What problem does it solve? Websites are increasingly accessed by AI agents that browse, fill forms, and act for users, but most sites lack the accessibility semantics, discovery files, and access policies required for reliable agent operation. This skill audits and fixes agent readiness using Google's Lighthouse Agentic Browsing category and primary-source vendor guidance. ## Core Features & Use Cases - Lighthouse Agentic Browsing Audit: Measures the X/N fraction across mobile and desktop, explaining each audit status and the paths that add counted audits. - Accessibility & Discovery Checks: Validates the accessibility tree, server-rendered content, robots.txt Content-Signal, llms.txt, ai-catalog.json, and WebMCP markup. - Fix Drafting: Generates robots.txt Content-Signal lines, llms.txt files, ai-catalog.json entries, and WebMCP tool drafts for review without deploying changes. - Use Case: An SEO agency audits a client e-commerce site for ChatGPT and Gemini browser compatibility, receives a prioritized P0-P3 action plan, and drafts compliant robots.txt and llms.txt files. ## Quick Start Run an agentic readiness audit on https://example.com and report the Lighthouse fraction with prioritized fixes.