Enables AI coding agents to discover, understand, and fix product issues (UX inconsistencies, accessibility violations, quality problems) identified by Skippr's browser extension through natural language commands.
Enables coding agents to capture pixel-accurate screenshots and DOM state from localhost apps, receive user-drawn instructions and reference images, and manage implementation review cycles.
Enables coding agents to run an evidence-backed visual QA loop for browser interfaces, including inspecting a running app, retrieving findings with screenshots, and rechecking only the captures affected by a fix.
Enables coding agents to inspect live browser runtime evidence, such as blocking elements and interaction surfaces, and to independently verify whether a code fix resolved the issue.
Enables coding agents to access local browser diagnostics—runtime errors, console logs, network failures, breadcrumbs, DOM snapshots, and screenshots—and run closed-loop verification to debug and confirm fixes.