A comprehensive toolset for auditing and optimizing HTML/CSS websites to improve search engine visibility and technical performance.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install seo-optimizer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install seo-optimizer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The SEO Optimizer is a specialized skill designed to automate the detection and resolution of search engine optimization issues within web projects. By utilizing these Openclaw Skills, developers can perform deep scans of their HTML and CSS files to identify missing metadata, improper heading structures, and accessibility gaps that hinder search rankings.
This skill goes beyond simple analysis by providing actionable workflows for implementing social media meta tags, canonical URLs, and mobile-first configurations. It serves as a technical bridge between web development and digital marketing, ensuring that every project is built on a foundation of SEO best practices and semantic HTML standards.
To start using these Openclaw Skills, you need a Python environment to run the included optimization scripts. Use the following commands to analyze your project:
# Analyze a specific directory for SEO issues and generate a report
python scripts/seo_analyzer.py ./public
# Generate a production-ready XML sitemap
python scripts/generate_sitemap.py ./public https://yourdomain.com ./public/sitemap.xml
The skill manages SEO data through standardized reporting and configuration files:
| Data Component | Purpose | Output Format |
|---|---|---|
| SEO Audit Report | Lists issues, warnings, and passing tests | Text or JSON |
| Sitemap | Map of all crawlable URLs and last modified dates | XML |
| robots.txt | Crawler instructions and sitemap reference | Plain Text |
| Structured Data | Schema.org implementations (Article, Product, etc.) | JSON-LD |
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