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    HTML Video Composer Skill

    1

    Compose deterministic, render-ready HTML and CSS video scenes for automated MP4/WebM production pipelines.

    $4.99

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    HTML Video Composer Skill

    HTML Video Composer Skill

    Example session with this skill installed

    Create a 15-second branded title card and one product step for a 1080x1920 mobile video. Include a logo placeholder, a 'New Feature' heading, and a render checklist for WebM export.

    • Read your context and instructions
    • Compiled the html video composer

    I have designed the scene plan and technical composition for your mobile video asset. The layout is optimized for a 9:16 aspect ratio with high-contrast typography and deterministic CSS animations.

    Video Composition Plan

    Scene IDDurationElementAnimationSafe Zone
    SCENE_010:00-0:05Branded TitleFade-in + ScaleCenter
    SCENE_020:05-0:15Product StepSlide-left + RevealBottom-Third

    Technical Implementation

    <!-- Scene 1: Branded Title Card -->
    <div id="scene-01" class="scene" data-duration="5000">
      <div class="safe-area">
        <div class="logo-placeholder"></div>
        <h1 class="animate-reveal">New Feature</h1>
      </div>
    </div>
    
    <style>
    .scene {
      width: 1080px;
      height: 1920px;
      background: #000;
      display: flex;
      justify-content: center;
      align-items: center;
      overflow: hidden;
    }
    
    .animate-reveal {
      font-family: 'Inter', sans-serif;
      font-size: 80px;
      color: #FFFFFF;
      opacity: 0;
      transform: translateY(20px);
      animation: reveal 0.8s forwards ease-out;
    }
    
    @keyframes reveal {
      to {
        opacity: 1;
        transform: translateY(0);
      }
    }
    </style>
    

    Rendering Configuration

    • Dimensions: 1080 x 1920 (9:16 Vertical)
    • Frame Rate: 30 fps or 60 fps recommended
    • Target Format: WebM (VP9 / Opus)
    • Renderer Requirements: Ensure font-display: block is set to prevent FOIT during frame capture.

    Next steps

    • Replace .logo-placeholder with your SVG or PNG asset path.
    • Test the .animate-reveal timing in a headless browser to ensure frame consistency.
    • Verify the WebM codec support on your specific target deployment platform.

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

    About this skill

    Generating high-quality video content shouldn't require heavy video editing software that breaks version control. This skill enables a code-first approach to motion graphics, turning scripts and briefs into deterministic HTML, CSS, and JavaScript compositions. It solves the problem of manual, non-reproducible video editing by treating video scenes as structured code that is ready for MP4 or WebM rendering through HyperFrames or similar pipelines.

    What it does

    • Scene Planning converts scripts into structured timelines with explicit durations, safe areas, and transition logic.
    • HTML/CSS Composition builds render-ready layouts using semantic code, ensuring consistent typography and visual hierarchy.
    • Product Tours automates the creation of UI mockups, cursor movements, and step-by-step reveals based on screenshots.
    • Timeline Synchronization ensures deterministic animation timing tied to frame counts rather than browser wall-clock time.
    • Export Configuration generates technical specifications for resolution, frame rates, codecs, and audio synchronization.

    How it works

    1. Define the video objective, target duration, aspect ratio, and brand assets.
    2. Generate a scene-by-scene breakdown including text, visual assets, and animation exit conditions.
    3. Draft the technical implementation using HTML for structure and CSS for motion and layout.
    4. Validate the composition against a render checklist for font loading, asset dependencies, and safe-zone compliance.

    Frameworks & tools

    The skill focuses on HTML5, CSS3, and JavaScript, specifically optimized for HyperFrames-compatible workflows and headless browser renderers like Puppeteer or Playwright for MP4/WebM output.

    Why this beats prompting it yourself

    Standard LLMs often treat video as a visual-only medium, ignoring the technical constraints of deterministic rendering and title-safe areas. This skill enforces strict timeline logic and render-ready code structures that prevent layout shifts and timing drift during the export process.

    Use cases

    • Generating branded title cards and lower thirds for automated social media workflows.
    • Creating step-by-step product walkthroughs with synchronized captions and UI highlights.
    • Producing data-driven motion graphics that react to external timing markers or audio analysis.
    • Building template-based video assets for mass-scale personalized video generation.

    Known limitations

    Does not perform actual video encoding or file exporting. Requires a separate rendering pipeline to convert HTML to video files. Codec support depends entirely on the buyer's environment.

    Requires a third-party rendering pipeline for file export. Does not perform real-time audio analysis. Codec and font support are environment-dependent.

    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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    Listed15 days ago

    What's inside

    Frequently Asked Questions

    Unlike standard AI prompts that focus on visuals, this skill generates code specifically optimized for frame-accurate rendering, ensuring animations are tied to frame counts to prevent timing drift during MP4 export.

    This skill provides the logic and code for video compositions; you will need a separate rendering pipeline, such as HyperFrames, Puppeteer, or Playwright, to convert the resulting HTML/CSS into a final video file.

    The skill is designed for use with advanced LLMs (like GPT-4 or Claude 3.5) and is compatible with most AI agent platforms that support multi-step task execution and code generation.

    You receive the core logic and structured workflows necessary to generate render-ready scenes, including scene planning templates and deterministic CSS animation structures.

    Yes, the skill is specifically designed to handle data-driven motion graphics, making it ideal for creating personalized video templates that react to external variables or timing markers.

    The skill generates standard HTML5, CSS3, and JavaScript, meaning the code is highly portable and will work in any modern headless browser environment configured for video capture.

    New in Workflow Automation