What problem does it solve? AI coding agents lack structured engineering workflows and fast, stateful browser automation, leading to unreviewed code, skipped QA, and slow multi-second browser commands that lose login state between calls. ## Core Features & Use Cases - Specialist workflow skills: Over 20 slash-command skills covering CEO-level plan review, engineering review, design audits, systematic debugging, QA in a real browser, PR shipping, security audits, and retrospectives. - Persistent headless browser: A compiled CLI talks to a long-lived Chromium daemon over localhost HTTP, giving ~100ms commands, persistent cookies and tabs, ref-based element selection via the accessibility tree, and cookie import from real browsers. - Safety guardrails: Skills like /careful, /freeze, and /guard warn or block destructive commands and restrict edits to specific directories. - Use Case: A developer runs /plan-eng-review to lock architecture, /qa to open a real browser and verify the app, then /ship to run tests, review, and open a PR — all as guided AI workflows. ## Quick Start Ask the agent to run the /office-hours skill to reframe your product idea before writing any code.