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Browser Video Recording

Free

Create polished 4K videos from browser captures.

by mengto4.6k stars on mengto/skills
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Updated Aug 9, 2026
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Free · Opens the source repo

What Browser Video Recording does

Browser Video Recording is a specialized skill designed for developers and designers who need to create high-quality video recordings of browser interactions. This skill leverages the Codex in-app browser to capture real screenshots and user interactions, ensuring that the resulting videos accurately reflect the intended user experience. The output is a polished 60 fps, 4:3, 4K video that features natural macOS cursor styling and deliberate click choreography, making it ideal for product demos, UI inspiration, or Dribbble presentations.

The workflow is divided into three main layers: browser control for capturing screenshots, a local video renderer that compiles these images into a video, and optional integration with native recording tools. Users can execute the bundled Python script to render a video from the captured frames without needing an external screen-recording tool. This flexibility allows for a streamlined process that focuses on quality and precision in video output.

To ensure the best results, the skill incorporates various motion rules for cursor movement and click animations, providing a natural and engaging viewing experience. It also includes verification steps to confirm the video meets the specified resolution and frame rate, ensuring that the final product is of the highest quality. This skill is particularly useful for those who frequently create instructional or promotional content and need a reliable way to showcase browser-based applications.

Overall, Browser Video Recording is a powerful tool for anyone looking to produce professional-grade video content directly from their browser interactions, making it a valuable addition to any developer or designer's toolkit.

When to use it

Use this skill when you need to record browser actions for product demos, UI showcases, or instructional videos.

When not to use it

Avoid this skill if you require advanced video editing features or need to record non-browser applications.

What you can build with it

Creating Product Demos

Use the skill to record browser interactions while demonstrating a product, ensuring a professional presentation.

UI Design Showcases

Capture and showcase UI designs in action, perfect for sharing on platforms like Dribbble.

Instructional Videos

Record step-by-step tutorials that highlight browser functionalities, making it easier for users to follow along.

How to install Browser Video Recording

View source

1. Install with the skills CLI

npx skills add mengto/skills/browser-video-recording --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by mengto

Browser Video Recording

Dependency Model

Separate the workflow into three layers:

  1. Browser control and source frames: Use the Codex in-app browser through the Browser skill/MCP. Do not use Chrome when the user asks for Codex browser or the project says not to. The browser layer supplies real screenshots and real click/scroll/navigation states.
  2. Local video renderer: Use the bundled Python script to render screenshots into an MP4 with a natural macOS cursor, subtle click scale, and calm zoom-follow framing. This does not require a screen-recording MCP.
  3. Optional native recorder integration: Use a native recording MCP only when callable and explicitly useful for starting/stopping an actual app recording or opening a generated project. If unavailable, blocked, or unable to capture the Codex browser surface, fall back to the screenshot-to-video renderer and explain the fallback.

Self-Contained Execution

This skill is enough for another Codex instance to perform the Python rendering as long as the full skill folder is installed, including scripts/render_browser_demo.py. Codex should run the bundled script instead of recreating the renderer.

Required local tools:

  • python3
  • Python package Pillow
  • ffmpeg and ffprobe

Optional macOS cursor extraction uses swift and /usr/sbin/screencapture. If those are unavailable, provide a transparent PNG through cursor_asset and set cursor_hotspot in the config.

The Browser skill/MCP is still needed for fresh Codex in-app browser screenshots. If it is unavailable, use the best available browser automation screenshot source and state the fallback.

Optional Native Recorder Support

For native app recording, verify the MCP supports:

  • Use frameRate: 60.
  • Use resolutionRawValue: "4K".
  • Use ratioPresetRawValue: "4:3" for region recordings.
  • Use an explicit selectedRegionOnScreen when cropping to an embedded browser viewport.

For the local renderer, 4K 4:3 means 3840x2880. If a native recorder exposes a 4K enum, treat it as an app-side resolution preset and pair it with 4:3 region selection when recording through that MCP.

Capture Workflow

Use browser:control-in-app-browser first. After loading its docs, drive the in-app browser with the Node/browser API:

  • Set viewport to 1920x1440 for 4:3 4K output, then reset it before finishing.
  • Navigate to the requested page and perform actual clicks, backs, searches, and scrolls.
  • Save browser-only screenshots after each important state change. Use names like 01-results-top.png, 02-after-card-click.png, 03-back-results.png.
  • Record the viewport coordinates of each click/scroll target. The final cursor path should land on those points, pause, click, then move to the next meaningful point.

Avoid desktop coordinate automation unless the user explicitly needs system UI. Codex browser visibility may not expose a capturable macOS surface; screenshots from the browser API are the reliable source.

Motion Rules

Make the cursor feel purposeful:

  • Use sparse, mostly straight cursor paths.
  • Pause briefly on a target before clicking.
  • Do not wander over unrelated UI.
  • Let the page transition happen after the click, not before.
  • Use only subtle click feedback: scale dip/rebound, not decorative rings unless requested.
  • Keep zoom-follow calmer than the cursor. The camera should frame the clicked content, not chase every small mouse move.

Default visual target:

  • Real macOS pointer extracted from the compositor, or an existing transparent cursor asset.
  • Cursor scale 3.0, matching the large cursor style commonly used in edited demo recordings.
  • Click animation strength 15 for a subtle click scale dip.
  • Rotation strength up to 8deg, only from horizontal velocity.

Render Script

Use scripts/render_browser_demo.py for deterministic 60 fps 4:3 4K output:

python3 /path/to/browser-video-recording/scripts/render_browser_demo.py \
  --config /tmp/browser-demo-config.json \
  --output /tmp/browser-demo-4x3-4k-60fps.mp4

Generate a starter config:

python3 /path/to/browser-video-recording/scripts/render_browser_demo.py --write-template

The config supplies:

  • shots: map of state names to screenshot PNG paths.
  • scene_starts: [time, shotName, transition] entries.
  • cursor_keys: [time, x, y] viewport-coordinate entries.
  • camera_keys: [time, x, y, zoom] entries.
  • click_times: click timestamps.
  • duration, fps, output_size, source_size, cursor_scale.

Preferred defaults:

{
  "fps": 60,
  "output_size": [3840, 2880],
  "source_size": [1920, 1440]
}

If cursor_asset is omitted, the script briefly shows a solid-color overlay and uses screencapture to extract the real current macOS cursor into a transparent PNG. This is local rendering support, not an MCP dependency.

Verification

Always verify the delivered video:

ffprobe -v error \
  -show_entries stream=codec_name,width,height,r_frame_rate \
  -show_entries format=duration,size \
  -of json /path/to/output.mp4

Extract at least one mid-video thumbnail and inspect it:

ffmpeg -y -ss 8 -i /path/to/output.mp4 -frames:v 1 -update 1 /tmp/browser-demo-thumb.png

Confirm:

  • Resolution is the requested output, usually 3840x2880 for 4:3 4K.
  • Frame rate is 60/1 or equivalent.
  • Duration matches the request.
  • Cursor is visible, natural, and on-target.
  • The video is cropped to browser content, not the desktop.
  • The browser viewport override has been reset.

Frequently asked questions about Browser Video Recording

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