Doc Site Analysis

About

The Doc Site Analysis skill provides a systematic framework for Claude to dissect API documentation pages, mapping out how endpoints, parameters, and code examples are organized. Instead of just extracting data, it focuses on discovering the underlying HTML architecture—such as index patterns, section boundaries, and CSS selectors—to inform the creation of deterministic web scrapers. This is particularly useful for developers building custom API clients or data integration tools that need to programmatically ingest documentation from various frameworks like Docusaurus, VuePress, or ReadMe.

Key Features

• Framework signature detection for common doc generators
• Detection of code block containers and language hints
• Endpoint index and navigation pattern mapping
• Edge case discovery for inconsistent heading IDs and broken links
• Automated identification of request and response parameter tables
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Use Cases

• Preparing to build a custom web scraper for complex API documentation
• Mapping third-party documentation structures to automate SDK generation
• Reverse-engineering documentation layouts to extract structured API metadata