wikimedia-ml-services
CommunityEmpower your AI with Wikimedia's ML tools for content assessment, quality scoring, and topic analysis.
Product & Management#readability#machine learning#translation#wikimedia#quality scoring#article quality#topic classification
Authorfuzheado
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enhances your AI's ability to analyze content, predict risks, and provide actionable insights for Wikipedia articles using cutting-edge Wikimedia ML APIs.
Core Features & Use Cases
- Content Quality Analysis: Assess article quality, readability, and the need for citations.
- Revert Risk Prediction: Determine the likelihood of edits being reverted due to vandalism or poor quality.
- Topic Classification: Identify the main topics and categories of Wikipedia articles.
- Translation Recommendations: Generate language translation suggestions for multilingual content.
- Use Case: Integrate this Skill into a research assistant to provide accurate article quality assessments and topic recommendations for Wikipedia editing tasks.
Quick Start
Use the wikimedia-ml-services skill to get a quality score for the article 'Albert Einstein'.
Dependency Matrix
Required Modules
wikimedia-api-access
Components
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: wikimedia-ml-services Download link: https://github.com/fuzheado/Wikipedia-AI-Skills/archive/main.zip#wikimedia-ml-services Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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