article-extractor
Skill8 starsChanged 3 months agoApache-2.0View on GitHub
Extract clean article content from URLs (blog posts, articles, tutorials) and save as readable text. Use when user wants to download, extract, or save an article/blog post from a URL without ads, navigation, or clutter.
- Installs packages
We split this skill into the rules it gives an agent
6 rules. 0 are common, 5 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 31
Check for article extraction tools in this order:
- Distinctive: line 59
If no tools available, use basic curl + text extraction (less reliable but works)
- Very specific: line 282
Remove: /, :, ?, ", <, >, |
- Distinctive: line 292
No navigation, ads, or clutter
- Distinctive: line 322
Always show preview to user
- Distinctive: line 323
Ask if it looks correct
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Article Extractor
This skill extracts the main content from web articles and blog posts, removing navigation, ads, newsletter signups, and other clutter. Saves clean, readable text.
When to Use This Skill
Activate when the user:
- Provides an article/blog URL and wants the text content
- Asks to "download this article"
- Wants to "extract the content from [URL]"
- Asks to "save this blog post as text"
- Needs clean article text without distractions
How It Works
Priority Order:
- Check if tools are installed (reader or trafilatura)
- Download and extract article using best available tool
- Clean up the content (remove extra whitespace, format properly)
- Save to file with article title as filename
- Confirm location and show preview
Installation Check
Check for article extraction tools in this order:
Option 1: reader (Recommended - Mozilla's Readability)
command -v readerIf not installed:
npm install -g @mozilla/readability-cli
# or
npm install -g reader-cliOption 2: trafilatura (Python-based, very good)
command -v trafilaturaIf not installed:
pip3 install trafilaturaOption 3: Fallback (curl + simple parsing)
If no tools available, use basic curl + text extraction (less reliable but works)
Extraction Methods
Method 1: Using reader (Best for most articles)
# Extract article
reader "URL" > article.txtPros:
- Based on Mozilla's Readability algorithm
- Excellent at removing clutter
- Preserves article structure
Method 2: Using trafilatura (Best for blogs/news)
# Extract article
trafilatura --URL "URL" --output-format txt > article.txt
# Or with more options
trafilatura --URL "URL" --output-format txt --no-comments --no-tables > article.txtPros:
- Very accurate extraction
- Good with various site structures
- Handles multiple languages
Options:
--no-comments: Skip comment sections--no-tables: Skip data tables--precision: Favor precision over recall--recall: Extract more content (may include some noise)
Method 3: Fallback (curl + basic parsing)
# Download and extract basic content
curl -s "URL" | python3 -c "
from html.parser import HTMLParser
import sys
class ArticleExtractor(HTMLParser):
def __init__(self):
super().__init__()
self.in_content = False
self.content = []
self.skip_tags = {'script', 'style', 'nav', 'header', 'footer', 'aside'}
self.current_tag = None
def handle_starttag(self, tag, attrs):
if tag not in self.skip_tags:
if tag in {'p', 'article', 'main', 'h1', 'h2', 'h3', 'h4', 'h5', 'h6'}:
self.in_content = True
self.current_tag = tag
def handle_data(self, data):
if self.in_content and data.strip():
self.content.append(data.strip())
def get_content(self):
return '\n\n'.join(self.content)
parser = ArticleExtractor()
parser.feed(sys.stdin.read())
print(parser.get_content())
" > article.txtNote: This is less reliable but works without dependencies.
Getting Article Title
Extract title for filename:
Using reader:
# reader outputs markdown with title at top
TITLE=$(reader "URL" | head -n 1 | sed 's/^# //')Using trafilatura:
# Get metadata including title
TITLE=$(trafilatura --URL "URL" --json | python3 -c "import json, sys; print(json.load(sys.stdin)['title'])")Using curl (fallback):
TITLE=$(curl -s "URL" | grep -oP '<title>\K[^<]+' | sed 's/ - .*//' | sed 's/ | .*//')Filename Creation
Clean title for filesystem:
# Get title
TITLE="Article Title from Website"
# Clean for filesystem (remove special chars, limit length)
FILENAME=$(echo "$TITLE" | tr '/' '-' | tr ':' '-' | tr '?' '' | tr '"' '' | tr '<' '' | tr '>' '' | tr '|' '-' | cut -c 1-100 | sed 's/ *$//')
# Add extension
FILENAME="${FILENAME}.txt"Complete Workflow
ARTICLE_URL="https://example.com/article"
# Check for tools
if command -v reader &> /dev/null; then
TOOL="reader"
echo "Using reader (Mozilla Readability)"
elif command -v trafilatura &> /dev/null; then
TOOL="trafilatura"
echo "Using trafilatura"
else
TOOL="fallback"
echo "Using fallback method (may be less accurate)"
fi
# Extract article
case $TOOL in
reader)
# Get content
reader "$ARTICLE_URL" > temp_article.txt
# Get title (first line after # in markdown)
TITLE=$(head -n 1 temp_article.txt | sed 's/^# //')
;;
trafilatura)
# Get title from metadata
METADATA=$(trafilatura --URL "$ARTICLE_URL" --json)
TITLE=$(echo "$METADATA" | python3 -c "import json, sys; print(json.load(sys.stdin).get('title', 'Article'))")
# Get clean content
trafilatura --URL "$ARTICLE_URL" --output-format txt --no-comments > temp_article.txt
;;
fallback)
# Get title
TITLE=$(curl -s "$ARTICLE_URL" | grep -oP '<title>\K[^<]+' | head -n 1)
TITLE=${TITLE%% - *} # Remove site name
TITLE=${TITLE%% | *} # Remove site name (alternate)
# Get content (basic extraction)
curl -s "$ARTICLE_URL" | python3 -c "
from html.parser import HTMLParser
import sys
class ArticleExtractor(HTMLParser):
def __init__(self):
super().__init__()
self.in_content = False
self.content = []
self.skip_tags = {'script', 'style', 'nav', 'header', 'footer', 'aside', 'form'}
def handle_starttag(self, tag, attrs):
if tag not in self.skip_tags:
if tag in {'p', 'article', 'main'}:
self.in_content = True
if tag in {'h1', 'h2', 'h3'}:
self.content.append('\n')
def handle_data(self, data):
if self.in_content and data.strip():
self.content.append(data.strip())
def get_content(self):
return '\n\n'.join(self.content)
parser = ArticleExtractor()
parser.feed(sys.stdin.read())
print(parser.get_content())
" > temp_article.txt
;;
esac
# Clean filename
FILENAME=$(echo "$TITLE" | tr '/' '-' | tr ':' '-' | tr '?' '' | tr '"' '' | tr '<>' '' | tr '|' '-' | cut -c 1-80 | sed 's/ *$//' | sed 's/^ *//')
FILENAME="${FILENAME}.txt"
# Move to final filename
mv temp_article.txt "$FILENAME"
# Show result
echo "✓ Extracted article: $TITLE"
echo "✓ Saved to: $FILENAME"
echo ""
echo "Preview (first 10 lines):"
head -n 10 "$FILENAME"Error Handling
Common Issues
1. Tool not installed
- Try alternate tool (reader → trafilatura → fallback)
- Offer to install: "Install reader with: npm install -g reader-cli"
2. Paywall or login required
- Extraction tools may fail
- Inform user: "This article requires authentication. Cannot extract."
3. Invalid URL
- Check URL format
- Try with and without redirects
4. No content extracted
- Site may use heavy JavaScript
- Try fallback method
- Inform user if extraction fails
5. Special characters in title
- Clean title for filesystem
- Remove:
/,:,?,",<,>,| - Replace with
-or remove
Output Format
Saved File Contains:
- Article title (if available)
- Author (if available from tool)
- Main article text
- Section headings
- No navigation, ads, or clutter
What Gets Removed:
- Navigation menus
- Ads and promotional content
- Newsletter signup forms
- Related articles sidebars
- Comment sections (optional)
- Social media buttons
- Cookie notices
Tips for Best Results
1. Use reader for most articles
- Best all-around tool
- Based on Firefox Reader View
- Works on most news sites and blogs
2. Use trafilatura for:
- Academic articles
- News sites
- Blogs with complex layouts
- Non-English content
3. Fallback method limitations:
- May include some noise
- Less accurate paragraph detection
- Better than nothing for simple sites
4. Check extraction quality:
- Always show preview to user
- Ask if it looks correct
- Offer to try different tool if needed
Example Usage
Simple extraction:
# User: "Extract https://example.com/article"
reader "https://example.com/article" > temp.txt
TITLE=$(head -n 1 temp.txt | sed 's/^# //')
FILENAME="$(echo "$TITLE" | tr '/' '-').txt"
mv temp.txt "$FILENAME"
echo "✓ Saved to: $FILENAME"With error handling:
if ! reader "$URL" > temp.txt 2>/dev/null; then
if command -v trafilatura &> /dev/null; then
trafilatura --URL "$URL" --output-format txt > temp.txt
else
echo "Error: Could not extract article. Install reader or trafilatura."
exit 1
fi
fiBest Practices
- ✅ Always show preview after extraction (first 10 lines)
- ✅ Verify extraction succeeded before saving
- ✅ Clean filename for filesystem compatibility
- ✅ Try fallback method if primary fails
- ✅ Inform user which tool was used
- ✅ Keep filename length reasonable (< 100 chars)
After Extraction
Display to user:
- "✓ Extracted: [Article Title]"
- "✓ Saved to: [filename]"
- Show preview (first 10-15 lines)
- File size and location
Ask if needed:
- "Would you like me to also create a Ship-Learn-Next plan from this?" (if using ship-learn-next skill)
- "Should I extract another article?"
Other versions9 projects use a version of this.
Word for word · 3
- michalparkola/tapestry-skills-for-claude-code★ 557100% same
- michalparkola/tapestry-skills★ 538100% same
- AJBcoding/claude-skill-eval★ 4100% same
Edited · 2
- silvainfm/claude-skills★ 2100% same
- JSBtechnologies/claude-skills★ 1100% same
Wrote their own version · 4
- I-Onlabs/claude-code-skills★ 4same name
- opendatahub-io/docs-skills★ 4same name
- OpenxIntelligence/Coding-Agent-Skills★ 4same name
- AthArvA-188/top-10-claude-skills★ 3same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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