What problem does it solve? Manual web browsing for testing, scraping, and form automation is slow and error-prone, and raw DOM dumps overwhelm AI agents with irrelevant markup. This Skill provides browser automation with compact accessibility-tree snapshots that reduce context usage by 93% through element references. ## Core Features & Use Cases - AI-Optimized Snapshots: Capture interactive elements only with stable refs (@e1, @e2) instead of full DOM trees, making page state cheap to reason about. - Full Interaction Set: Click, fill, type, hover, select, scroll, and wait for elements, text, URLs, or network idle states. - Isolated Sessions: Run parallel browser sessions with saved authentication state for multi-agent or swarm workflows. - Use Case: Automate a login flow by opening the page, snapshotting interactive elements, filling credentials via refs, clicking submit, and waiting for the dashboard URL. ## Quick Start Ask the agent to open a website with the browser skill, take an interactive snapshot, and click or fill elements using the returned refs.