{"product_id":"ai-agent-skill-test-ui-features-in-pizzapi-sandbox","title":"AI Agent Skill: Test UI Features in PizzaPi Sandbox","description":"\u003ch3\u003eAI Agent Skill: Test UI Features in PizzaPi Sandbox\u003c\/h3\u003e\n\n\u003cp\u003eThis AI agent skill facilitates the end-to-end testing of UI features within the PizzaPi sandbox using a headless browser. It aids developers in verifying the integration and functionality of new UI components, ensuring they work accurately before merging them into production.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eUtilises the PizzaPi sandbox, a full server environment with mock sessions, runners, and services.\u003c\/li\u003e\n    \u003cli\u003eEmploys \u003ccode\u003eplaywright-cli\u003c\/code\u003e to drive browser interactions against the sandbox for comprehensive tests.\u003c\/li\u003e\n    \u003cli\u003eVerifies rendering and functionality of new UI components in a full application context.\u003c\/li\u003e\n    \u003cli\u003eTests service panel iframe loading via tunnel proxy.\u003c\/li\u003e\n    \u003cli\u003eChecks authentication flows, including login and session management.\u003c\/li\u003e\n    \u003cli\u003eConducts visual regression checks to ensure consistency across UI branches.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eSoftware developers integrating UI components into existing applications.\u003c\/li\u003e\n    \u003cli\u003eQuality assurance teams responsible for validating end-to-end UI functionality.\u003c\/li\u003e\n    \u003cli\u003eDevelopment teams using AI coding agents like Claude Code, Cursor, and Codex.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eTesting UI components in isolation before merging them into the main codebase.\u003c\/li\u003e\n    \u003cli\u003eEnsuring new service panels and visual elements conform to user expectations and requirements.\u003c\/li\u003e\n    \u003cli\u003eSimulating and verifying user authentication processes in a controlled environment.\u003c\/li\u003e\n    \u003cli\u003eIdentifying and rectifying visual regressions and inconsistencies before deployment.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n    \u003cli\u003eRelies on the PizzaPi sandbox located at \u003ccode\u003epackages\/server\/tests\/harness\/sandbox.ts\u003c\/code\u003e.\u003c\/li\u003e\n    \u003cli\u003eRequires \u003ccode\u003escreen\u003c\/code\u003e and \u003ccode\u003eplaywright-cli\u003c\/code\u003e tools for interaction and testing automation.\u003c\/li\u003e\n    \u003cli\u003eUses mock sessions and services to simulate a complete server environment.\u003c\/li\u003e\n    \u003cli\u003e\n\u003ccode\u003eplaywright-cli\u003c\/code\u003e facilitates browser interactions including element selection, UI navigation, and screenshot capturing.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c!-- mcpcart:static-blocks:start --\u003e\n\u003chr\u003e\n\u003ch3\u003eSource \u0026amp; Licence\u003c\/h3\u003e\n\u003cp\u003eThis package is built on open-source work published by \u003cstrong\u003ePizzaface\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/Pizzaface\/PizzaPi\" rel=\"nofollow noopener\" target=\"_blank\"\u003ePizzaface\/PizzaPi\u003c\/a\u003e) and distributed under \u003cstrong\u003eApache-2.0\u003c\/strong\u003e. The original licence text and copyright notice are included in your download.\u003c\/p\u003e\n\u003cp\u003ePersonal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be retained.\u003c\/p\u003e\n\u003cp\u003eYour purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.\u003c\/p\u003e\n\u003ch3\u003eDelivery \u0026amp; Support\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDelivery:\u003c\/strong\u003e instant — a secure download link is emailed to you as soon as payment is confirmed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e ZIP archive containing the skill files, documentation and the original licence.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport:\u003c\/strong\u003e \u003ca href=\"mailto:support@mcpcart.com\"\u003esupport@mcpcart.com\u003c\/a\u003e — we aim to reply within 2 business days.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpdates:\u003c\/strong\u003e updates are included only where stated on this page.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRefunds\u003c\/h3\u003e\n\u003cp\u003eThis is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.\u003c\/p\u003e\n\u003cp style=\"font-size:0.85em;color:#666;\"\u003eClaude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:end --\u003e","brand":"MCP Cart","offers":[{"title":"Default Title","offer_id":53090169094455,"sku":"MCP-PIZZAFACE-PIZZAPI-TESTING-SANDBOX-UI","price":62.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/HE56PmaJQD2kNGJ3mCdto_f41ba2a448b542b8af7cb9659b3bcad3.jpg?v=1791108314","url":"https:\/\/mcpcart.com\/products\/ai-agent-skill-test-ui-features-in-pizzapi-sandbox","provider":"SPF PRO","version":"1.0","type":"link"}