mcpbeat Sign in

Twitter Reader Skill for Claude

by daymade

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.

4k tokens
context cost
the whole folder, loaded on every use
5
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
1314
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/daymade/claude-code-skills --skill twitter-reader

The instruction itself

20 sections, as written by the author

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:

uv run --with pyyaml python scripts/fetch_article.py <article_url> [output_dir]

Example:

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:

# 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)

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:

uv run --with pyyaml python scripts/fetch_article.py <url> [output_dir]

fetch_tweet.py

Simple text-only fetcher using Jina API:

python scripts/fetch_tweet.py <tweet_url> [output_file]

fetch_tweets.sh

Batch fetch multiple tweets (Jina API):

scripts/fetch_tweets.sh <url1> <url2> ...

Migration from Jina API

Old workflow:

curl "https://r.jina.ai/https://x.com/..."
# Manual image extraction and download

New workflow:

uv run --with pyyaml python scripts/fetch_article.py <url>
# Automatic image download, complete Markdown

Other skills for the same job

different authors, same section of the catalogue
Youtube Automation
by ComeOnOliver
×2

Automate YouTube tasks via Rube MCP (Composio): upload videos, manage playlists, search content, get analytics, and handle comments. Always search tools first for current schemas.

5k tokens needs MCP
Scientific Visualization
by K-Dense-AI
×1

Create and audit truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly. Use for figure design, multi-panel layouts, uncertainty and missing-data displays, color/contrast review, image metadata validation, and journal export planning.

48k tokens scripts
Video Comparer
by nicepkg
×1

This skill should be used when comparing two videos to analyze compression results or quality differences. Generates interactive HTML reports with quality metrics (PSNR, SSIM) and frame-by-frame visual comparisons. Triggers when users mention "compare videos", "video quality", "compression analysis", "before/after compression", or request quality assessment of compressed videos.

24k tokens scripts
Pyimagej Fiji Bridge
by BioTender-max
×1

Python bridge to ImageJ2/Fiji for macros, plugins (Bio-Formats, TrackMate, Analyze Particles), NumPy↔ImagePlus/ImgLib2 exchange, and ImageJ Ops. Automates Fiji headlessly from Python. Use scikit-image for pure Python without Fiji plugins; napari for visualization.

6k tokens
Threejs Skills
by ComeOnOliver
×1

Create 3D scenes, interactive experiences, and visual effects using Three.js. Use when user requests 3D graphics, WebGL experiences, 3D visualizations, animations, or interactive 3D elements.

7k tokens
Chart Image
by zebbern

Generate publication-quality PNG chart images from data, supporting line, bar, area, candlestick, pie, and heatmap charts. Triggers when the user asks to visualize data, create a graph, plot a time series, or generate a chart for a report, alert, or dashboard. Runs as a lightweight, headless Node.js process without a browser.

19k tokens scripts
Tao Analyze Changenet Rca
by NVIDIA
vendor

Performs deep Root Cause Analysis (RCA) on NVIDIA TAO Visual ChangeNet classification experiments with image-evidence-driven investigation. Use when analyzing ChangeNet model failures, investigating poor recall / FAR / PASS-NO_PASS metrics, auditing visual inspection pipeline quality, or running an RCA report for an AOI defect-detection model. Trigger phrases include "RCA on my ChangeNet model", "why is my AOI model failing", "audit ChangeNet predictions", "investigate FAR regressions", "root cause analysis on visual-changenet".

22k tokens scripts
Threejs
by mrgoonie

Build 3D web apps with Three.js (WebGL/WebGPU). Use for 3D scenes, animations, custom shaders, PBR materials, VR/XR experiences, games, data visualizations, product configurators.

37k tokens

How to use it

Copy the folder

Take daymade/twitter-reader from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.