About
The Documentation Scraper skill provides a robust framework for converting web-based documentation into high-quality, searchable reference data. It automates the extraction process using configurable CSS selectors and URL patterns, mapping site content into logical categories like API references, guides, and tutorials. Designed specifically for agentic coding workflows, it includes built-in mitigations for common LLM failure modes, such as grounding checks via robots.txt verification and uncertainty escalation when selectors are ambiguous, ensuring reliable output for building Claude skills or local knowledge bases.