article-extractor

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.

Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security

Installation for Agentic Skill

View all platforms →

Claude Code (CLI) Fast

skilz install I-Onlabs/claude-code-skills/article-extractor

OpenCode (CLI) Fast

skilz install I-Onlabs/claude-code-skills/article-extractor --agent opencode

OpenAI Codex (CLI) Native

skilz install I-Onlabs/claude-code-skills/article-extractor --agent codex

Gemini CLI (Project) Project

skilz install I-Onlabs/claude-code-skills/article-extractor --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding assistants

Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...

View All Agents

For Claude Desktop Easy

Download Agent Skill ZIP

Extract and copy to ~/.claude/skills/ then restart Claude Desktop

Manual Installation

1. Clone the repository:

git clone https://github.com/I-Onlabs/claude-code-skills

2. Copy the agent skill directory:

cp -r claude-code-skills/article-extractor ~/.claude/skills/

Owner: I-Onlabs (GitHub)
Repository: claude-code-skills
Type: Non-Technical
Meta-Domain: general
Primary Domain: general
Sub-Domain: javascript react code
Market Score: 70

Agentic Skill Grades →

Agent Skill Grade

Score: 70/100 Click to see breakdown

Score Breakdown

Spec Compliance

12/15

PDA Architecture

13/30

Ease of Use

24/25

Writing Style

8/10

Utility

20/20

Modifiers: -7

Areas to Improve

Lack of Layered Structure
Missing Table of Contents

Recommendations

Focus on improving Pda (currently 13/30)
Address 1 high-severity issues first
Add trigger phrases to description for discoverability

Graded: 2026-01-19

Developer Feedback

I took a look at your article-extractor skill and wanted to share some thoughts.

Links:

The TL;DR

You're at 70/100, solidly in C territory. The skill's built on solid fundamentals—your Utility scores a perfect 20/20, which means this actually solves a real problem with good degrees of freedom. But Progressive Disclosure Architecture is dragging you down at 13/30. Based on Anthropic's best practices for agentic skills, this is really about structure and navigation efficiency.

What's Working Well

Utility is chef's kiss — You've nailed the core value prop. The skill addresses a clear need (clean article extraction), handles errors properly, and includes validation steps. That's the hard part.
Ease of Use is nearly perfect (24/25) — Your metadata, trigger phrases, and workflow clarity are all there. Developers will find and understand this easily.
Examples and templates are solid — You've included actual code patterns and complete workflows, not just theory.

The Big One: Layer Your Content

This is what's holding you back most. Right now you've got a 370-line SKILL.md file with everything crammed in—installation, methods, error handling, examples, all inline. That works at small scale, but it burns through tokens fast and makes navigation painful.

Here's the fix: Break it into a proper reference structure:

Keep SKILL.md as a ~80-100 line overview: metadata, quick description, 1-2 usage examples, and links to detailed docs
Move detailed installation to references/installation.md
Move each method (Puppeteer, Cheerio, Playwright, etc.) to its own file: references/method-puppeteer.md, etc.
Move error handling and edge cases to references/troubleshooting.md

This...

Browse Category

More general Agentic Skills

Report Security Issue

Found a security vulnerability in this agent skill?