60fps Demo Video Creation with AI for Web Apps

60fps Demo Video Creation with AI for Web Apps

This AI agent skill produces high-quality, 60fps product demo videos of web applications using a minimalistic pipeline that integrates Playwright for frame capture with a multiprocess Pillow compositor directly streaming into ffmpeg. It facilitates the creation of polished, smooth-slow motion video demonstrations without relying on Node or Remotion.

What this skill does

• Captures the web app's interface in a deterministic one-frame-per-step manner using Playwright, ensuring true 60fps playback regardless of capture speed.
• Renders frames with a multiprocess Pillow compositor to add visual elements such as gradient backgrounds, rounded windows with soft shadows, vector cursors, click pulses, keyboard-shortcut keycaps, and a cinematic push-in and out effect.
• Streams the composited frames directly into ffmpeg to create a final 60fps H.264 output without generating intermediate files.
• Ingests manually operated takes recorded using the included Chrome extension, which captures tab content and logs input events, for consistent integration into the same production pipeline.
• Supports HD=1 mode to re-render captures at retina resolution, providing an option for higher quality outputs.

Who it is for

• Software engineers and developers looking to create demonstration videos for web applications.
• Development teams using AI coding agents such as Claude Code, Cursor, and Codex.
• Technical content creators tasked with producing instructional or promotional materials for web-based solutions.

Use cases

• Creating instructional demo videos or feature walkthroughs of web applications with enhanced visual features.
• Producing screencasts showcasing updates or new functionality for software documentation or training purposes.
• Integrating video demonstrations into presentations or web-based user manuals.

Technical details

• Utilises Playwright for deterministic frame capture per application step and meta.json for camera and mouse timelines.
• Employs Pillow for rendering visual effects and compositing, outputting directly into an ffmpeg process coded for 60fps H.264, bt709 encoding.
• Requires Python and relevant libraries for optimal functionality.

Source & Licence

This package is built on open-source work published by surajshetty3416 (surajshetty3416/demo-video-skill) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your 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.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This 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.

Claude, 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.