Why Use This This skill provides specialized capabilities for daymade's codebase.
Use Cases Developing new features in the daymade repository Refactoring existing code to follow daymade standards Understanding and working with daymade's codebase structure
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Updated At Jan 15, 2026, 03:36 PM
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---
name: twitter-reader
description: Fetch Twitter/X post content including long-form Articles with full images and metadata. Use when Claude needs to retrieve tweet/article content, author info, engagement metrics, and embedded media. Supports individual posts and X Articles (long-form content). Automatically downloads all images to local attachments folder and generates complete Markdown with proper image references. Preferred over Jina for X Articles with images.
---
# Twitter Reader
Fetch Twitter/X post and article content with full media support.
## Quick Start (Recommended)
For X Articles with images, use the new fetch_article.py script:
```bash
uv run --with pyyaml python scripts/fetch_article.py <article_url> [output_dir]
```
Example:
```bash
uv run --with pyyaml python scripts/fetch_article.py \
https://x.com/HiTw93/status/2040047268221608281 \
./Clippings
```
This will:
- Fetch structured data via `twitter-cli` (likes, retweets, bookmarks)
- Fetch content with images via `jina.ai` API
- Download all images to `attachments/YYYY-MM-DD-AUTHOR-TITLE/`
- Generate complete Markdown with embedded image references
- Include YAML frontmatter with metadata
### Example Output
```
Fetching: https://x.com/HiTw93/status/2040047268221608281
--------------------------------------------------
Getting metadata...
Title: 你不知道的大模型训练:原理、路径与新实践
Author: Tw93
Likes: 1648
Getting content and images...
Images: 15
Downloading 15 images...
✓ 01-image.jpg
✓ 02-image.jpg
...
✓ Saved: ./Clippings/2026-04-03-文章标题.md
✓ Images: ./Clippings/attachments/2026-04-03-HiTw93-.../ (15 downloaded)
```
## Alternative: Jina API (Text-only)
For simple text-only fetching without authentication:
```bash
# Single tweet
curl "https://r.jina.ai/https://x.com/USER/status/TWEET_ID" \
-H "Authorization: Bearer ${JINA_API_KEY}"
# Batch fetching
scripts/fetch_tweets.sh url1 url2 url3
```
## Features
### Full Article Mode (fetch_article.py)
- ✅ Structured metadata (author, date, engagement metrics)
- ✅ Automatic image download (all embedded media)
- ✅ Complete Markdown with local image references
- ✅ YAML frontmatter for PKM systems
- ✅ Handles X Articles (long-form content)
### Simple Mode (Jina API)
- Text-only content
- No authentication required beyond Jina API key
- Good for quick text extraction
## Prerequisites
### For Full Article Mode
- `uv` (Python package manager)
- No additional setup (twitter-cli auto-installed)
### For Simple Mode (Jina)
```bash
export JINA_API_KEY="your_api_key_here"
# Get from https://jina.ai/
```
## Output Structure
```
output_dir/
├── YYYY-MM-DD-article-title.md # Main Markdown file
└── attachments/
└── YYYY-MM-DD-author-title/
├── 01-image.jpg
├── 02-image.jpg
└── ...
```
## What Gets Returned
### Full Article Mode
- **YAML Frontmatter**: source, author, date, likes, retweets, bookmarks
- **Markdown Content**: Full article text with local image references
- **Attachments**: All downloaded images in dedicated folder
### Simple Mode
- **Title**: Post author and content preview
- **URL Source**: Original tweet link
- **Published Time**: GMT timestamp
- **Markdown Content**: Text with remote media URLs
## URL Formats Supported
- `https://x.com/USER/status/ID` (posts)
- `https://x.com/USER/article/ID` (long-form articles)
- `https://twitter.com/USER/status/ID` (legacy)
## Scripts
### fetch_article.py
Full-featured article fetcher with image download:
```bash
uv run --with pyyaml python scripts/fetch_article.py <url> [output_dir]
```
### fetch_tweet.py
Simple text-only fetcher using Jina API:
```bash
python scripts/fetch_tweet.py <tweet_url> [output_file]
```
### fetch_tweets.sh
Batch fetch multiple tweets (Jina API):
```bash
scripts/fetch_tweets.sh <url1> <url2> ...
```
## Migration from Jina API
Old workflow:
```bash
curl "https://r.jina.ai/https://x.com/..."
# Manual image extraction and download
```
New workflow:
```bash
uv run --with pyyaml python scripts/fetch_article.py <url>
# Automatic image download, complete Markdown
```