website rebuild and qa studio

    1

    Rebuilds or migrates websites from URLs and screenshots with evidence-based QA and traceability.

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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    website rebuild and qa studio

    Example session with this skill installed

    Rebuild the landing page at https://example-startup.com into a clean Next.js and Tailwind project. Use the live site as the source of truth for all spacing and colors.

    • Read your context and instructions
    • Compiled the website rebuild

    I have completed the rebuild of the landing page from https://example-startup.com into a Next.js 14 project using Tailwind CSS. All styles were extracted from the live computed CSS to ensure fidelity. I have stored the source assets in source/ and the new implementation in rebuild/.

    Rebuild and QA Handoff

    The project is now a functional Next.js application. I have mapped all legacy CSS classes to their nearest Tailwind equivalents or custom theme extensions to maintain the exact 24px gutter and #0f172a primary brand color observed in the source.

    QA Results Summary

    Test IDCategoryDescriptionResultEvidence / Notes
    L-01LayoutDesktop 1440 - Hero alignmentverifiedMatches computed offsets from source URL.
    R-01ResponsiveHamburger menu trigger at 768pxverifiedVerified transition via viewport resize.
    I-01InteractionContact form validationverifiedRegex matches source; error state visible.
    A-01AccessibilityARIA labels on navigationverifiedPreserved from source HTML.
    P-01PerformanceLCP under 2.5suntestedLab environment not available for timing.
    AT-01AssetImage integrityverifiedAll 12 assets fetched and optimized.

    Failed Items

    • None.

    Untested Items

    P-01 (Performance): I did not run a full Lighthouse or CrUX audit as the local environment does not simulate real-world latency.

    • Cross-browser: Testing was performed in a Chromium-based environment; Safari-specific rendering remains untested.

    Next steps

    1. Run npm install inside the rebuild/ directory and execute npm run dev to preview.
    2. Review rebuild/tailwind.config.js for the custom brand color palette.
    3. Check QA_HANDOFF.md for the full list of verified interactions.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The problem

    Manual website migrations and rebuilds often suffer from "drift" where styling, interactions, or accessibility features are lost or guessed at. Developers lack a structured way to prove that a rebuild matches the source evidence without tedious, error-prone manual checking.

    What it does

    • Extracts structure, styles, and assets from live URLs, screenshots, or legacy codebases to create an evidence-based inventory.
    • Scaffolds and rebuilds sites using a specified stack while preserving semantic HTML, ARIA attributes, and exact CSS values.
    • Reconstructs observed interactive behaviors like modals, dropdowns, and form validations based on source evidence.
    • Generates a comprehensive QA Handoff report that classifies every layout, responsive, and accessibility test as verified, failed, blocked, or untested.

    Frameworks & tools

    Works with React, Next.js, and static HTML/CSS. Uses standard web technologies including semantic HTML5, ARIA, and responsive breakpoints.

    Why this beats prompting it yourself

    Generic prompts often hallucinate missing details or use placeholders like Lorem Ipsum. This skill enforces a strict evidence-driven workflow, ensuring every hex code and interaction is traced back to a source artifact rather than guessed. It prevents "false greens" in QA by explicitly marking unrun tests as untested instead of claiming success.

    Use cases

    • Migrating a legacy jQuery or static site to a modern React/Next.js framework.
    • Reconstructing a lost website design using only a set of high-fidelity screenshots.
    • Auditing a finished rebuild against a live reference to identify layout and accessibility regressions.
    • Repairing broken responsive behavior or missing assets on a partially completed migration.

    Known limitations

    Requires explicit authorization or public domain status for target URLs. Performance metrics like LCP may be marked as untested if a lab environment is not accessible.

    Requires authorization for live URL fetching. Performance lab tests and specific mobile hardware checks may be marked 'untested' if the environment lacks specific measurement tools.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed2 months ago

    What's inside

    Frequently Asked Questions

    The skill analyzes source URLs or screenshots to extract CSS values, HTML structure, and interactive logic, then reconstructs them in your chosen stack (React, Next.js, or HTML/CSS) while maintaining strict visual and functional fidelity.

    Unlike generic prompts that might guess styles, this skill uses an evidence-based inventory to ensure every hex code and ARIA attribute is traced to the source, and it provides a QA Handoff report to verify every test case.

    It is compatible with modern AI agents capable of web browsing and file operations, specifically optimized for environments supporting React and Next.js development.

    The QA Handoff report explicitly classifies every layout, responsive, and accessibility test as verified, failed, blocked, or untested, preventing 'false greens' and ensuring full traceability of the rebuild.

    The skill can reconstruct layouts from high-fidelity screenshots, though providing a live URL or legacy code alongside them will result in more accurate interactive behaviors and CSS values.

    You receive the full skill workflow, including the automated evidence inventory logic, the reconstruction engine for React/Next.js, and the QA reporting templates.

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