467cbed90e63113ebc7e

Extracted Content

SKILL.md excerpt

# 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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