Capture CSS animations from HTML templates into GIFs using Playwright.
npx skills add https://github.com/savinomarketing/claude-skills --skill html-gif
Please help me install this Agent Skill. Skill: html-gif Source: https://github.com/savinomarketing/claude-skills/tree/main/html-gif Command: npx skills add https://github.com/savinomarketing/claude-skills --skill html-gif
Converts HTML/CSS animations into lightweight branded GIFs, enabling quick, consistent visuals for social media and marketing without manual frame-by-frame editing.
Copy a skill template into your project, customize assets/templates/demo.html as needed, and run the capture script to generate a GIF.
High-intent search queries and answers about installing and using this skill.
To convert HTML CSS animations to GIF, this Skill uses a local Python pipeline with Playwright to capture browser frames, then Pillow and imageio to process them into a lightweight animated image. It automates frame capture and color quantification for marketing visuals.
Yes, you can use Playwright to capture CSS animation frames for a branded GIF. The pipeline leverages Playwright for browser-accurate frame capture, ensuring your HTML/CSS visual renders correctly before assembling the frames with imageio.
The best way to automate social media GIF creation from HTML templates is by customizing the demo.html file via CSS variables and running the capture script. This deduplicates frames and quantifies colors to output lightweight animated images.
Yes, you need Python dependencies installed to generate GIFs from HTML. The workflow requires a local environment with Playwright, Pillow, imageio, and numpy to execute the frame capture and image processing pipeline effectively.
Yes, you can upload your generated GIF to Giphy directly from this workflow. The pipeline includes an optional upload feature where you can assign a title and tags to your branded animation before sharing it.
HTML to GIF animations may produce large file sizes due to high frame counts or color depth. This pipeline mitigates that by quantifying colors and deduplicating frames during processing to ensure the final animated image remains lightweight.
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