Twitter Reader
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.
MCP get_skill({ skillId: "twitter-reader-6a9f9e2a" })Use this skill with your agent
Create a free account and connect via MCP
# 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
```Related Skills
More skills in Web & Browser Automation
Accessibility Expert
Expert assistant for web accessibility (WCAG 2.1/2.2), inclusive UX, and a11y testing
Accessibility Runtime Tester
Runtime accessibility specialist for keyboard flows, focus management, dialog behavior, form errors, and evidence-backed WCAG validation in the browser.
agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.
Agent Browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
agent-browser core
Core agent-browser usage guide. Read this before running any agent-browser commands. Covers the snapshot-and-ref workflow, navigating pages, interacting with elements (click, fill, type, select), extracting text and data, taking screenshots, managing tabs, handling forms and auth, waiting for content, running multiple browser sessions in parallel, and troubleshooting common failures. Use when the user asks to interact with a website, fill a form, click something, extract data, take a screenshot, log into a site, test a web app, or automate any browser task.
Agentcore
Run agent-browser on AWS Bedrock AgentCore cloud browsers. Use when the user wants to use AgentCore, run browser automation on AWS, use a cloud browser with AWS credentials, or needs a managed browser session backed by AWS infrastructure. Triggers include "use agentcore", "run on AWS", "cloud browser with AWS", "bedrock browser", "agentcore session", or any task requiring AWS-hosted browser automation.
Explore Other Categories
Skills from other categories with shared topics
Asr Transcribe To Text
Asr Transcribe To Text linked from Daymade Claude Code Skills, with the upstream skill instructions available on GitHub.
GitHub Operations
Provides comprehensive GitHub operations using gh CLI and GitHub API. Activates when working with pull requests, issues, repositories, workflows, or GitHub API operations including creating/viewing/merging PRs, managing issues, querying API endpoints, and handling GitHub workflows in enterprise or public GitHub environments.
Meeting Minutes Taker
Meeting Minutes Taker linked from Daymade Claude Code Skills, with the upstream skill instructions available on GitHub.