Extract clean article content from web pages, removing ads and clutter to return readable Markdown with metadata.
Works with
Parses URLs or local HTML files and outputs clean Markdown with frontmatter (title, author, publication date, word count)
Supports JSON metadata extraction including featured images, domain, favicon, and parse timing
Includes a guided workflow: extract content, preview summary, save to user-specified directory, and confirm file location
Works best on article-style page
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiondefuddleExecute the skills CLI command in your project's root directory to begin installation:
Fetches defuddle from joeseesun/defuddle-skill and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate defuddle. Access via /defuddle in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
2
total installs
2
this week
91
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0
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Run in your terminal
2
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2
this week
91
stars
Extract main article content from web pages, removing ads, sidebars, navigation, and other clutter. Output clean Markdown with metadata.
Before first use, check if defuddle is installed:
command -v defuddle >/dev/null 2>&1 || npm install -g defuddle jsdom
When user provides a URL, follow this workflow:
Always use both -m and -j flags to get markdown content with full metadata:
defuddle parse "<url>" -m -j
Show the user:
title fieldauthor fieldwordCount fieldIf this is the first time using defuddle in this conversation, ask the user:
"Save to which directory? (e.g.
~/Documents,~/Desktop, or a custom path)"
Remember the user's chosen directory for subsequent uses in the same conversation.
Write the file with frontmatter + full content:
---
title: {title}
author: {author}
source: {url}
date: {published or "Unknown"}
clipped: {today's date YYYY-MM-DD}
wordCount: {wordCount}
---
# {title}
{markdown content}
File naming: Use the article title as filename, sanitized for filesystem:
The Shape of the Essay Field.mdTell the user the file path where it was saved.
defuddle parse <source> [options]
Arguments:
<source> — URL (https://...) or local HTML file pathOptions:
| Flag | Description |
|---|---|
-m, --markdown |
Convert content to Markdown |
-j, --json |
Output as JSON with full metadata |
-o, --output <file> |
Write to file instead of stdout |
-p, --property <name> |
Extract single property (title, description, domain, author, published, wordCount, content) |
--debug |
Verbose logging |
When using -j, the response includes:
title — Article titleauthor — Author namepublished — Publication datedescription — Meta descriptioncontent — Extracted Markdown (when -m used)domain — Source domainfavicon — Favicon URLimage — Featured image URLsite — Site namewordCount — Word countparseTime — Processing time in msjsdom is required as a peer dependencyMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
I recommend defuddle for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: defuddle is focused, and the summary matches what you get after install.
We added defuddle from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in defuddle — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: defuddle is focused, and the summary matches what you get after install.
I recommend defuddle for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
defuddle fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for defuddle matched our evaluation — installs cleanly and behaves as described in the markdown.
defuddle is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: defuddle is the kind of skill you can hand to a new teammate without a long onboarding doc.
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