What problem does it solve? Browser automation for AI agents typically consumes excessive context tokens and requires verbose tooling. This Skill provides a CLI-driven browser automation workflow using compact accessibility snapshots with element refs, reducing context usage by roughly 93% compared to Playwright MCP while supporting long autonomous sessions, video recording, and cloud browsers. ## Core Features & Use Cases - Snapshot + Refs Workflow: Navigate pages, capture interactive element snapshots with stable @refs, then click, fill, and interact using those refs. - Full Browser Control: Screenshots, PDF export, video recording, network interception, cookie/storage management, multi-tab handling, and device emulation. - Cloud Browser Support: Native Browserbase integration for CI/CD pipelines and environments without a local browser. - Puppeteer Script Utilities: Companion scripts for auth injection, cookie import, console/network monitoring, WebSocket debugging, and ARIA snapshots. - Use Case: Run a self-verifying test loop where an agent opens a login page, snapshots the form, fills credentials via refs, submits, waits for the dashboard URL, and records a video of the session for debugging. ## Quick Start Ask the agent to open a URL with agent-browser, take an interactive snapshot, and click or fill elements using the returned refs.