by AgriciDaniel · Claude Skill · ★ 109
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On-Page SEO Analyzer A comprehensive on-page SEO analysis tool that helps you audit and optimize your website's SEO performance. Analyze up to 500 pages at once with detailed insights on 74 SEO metrics. How It Was Built Watch the journey from n8n workflow to full app on YouTube Features Page Discovery: Automatically discover pages on your website using Firecrawl Comprehensive Analysis: Analyze 74 SEO metrics per page using DataForSEO Core Web Vitals: Track LCP, FID, and CLS scores Real-time Progress: Watch your audit progress with live updates Export Results: Download reports as CSV or JSON Dark Mode: Full dark mode support Tech Stack Frontend: React 19 with TypeScript Vite for blazing fast builds TanStack Router & React Query Tailwind CSS with Shadcn/ui components Recharts for data visualization Backend: Node.js with Express SQLite database (better-sqlite3) TypeScript Firecrawl API for page discovery DataForSEO API for SEO analysis Prerequisites Node.js 18+ npm or yarn Firecrawl API Key DataForSEO Account Quick Start Clone the repository
| Stars | 109 |
| Forks | 37 |
| Language | TypeScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 61.262/100 |
| Open Issues | 4 |
| Last Updated | 2026-06-06 |
| Created | 2026-01-03 |
| Platforms | browser, claude-code, node |
| Est. Tokens | ~94k |
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on-page-seo is On-Page SEO Analyzer - Analyze your website's SEO performance. It is categorized as a Claude Skill with 109 GitHub stars.
on-page-seo is primarily written in TypeScript. It covers topics such as ai, ai-seo, claude-code.
You can find installation instructions and usage details in the on-page-seo GitHub repository at github.com/AgriciDaniel/on-page-seo. The project has 109 stars and 37 forks, indicating an active community.
on-page-seo is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to on-page-seo on Agent Skills Hub include founder-marketing-skills, latex-document-skill, daymon. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.