What problem does it solve? Manually clicking through every page of a web app to find bugs, broken links, console errors, and responsive layout issues is slow and inconsistent. This Skill drives a headless browser to systematically test a running app, capture screenshot evidence, and file findings as GitHub issues. ## Core Features & Use Cases - Seven QA modes: test-and-fix, report-only, canary deploy monitoring, performance benchmarking, ad-hoc browsing, cookie import for authenticated testing, and an autonomous full-site visual crawl. - Visual crawl with evidence: discovers routes, screenshots each at desktop/tablet/mobile viewports, collects console errors, tests interactions, and compares observed styles against design tokens using ΔE2000 color distance. - Structured findings: classifies issues by category and priority (Critical through Low), groups related findings, and files them as GitHub issues via the publish workflow. - Use Case: After deploying a new frontend build, run a canary check to diff screenshots and Core Web Vitals against the pre-deploy baseline and get alerted on regressions over 20%. ## Quick Start Ask the agent to run a QA visual crawl of your local dev server and file any bugs it finds as GitHub issues.