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Browser Video Recording

Meng ToCommunityCreated by Meng To

  • Skill
  • Content generator
  • Design and creative
  • MIT
  • Low risk
  • Has scripts

From the author

Create polished 60 fps 4:3 4K browser screen-recording style videos from Codex in-app browser captures, with browser-only crop, natural macOS cursor styling, deliberate click choreography, zoom-follow framing, ffprobe/thumbnail verification, and optional native recording compatibility checks. Use when the user asks to record or re-record browser actions, show cursor clicks and zooms, make Dribbble/UI inspiration or product demo recordings, or asks whether Codex, Playwright, or an MCP can produce a natural browser demo video.
— the description by Meng To

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a workflow for generating 4K 60fps browser demo videos by combining in-app browser screenshots with a Python-based rendering script. It focuses on creating natural cursor movement, click animations, and zoom-follow framing based on browser state changes. The process involves capturing browser screenshots, defining motion paths for the cursor and camera, and rendering the final output using ffmpeg and custom configuration files.

What it does

  • Captures browser screenshots at specific states using in-app browser controls.
  • Renders MP4 videos at 3840x2880 resolution and 60 fps.
  • Applies natural macOS cursor styling and click animations.
  • Implements zoom-follow camera framing based on user-defined coordinates.
  • Verifies output video specifications using ffprobe and ffmpeg.
  • Supports optional integration with native recording tools for specific capture needs.

When to use it

  • When you need to create a browser demo video from automated browser actions.
  • When you want to showcase specific UI interactions with cursor clicks and zooms.
  • When you need to generate a 4:3 4K video from captured browser state screenshots.
  • When you need to verify video output parameters like resolution and frame rate.

Advantages

  • Produces deterministic video output from screenshot sequences.
  • Automates cursor and camera motion for consistent demo framing.
  • Provides verification steps to ensure output meets technical requirements.
  • Allows for flexible configuration of timing, motion, and visual assets.

Usage examples

“Record a demo of the login flow using the in-app browser.”
The agent captures screenshots of the login process, generates a configuration file, and runs the rendering script to produce a 4K 60fps video.
“Create a 4K video showing how to navigate the settings menu.”
The agent navigates the browser, saves state-specific screenshots, and renders a video with zoom-follow framing on the menu items.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/mengto/browser-video-recording/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip browser-video-recording.zip -d .agents/skills

Documentation by Meng To

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.

Files

scripts/render_browser_demo.py

#!/usr/bin/env python3
"""Render a browser screenshot sequence with a macOS-style cursor and zoom."""

from __future__ import annotations

import argparse
import json
import math
import subprocess
import sys
import tempfile
from pathlib import Path
from typing import Any

from PIL import Image


SWIFT_CURSOR_CAPTURE = r'''
import AppKit
import CoreGraphics
import Foundation

final class CaptureDelegate: NSObject, NSApplicationDelegate {
    var window: NSWindow?
    let outputDirectory: String
    let captureX: CGFloat = 360
    let captureY: CGFloat = 300
    let captureSize: CGFloat = 280
    var step = 0

    init(outputDirectory: String) {
        self.outputDirectory = outputDirectory
        super.init()
    }

    func applicationDidFinishLaunching(_ notification: Notification) {
        guard let screen = NSScreen.main else { NSApp.terminate(nil); return }
        let window = NSWindow(
            contentRect: screen.frame,
            styleMask: [.borderless],
            backing: .buffered,
            defer: false
        )
        window.level = .screenSaver
        window.collectionBehavior = [.canJoinAllSpaces, .fullScreenAuxiliary]
        window.ignoresMouseEvents = true
        window.isOpaque = true
        window.backgroundColor = NSColor(calibratedRed: 0, green: 1, blue: 0, alpha: 1)
        window.makeKeyAndOrderFront(nil)
        self.window = window
        NSApp.activate(ignoringOtherApps: true)
        CGWarpMouseCursorPosition(CGPoint(x: captureX, y: captureY))
        CGAssociateMouseAndMouseCursorPosition(boolean_t(1))
        DispatchQueue.main.asyncAfter(deadline: .now() + 0.35) {
            self.captureCurrentBackground()
        }
    }

    func captureCurrentBackground() {
        let filename = step == 0 ? "cursor-green.png" : "cursor-magenta.png"
        let output = URL(fileURLWithPath: outputDirectory).appendingPathComponent(filename).path
        let originX = Int(captureX - captureSize / 2)
        let originY = Int(captureY - captureSize / 2)
        let rect = "\(originX),\(originY),\(Int(captureSize)),\(Int(captureSize))"
        let process = Process()
        process.executableURL = URL(fileURLWithPath: "/usr/sbin/screencapture")
        process.arguments = ["-C", "-x", "-R", rect, output]
        try? process.run()
        process.waitUntilExit()
        if step == 0 {
            step = 1
            window?.backgroundColor = NSColor(calibratedRed: 1, green: 0, blue: 1, alpha: 1)
            CGWarpMouseCursorPosition(CGPoint(x: captureX, y: captureY))
            DispatchQueue.main.asyncAfter(deadline: .now() + 0.25) {
                self.captureCurrentBackground()
            }
        } else {
            NSApp.terminate(nil)
        }
    }
}

let app = NSApplication.shared
let delegate = CaptureDelegate(outputDirectory: CommandLine.arguments[1])
app.delegate = delegate
app.setActivationPolicy(.accessory)
app.run()
'''


def smoothstep(value: float) -> float:
    value = max(0.0, min(1.0, value))
    return value * value * (3.0 - (2.0 * value))


def ease_out(value: float) -> float:
    value = max(0.0, min(1.0, value))
    return 1.0 - ((1.0 - value) ** 3)


def ease_out_back(value: float) -> float:
    value = max(0.0, min(1.0, value))
    c1 = 1.28
    c3 = c1 + 1.0
    return 1.0 + c3 * ((value - 1.0) ** 3) + c1 * ((value - 1.0) ** 2)


def interpolate(keys: list[list[float]], time_s: float) -> tuple[float, ...]:
    if not keys:
        raise ValueError("Expected at least one keyframe")
    for index in range(len(keys) - 1):
        start = keys[index]
        end = keys[index + 1]
        if time_s <= end[0]:
            span = max(1e-6, end[0] - start[0])
            amount = smoothstep((time_s - start[0]) / span)
            return tuple(start[i] + (end[i] - start[i]) * amount for i in range(1, len(start)))
    return tuple(keys[-1][1:])


def normalize_scene(entry: Any) -> tuple[float, str, str]:
    if isinstance(entry, dict):
        return (float(entry["time"]), str(entry["shot"]), str(entry.get("transition", "fade")))
    return (float(entry[0]), str(entry[1]), str(entry[2] if len(entry) > 2 else "fade"))


def load_config(path: Path) -> dict[str, Any]:
    with path.open("r", encoding="utf-8") as handle:
        return json.load(handle)


def write_template() -> None:
    template = {
        "duration": 20,
        "fps": 60,
        "output_size": [3840, 2880],
        "source_size": [1920, 1440],
        "cursor_scale": 3.0,
        "click_strength": 15,
        "rotation_strength_degrees": 8,
        "shots": {
            "top": "/tmp/capture/01-results-top.png",
            "detail": "/tmp/capture/02-after-card-click.png",
        },
        "scene_starts": [
            [0.0, "top", "fade"],
            [2.3, "detail", "fade"],
        ],
        "cursor_keys": [
            [0.0, 620, 48],
            [1.4, 1450, 530],
            [2.1, 1450, 530],
        ],
        "camera_keys": [
            [0.0, 960, 540, 1.0],
            [2.3, 960, 560, 1.1],
        ],
        "click_times": [2.1],
        "output": "/tmp/browser-demo-4x3-4k-60fps.mp4",
    }
    print(json.dumps(template, indent=2))


def matte_cursor(green_path: Path, magenta_path: Path, output_dir: Path) -> tuple[Path, tuple[float, float]]:
    green = Image.open(green_path).convert("RGB")
    magenta = Image.open(magenta_path).convert("RGB")
    width, height = green.size
    background_a = tuple(float(value) for value in green.getpixel((0, 0)))
    background_b = tuple(float(value) for value in magenta.getpixel((0, 0)))
    output = Image.new("RGBA", (width, height), (0, 0, 0, 0))
    green_pixels = green.load()
    magenta_pixels = magenta.load()
    output_pixels = output.load()

    for y in range(height):
        for x in range(width):
            ga = green_pixels[x, y]
            mb = magenta_pixels[x, y]
            ratios = []
            for channel in range(3):
                denominator = background_a[channel] - background_b[channel]
                if abs(denominator) > 4:
                    ratios.append((ga[channel] - mb[channel]) / denominator)
            if not ratios:
                continue
            ratios.sort()
            one_minus_alpha = max(0.0, min(1.0, ratios[len(ratios) // 2]))
            alpha = 1.0 - one_minus_alpha
            if alpha < 0.025:
                continue
            rgb = []
            for channel in range(3):
                value = (ga[channel] - (1.0 - alpha) * background_a[channel]) / alpha
                rgb.append(max(0, min(255, int(round(value)))))
            output_pixels[x, y] = (*rgb, max(0, min(255, int(round(alpha * 255)))))

    bounds = output.getchannel("A").getbbox()
    if not bounds:
        raise RuntimeError("Could not extract cursor alpha")
    padding = 8
    left = max(0, bounds[0] - padding)
    top = max(0, bounds[1] - padding)
    right = min(width, bounds[2] + padding)
    bottom = min(height, bounds[3] + padding)
    cropped = output.crop((left, top, right, bottom))
    hotspot = ((width / 2.0) - left, (height / 2.0) - top)
    cursor_path = output_dir / "macos-compositor-cursor.png"
    cropped.save(cursor_path)
    return cursor_path, hotspot


def extract_macos_cursor(output_dir: Path) -> tuple[Path, tuple[float, float]]:
    output_dir.mkdir(parents=True, exist_ok=True)
    subprocess.run(
        ["swift", "-", str(output_dir)],
        input=SWIFT_CURSOR_CAPTURE,
        text=True,
        check=True,
    )
    green_path = output_dir / "cursor-green.png"
    magenta_path = output_dir / "cursor-magenta.png"
    if not green_path.exists() or not magenta_path.exists():
        raise RuntimeError("screencapture did not create cursor matte sources")
    return matte_cursor(green_path, magenta_path, output_dir)


def load_cursor(config: dict[str, Any], temp_dir: Path) -> tuple[Image.Image, tuple[float, float]]:
    if config.get("cursor_asset"):
        cursor_path = Path(config["cursor_asset"]).expanduser()
        cursor = Image.open(cursor_path).convert("RGBA")
        hotspot = tuple(float(value) for value in config.get("cursor_hotspot", [0, 0]))
        return cursor, (hotspot[0], hotspot[1])
    cursor_path, hotspot = extract_macos_cursor(temp_dir)
    return Image.open(cursor_path).convert("RGBA"), hotspot


def click_scale(time_s: float, click_times: list[float], strength: float) -> float:
    elapsed = None
    for click_time in click_times:
        candidate = time_s - click_time
        if 0 <= candidate <= 0.28:
            elapsed = candidate
            break
    if elapsed is None:
        return 1.0
    dip = max(0.0, min(100.0, strength)) / 100.0
    overshoot = dip * 0.22
    if elapsed <= 0.08:
        return 1.0 - (dip * ease_out(elapsed / 0.08))
    if elapsed <= 0.19:
        progress = (elapsed - 0.08) / 0.11
        return (1.0 - dip) + ((dip + overshoot) * ease_out_back(progress))
    progress = (elapsed - 0.19) / 0.09
    return 1.0 + (overshoot * (1.0 - smoothstep(progress)))


def scene_at(
    time_s: float,
    scenes: list[tuple[float, str, str]],
    shots: dict[str, Image.Image],
    source_size: tuple[int, int],
) -> Image.Image:
    index = 0
    for candidate_index, scene in enumerate(scenes):
        if time_s >= scene[0]:
            index = candidate_index
        else:
            break
    start, name, transition = scenes[index]
    current = shots[name]
    if index == 0:
        return current

    previous = shots[scenes[index - 1][1]]
    fade_duration = 0.48 if transition == "scroll" else 0.18
    elapsed = time_s - start
    if elapsed >= fade_duration:
        return current
    amount = smoothstep(elapsed / fade_duration)
    if transition == "scroll":
        width, height = source_size
        offset = int((1.0 - amount) * height * 0.08)
        previous_canvas = Image.new("RGB", (width, height), (255, 255, 255))
        current_canvas = Image.new("RGB", (width, height), (255, 255, 255))
        previous_canvas.paste(previous, (0, -offset))
        current_canvas.paste(current, (0, offset))
        return Image.blend(previous_canvas, current_canvas, amount)
    return Image.blend(previous, current, amount)


def crop_camera(
    image: Image.Image,
    camera: tuple[float, float, float],
    source_size: tuple[int, int],
    output_size: tuple[int, int],
) -> tuple[Image.Image, tuple[int, int, int, int]]:
    source_w, source_h = source_size
    output_w, output_h = output_size
    camera_x, camera_y, zoom = camera
    crop_w = int(source_w / max(1e-6, zoom))
    crop_h = int(source_h / max(1e-6, zoom))
    left = int(max(0, min(source_w - crop_w, camera_x - (crop_w / 2))))
    top = int(max(0, min(source_h - crop_h, camera_y - (crop_h / 2))))
    crop = image.crop((left, top, left + crop_w, top + crop_h))
    frame = crop.resize((output_w, output_h), Image.Resampling.LANCZOS).convert("RGBA")
    return frame, (left, top, crop_w, crop_h)


def draw_cursor(
    frame: Image.Image,
    cursor: Image.Image,
    hotspot: tuple[float, float],
    cursor_xy: tuple[float, float],
    crop_info: tuple[int, int, int, int],
    output_size: tuple[int, int],
    time_s: float,
    previous_cursor_x: float,
    delta_time: float,
    config: dict[str, Any],
) -> Image.Image:
    output_w, output_h = output_size
    left, top, crop_w, crop_h = crop_info
    source_x, source_y = cursor_xy
    screen_x = (source_x - left) / crop_w * output_w
    screen_y = (source_y - top) / crop_h * output_h
    if screen_x < -500 or screen_x > output_w + 500 or screen_y < -500 or screen_y > output_h + 500:
        return frame

    click_times = [float(value) for value in config.get("click_times", [])]
    base_scale = float(config.get("cursor_scale", 3.0))
    strength = float(config.get("click_strength", 15.0))
    scale = base_scale * click_scale(time_s, click_times, strength)
    cursor_w = max(1, int(round(cursor.width * scale)))
    cursor_h = max(1, int(round(cursor.height * scale)))
    rendered_cursor = cursor.resize((cursor_w, cursor_h), Image.Resampling.LANCZOS)

    rotation_strength = math.radians(float(config.get("rotation_strength_degrees", 8.0)))
    velocity_x = (source_x - previous_cursor_x) / max(1e-6, delta_time)
    velocity_progress = min(1.0, abs(velocity_x) / 1400.0) ** 0.72
    angle = (1 if velocity_x >= 0 else -1) * rotation_strength * velocity_progress

    hotspot_x = hotspot[0] * scale
    hotspot_y = hotspot[1] * scale
    if abs(angle) > 0.002:
        padding = int(max(cursor_w, cursor_h) * 0.45)
        padded = Image.new("RGBA", (cursor_w + padding * 2, cursor_h + padding * 2), (0, 0, 0, 0))
        padded.alpha_composite(rendered_cursor, (padding, padding))
        rendered_cursor = padded.rotate(math.degrees(angle), resample=Image.Resampling.BICUBIC, expand=True)
        local_hotspot_x = hotspot_x + padding
        local_hotspot_y = hotspot_y + padding
        center_x = padded.width / 2.0
        center_y = padded.height / 2.0
        dx = local_hotspot_x - center_x
        dy = local_hotspot_y - center_y
        cos_a = math.cos(-angle)
        sin_a = math.sin(-angle)
        hotspot_x = (rendered_cursor.width / 2.0) + (dx * cos_a) - (dy * sin_a)
        hotspot_y = (rendered_cursor.height / 2.0) + (dx * sin_a) + (dy * cos_a)

    paste_x = int(round(screen_x - hotspot_x))
    paste_y = int(round(screen_y - hotspot_y))
    frame.alpha_composite(rendered_cursor, (paste_x, paste_y))
    return frame


def render(config: dict[str, Any], output_path: Path) -> None:
    source_size = tuple(int(value) for value in config.get("source_size", [1920, 1440]))
    output_size = tuple(int(value) for value in config.get("output_size", [3840, 2880]))
    fps = int(config.get("fps", 60))
    duration = float(config.get("duration", 20.0))
    total_frames = int(round(duration * fps))
    shots = {name: Image.open(path).convert("RGB") for name, path in config["shots"].items()}
    scenes = [normalize_scene(entry) for entry in config["scene_starts"]]
    scenes.sort(key=lambda item: item[0])
    cursor_keys = [[float(value) for value in key] for key in config["cursor_keys"]]
    camera_keys = [[float(value) for value in key] for key in config["camera_keys"]]

    with tempfile.TemporaryDirectory(prefix="browser-video-recording-") as temp:
        cursor, hotspot = load_cursor(config, Path(temp))
        command = [
            "ffmpeg", "-y",
            "-f", "rawvideo",
            "-pix_fmt", "rgb24",
            "-s:v", f"{output_size[0]}x{output_size[1]}",
            "-r", str(fps),
            "-i", "-",
            "-an",
            "-c:v", "libx264",
            "-preset", str(config.get("preset", "veryfast")),
            "-crf", str(config.get("crf", 18)),
            "-pix_fmt", "yuv420p",
            "-movflags", "+faststart",
            str(output_path),
        ]
        process = subprocess.Popen(command, stdin=subprocess.PIPE)
        previous_cursor_x = cursor_keys[0][1]
        previous_time = 0.0
        assert process.stdin is not None
        try:
            for frame_index in range(total_frames):
                time_s = frame_index / fps
                base = scene_at(time_s, scenes, shots, source_size)
                camera = interpolate(camera_keys, time_s)
                frame, crop_info = crop_camera(base, camera, source_size, output_size)
                cursor_xy = interpolate(cursor_keys, time_s)
                delta_time = max(1.0 / fps, time_s - previous_time)
                frame = draw_cursor(
                    frame,
                    cursor,
                    hotspot,
                    cursor_xy,
                    crop_info,
                    output_size,
                    time_s,
                    previous_cursor_x,
                    delta_time,
                    config,
                )
                process.stdin.write(frame.convert("RGB").tobytes())
                previous_cursor_x = cursor_xy[0]
                previous_time = time_s
        finally:
            process.stdin.close()
        exit_code = process.wait()
        if exit_code != 0:
            raise RuntimeError(f"ffmpeg failed with exit code {exit_code}")


def main() -> int:
    parser = argparse.ArgumentParser(description=__doc__)
    parser.add_argument("--config", type=Path, help="JSON render config")
    parser.add_argument("--output", type=Path, help="MP4 output path")
    parser.add_argument("--write-template", action="store_true", help="Print a starter JSON config")
    args = parser.parse_args()

    if args.write_template:
        write_template()
        return 0
    if not args.config:
        parser.error("--config is required unless --write-template is used")

    config = load_config(args.config)
    output_path = args.output or Path(config.get("output", "browser-demo-4x3-4k-60fps.mp4"))
    render(config, output_path.expanduser())
    print(output_path.expanduser())
    return 0


if __name__ == "__main__":
    sys.exit(main())

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs Python

Security

What our scanner noticed· Low risk

  • Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

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Attribution and licence

Created by
Meng To
Publisher
Meng To (Community)
Source
MengTo/Skills · agent-skills/codex/browser-video-recording · commit 5ea1661
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download browser-video-recording.zip