twitter-reader
Fetch content from X/Twitter posts and articles into structured Markdown files with embedded media.
Install
mkdir -p .claude/skills/twitter-reader && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/1287" && unzip -o skill.zip -d .claude/skills/twitter-reader && rm skill.zipInstalls to .claude/skills/twitter-reader
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
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.Key capabilities
- →Fetch Twitter/X posts and articles
- →Download embedded media automatically
- →Generate Markdown with YAML frontmatter
- →Support batch fetching via shell scripts
How it works
Uses a Python script to fetch structured data and the Jina.ai API to retrieve content, then saves images locally and formats the output as Markdown.
Inputs & outputs
When to use twitter-reader
- →Archiving technical Twitter threads as notes
- →Downloading long-form X articles for offline reading
- →Saving media from social posts into documentation
- →Analyzing engagement metrics for a set of posts
About this skill
Twitter Reader
Fetch Twitter/X post and article content with full media support.
Reading a single post's text: fxtwitter first (2026-08-30)
For plain post text, prefer the fxtwitter mirror API — login-free, key-free,
works direct, and returns the full note_tweet body in tweet.text (the
full_text key does not exist; a 2,324-char long-form announcement came back
complete):
curl -sS --max-time 20 "https://api.fxtwitter.com/<user>/status/<id>" \
| python3 -c "import json,sys; t=json.load(sys.stdin)['tweet']; print(t['created_at']); print(t['text'])"
replies is a count, not the reply thread. For X Articles with images, use
fetch_article.py below — fxtwitter does not carry article bodies.
X Articles with images: fetch_article.py
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.aiAPI - Download all images to
attachments/YYYY-MM-DD-AUTHOR-TITLE/ - Generate complete Markdown with embedded image references
- Include YAML frontmatter with metadata
Metadata and plain article text come from twitter-cli; the image URLs ride in
the markdown Jina's reader returns. When Jina refuses (see the section below),
the script warns on stderr, keeps the twitter-cli text, and reports Images: 0.
The Markdown is still correct; it simply has no pictures. Images: 0 on an
article that visibly contains images is the signature of a Jina refusal.
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)
Jina's reader is intermittent, and its refusals look like success
Anonymous r.jina.ai access to x.com gets blocked for hours at a time when
third-party callers abuse the domain. The block hits every anonymous caller and
then expires on its own. Both states showed up minutes apart on 2026-09-12.
A refusal does not look like a failure. curl exits 0 and the body is a JSON
envelope:
{"data":null,"code":403,"name":"AbuseAlleviationError","status":40305,
"message":"Anonymous access to domain x.com blocked until <date> ..."}
A lapsed or unfunded key returns the same shape with "code":402, "name":"InsufficientBalanceError". curl --fail catches neither: this endpoint
answered HTTP 200 with the envelope in the body. The one signal that holds is
the Markdown Content: marker that Jina's reader puts in front of the article
body: no marker, no article. fetch_article.py tests for that marker before
accepting a response, which keeps a refusal envelope out of the generated
Markdown.
scripts/fetch_tweets.sh and scripts/fetch_tweet.py both require
JINA_API_KEY and have no second source to fall back to, so they stop working
whenever that key lapses. Both check the same marker and fail loudly on a
refusal — the Python one raises without writing the output file, the shell one
reports the URL on stderr and exits non-zero — rather than handing back an
envelope dressed up as a post. No key ships with this repository.
For simple text-only fetching:
# 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
- Intermittent availability (see the section above); both scripts require
JINA_API_KEYand have no fallback - Usable for quick text extraction while Jina is answering
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> ...
twitter-cli's 500-item ceiling belongs to the tool, not to X
This skill reads metadata through twitter-cli, so the tool's own limits apply.
twitter bookmarks and the other timeline commands stop at 500 items however
the config is written. That ceiling is a module constant in the client:
_ABSOLUTE_MAX_COUNT = 500 in twitter_cli/client.py, applied as
min(maxCount, 500) when the client is constructed. Both lines read from
version 0.8.5. X's own bookmark timeline goes far deeper than that.
Two consequences are easy to get wrong:
- A run that stops at exactly 500 stopped on its own counter and never reached the point of reading the next cursor. "The platform gave no further page" and "my loop finished" are different claims, and only the first one is evidence. A round number is a reason to look closer, not a boundary.
maxCounthas to sit under therateLimit:section of the config. Put it underfetch:and the client ignores it without any message, falling back to 200.
Going deeper means calling the GraphQL endpoint directly: the Bookmarks
operation with the client's own feature flags, parsed by
twitter_cli.parser.parse_timeline_response, paging until the platform stops
returning a cursor or returns the same cursor twice. Stop on the platform's
signal rather than on a count.
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
When not to use it
- →Real-time social media monitoring
- →Tasks requiring authentication to private accounts
Prerequisites
Limitations
- →Requires Jina API key for text-only fetching
- →Limited to public posts
How it compares
Automates the entire extraction and local media storage process instead of requiring manual copy-pasting.
Compared to similar skills
twitter-reader side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| twitter-reader (this skill) | 5 | 5mo | Review | Beginner |
| qmd | 26 | 4mo | Review | Intermediate |
| biorxiv-database | 7 | 11mo | Review | Beginner |
| read-arxiv-paper | 16 | 6mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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