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    UI State Coverage Analyzer

    1

    Audit frontend components for missing loading, error, empty, and edge-case UI states.

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    UI State Coverage Analyzer

    UI State Coverage Analyzer

    Example session with this skill installed

    Audit this React search results component for state coverage. It currently shows a list of items or a 'not found' message. [Component code attached]

    • Read your context and instructions
    • Compiled the ui state coverage

    I have analyzed the SearchResults component. While the happy path and basic empty state are handled, there are critical gaps in loading feedback, error recovery, and partial data rendering.

    UI State Coverage Audit

    1. Executive Summary

    The component has 60% state coverage. The primary risk is a "flash of empty content" during API fetches because the loading state is not visually distinct from the "no results" state.

    2. State Coverage Matrix

    ComponentIdleLoadingSkeletonEmptyNo ResultsErrorPartial
    SearchInputPresentN/AN/APresentN/AN/AN/A
    ResultsListPresentMissingMissingWeakPresentMissingMissing
    PaginationPresentDisabledN/AHiddenHiddenHiddenN/A

    3. Critical Gaps

    • Gap: Missing Loading/Skeleton State.
      • Impact: High. Users see a blank screen for 1-3 seconds, leading to perceived latency or brokenness.
      • Fix: Implement a skeleton row that matches the ResultCard layout.
    • Gap: No Error Recovery.
      • Impact: Medium. If the API fails, the component currently renders nothing.
      • Fix: Add an ErrorBoundary or local error state with a "Retry Search" button.

    4. Recommended State Definitions

    // Suggested state additions for SearchResults.tsx
    if (isLoading) return <SearchSkeleton />;
    if (error) return <ErrorMessage message={error.message} onRetry={fetchData} />;
    if (results.length === 0) return <EmptyResults query={query} />;
    

    Next steps

    • Add a loading boolean to the component's state hook.
    • Create a ResultCardSkeleton component to prevent layout shift.
    • Update the ARIA live region to announce when search results are being updated.

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    About this skill

    The problem

    Developers often focus on the "happy path," leaving edge case UI states as an afterthought. This leads to broken layouts, confusing empty screens, and frustrating error messages that offer no recovery path for the user.

    What it does

    • Identifies missing UI states like skeleton loaders, partial data failures, and no-results views.
    • Generates a comprehensive State Coverage Matrix for every component in your view.
    • Audits error handling for specific recovery actions and data preservation.
    • Evaluates accessibility markers like aria-busy and focus management during state transitions.
    • Prioritizes fixes based on user impact, task criticality, and implementation effort.

    Frameworks & tools

    Works with React, Vue, Svelte, Tailwind CSS, Figma screenshots, and raw HTML/CSS. Analyzes logic in TypeScript/JavaScript frontend code.

    Why this beats prompting it yourself

    General-purpose LLMs usually give surface-level design feedback. This skill follows a rigorous multi-step inventory process to ensure you do not miss obscure states like "permission denied" or "optimistic pending" that are often skipped in a standard prompt.

    Use cases

    • Auditing a new dashboard feature before it hits production.
    • Mapping out state requirements for a design system component.
    • Debugging "blank screen" issues by identifying missing loading or error boundaries.
    • Reviewing accessibility and responsive behavior for interactive elements.

    Known limitations

    Cannot verify actual network latency or server-side timing. Accuracy on accessibility depends on the level of code or metadata provided.

    Cannot simulate real network latency. Accessibility audits are based on code structure/attributes, not live screen reader testing. Best results require both code and visual context.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

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    2. 2

      Sign in to Agensi

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    3. 3

      Ask for what you need

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    Listed1 month ago

    What's inside

    Frequently Asked Questions

    This skill performs a multi-step audit of your frontend components to identify missing UI states like skeleton loaders, error boundaries, and empty views that are often overlooked during development. It generates a detailed State Coverage Matrix to ensure your application handles edge cases gracefully, preventing "blank screen" issues for users.

    The analyzer is compatible with major frameworks including React, Vue, and Svelte, and can process content from TypeScript/JavaScript files, Figma screenshots, or raw HTML/CSS. It works seamlessly with any AI agent that supports file uploads or text-based code input.

    No complex installation is required; simply provide the skill with your component code, a screenshot, or a description of your view logic. The agent will then process the input and output a prioritized list of missing states and accessibility improvements.

    Yes, your purchase includes lifetime access to the skill, including all future updates and optimizations for new UI patterns or framework versions. You will receive notifications through the marketplace whenever the logic is refined to handle new industry standards.

    The skill focuses on identifying structural and logic-based gaps in your UI states, such as missing recovery actions in error messages or incorrect aria-busy markers. While it can suggest improvements for accessibility, the depth of the audit depends on the quality of the metadata and code provided in your initial input.

    New in Frontend & Web Apps