7.3k★demo-video – OpenClaw Skill
demo-video is an OpenClaw Skills integration for coding workflows. Create product demo videos by automating browser interactions and capturing frames. Use when the user wants to record a demo, walkthrough, product showcase, or interactive video of a web application. Supports Playwright CDP screencast for high-quality capture and FFmpeg for video encoding.
Skill Snapshot
| name | demo-video |
| description | Create product demo videos by automating browser interactions and capturing frames. Use when the user wants to record a demo, walkthrough, product showcase, or interactive video of a web application. Supports Playwright CDP screencast for high-quality capture and FFmpeg for video encoding. OpenClaw Skills integration. |
| owner | cyberfront-ai |
| repository | cyberfront-ai/demo-video |
| language | Markdown |
| license | MIT |
| topics | |
| security | L1 |
| install | openclaw add @cyberfront-ai/demo-video |
| last updated | Feb 7, 2026 |
Maintainer

name: demo-video description: Create product demo videos by automating browser interactions and capturing frames. Use when the user wants to record a demo, walkthrough, product showcase, or interactive video of a web application. Supports Playwright CDP screencast for high-quality capture and FFmpeg for video encoding.
Demo Video Creator
Create polished product demo videos by automating browser interactions.
Overview
- Plan the demo sequence (pages, interactions, timing)
- Record frames using Playwright CDP screencast
- Encode to video with FFmpeg
Quick Start
Prerequisites
- Clawdbot browser running (
browser action=start profile=clawd) - App accessible via browser (localhost or remote)
- FFmpeg installed for encoding
Recording Workflow
- Start the Clawdbot browser if not running
- Navigate to the app manually or via
browser action=open - Customize
scripts/record-demo.jsfor the target app - Run:
node scripts/record-demo.js - Encode:
bash scripts/frames-to-video.sh
Planning a Demo
See references/demo-planning.md for guidance on:
- Structuring demo sequences
- Timing and pacing
- Interaction patterns
- What makes demos compelling
Scripts
scripts/record-demo.js
Template Playwright script that:
- Connects to Clawdbot browser via CDP
- Starts screencast capture (JPEG frames)
- Executes demo sequence (navigation, clicks, hovers, typing)
- Saves frames to output directory
Customize for each demo:
DEMO_SEQUENCESarray - define pages and interactionsOUTPUT_DIR- where to save framesFRAME_SKIP- skip every Nth frame (lower = more frames)
scripts/frames-to-video.sh
FFmpeg encoding script with presets:
mp4- H.264, good quality/size balance (default)gif- Animated GIF for embeddingwebm- VP9, smaller files
Usage: ./frames-to-video.sh [input_dir] [output_name] [format]
Interaction Patterns
// Navigation
await page.goto('http://localhost/dashboard');
await page.waitForTimeout(2000);
// Click element
await page.locator('button:has-text("Create")').click();
await page.waitForTimeout(500);
// Hover (show tooltips, hover states)
await page.locator('.card').first().hover();
await page.waitForTimeout(1000);
// Type text
await page.locator('input[placeholder="Search"]').fill('query');
await page.waitForTimeout(500);
// Press key
await page.keyboard.press('Enter');
await page.keyboard.press('Escape');
// Scroll
await page.evaluate(() => window.scrollBy(0, 300));
Tips
- Timing: 2s on page load, 0.5-1s between interactions, 1.5s to show results
- Frame skip: Use 3-5 for smooth video, 8-10 for smaller files
- Quality: 85-90 JPEG quality balances size and clarity
- Resolution: Browser window size determines output resolution
- Loops: GIFs should loop seamlessly - end where you started
No README available.
Permissions & Security
Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.
Requirements
- Clawdbot browser running (`browser action=start profile=clawd`) - App accessible via browser (localhost or remote) - FFmpeg installed for encoding
FAQ
How do I install demo-video?
Run openclaw add @cyberfront-ai/demo-video in your terminal. This installs demo-video into your OpenClaw Skills catalog.
Does this skill run locally or in the cloud?
OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.
Where can I verify the source code?
The source repository is available at https://github.com/openclaw/skills/tree/main/skills/cyberfront-ai/demo-video. Review commits and README documentation before installing.
