video-comparer

daymade/claude-code-skills · updated Apr 8, 2026

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$npx skills add https://github.com/daymade/claude-code-skills --skill video-comparer
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summary

Compare two videos and generate an interactive HTML report analyzing compression results. The script extracts video metadata, calculates quality metrics (PSNR, SSIM), and creates frame-by-frame visual comparisons with three viewing modes: slider, side-by-side, and grid.

skill.md

Video Comparer

Overview

Compare two videos and generate an interactive HTML report analyzing compression results. The script extracts video metadata, calculates quality metrics (PSNR, SSIM), and creates frame-by-frame visual comparisons with three viewing modes: slider, side-by-side, and grid.

When to Use This Skill

Use this skill when:

  • Comparing original and compressed videos
  • Analyzing video compression quality and efficiency
  • Evaluating codec performance or bitrate reduction impact
  • Users mention "compare videos", "video quality", "compression analysis", or "before/after compression"

Core Usage

Basic Command

python3 scripts/compare.py original.mp4 compressed.mp4

Generates comparison.html with:

  • Video parameters (codec, resolution, bitrate, duration, file size)
  • Quality metrics (PSNR, SSIM, size/bitrate reduction percentages)
  • Frame-by-frame comparison (default: frames at 5s intervals)

Command Options

# Custom output file
python3 scripts/compare.py original.mp4 compressed.mp4 -o report.html

# Custom frame interval (larger = fewer frames, faster processing)
python3 scripts/compare.py original.mp4 compressed.mp4 --interval 10

# Batch comparison
for original in originals/*.mp4; do
    compressed="compressed/$(basename "$original")"
    output="reports/$(basename "$original" .mp4).html"
    python3 scripts/compare.py "$original" "$compressed" -o "$output"
done

Requirements

System Dependencies

FFmpeg and FFprobe (required for video analysis and frame extraction):

# macOS
brew install ffmpeg

# Ubuntu/Debian
sudo apt update && sudo apt install ffmpeg

# Windows
# Download from https://ffmpeg.org/download.html
# Or use: winget install ffmpeg

Python 3.8+ (uses type hints, f-strings, pathlib)

Video Specifications

  • Supported formats: .mp4 (recommended), .mov, .avi, .mkv, .webm
  • File size limit: 500MB per video (configurable)
  • Processing time: ~1-2 minutes for typical videos; varies by duration and frame interval

Script Behavior

Automatic Validation

The script automatically validates:

  • FFmpeg/FFprobe installation and availability
  • File existence, extensions, and size limits
  • Path security (prevents directory traversal)

Clear error messages with resolution guidance appear when validation fails.

Quality Metrics

The script calculates two standard quality metrics:

PSNR (Peak Signal-to-Noise Ratio): Pixel-level similarity measurement (20-50 dB scale, higher is better)

SSIM (Structural Similarity Index): Perceptual similarity measurement (0.0-1.0 scale, higher is better)

For detailed interpretation scales and quality thresholds, consult references/video_metrics.md.

Frame Extraction

The script extracts frames at specified intervals (default: 5 seconds), scales them to consistent height (800px) for comparison, and embeds them as base64 data URLs in self-contained HTML. Temporary files are automatically cleaned after processing.

Output Report

The generated HTML report includes:

  • Slider Mode: Drag to reveal original vs compressed (default)
  • Side-by-Side Mode: Simultaneous display for direct comparison
  • Grid Mode: Compact 2-column layout
  • Zoom Controls: 50%-200% magnification
  • Self-contained format (no server required, works offline)

Important Implementation Details

Security

The script implements:

  • Path validation (absolute paths, prevents directory traversal)
  • Command injection prevention (no shell=True, validated arguments)
  • Resource limits (file size, timeouts)
  • Custom exceptions: ValidationError, FFmpegError, VideoComparisonError

Common Error Scenarios

"FFmpeg not found": Install FFmpeg via platform package manager (see Requirements section)

"File too large": Compress videos before comparison, or adjust MAX_FILE_SIZE_MB in scripts/compare.py

"Operation timed out": Increase FFMPEG_TIMEOUT constant or use larger --interval value (processes fewer frames)

"Frame count mismatch": Videos have different durations/frame rates; script auto-truncates to minimum frame count and shows warning

Configuration

The script includes adjustable constants for file size limits, timeouts, frame dimensions, and extraction intervals. To customize behavior, edit the constants at the top of scripts/compare.py. For detailed configuration options and their impacts, consult references/configuration.md.

Reference Materials

Consult these files for detailed information:

  • references/video_metrics.md: Quality metrics interpretation (PSNR/SSIM scales, compression targets, bitrate guidelines)
  • references/ffmpeg_commands.md: FFmpeg command reference (metadata extraction, frame extraction, troubleshooting)
  • references/configuration.md: Script configuration options and adjustable constants
  • assets/template.html: HTML report template for customizing viewing modes and styling
how to use video-comparer

How to use video-comparer on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add video-comparer
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/daymade/claude-code-skills --skill video-comparer

The skills CLI fetches video-comparer from GitHub repository daymade/claude-code-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/video-comparer

Reload or restart Cursor to activate video-comparer. Access the skill through slash commands (e.g., /video-comparer) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.866 reviews
  • Isabella Chen· Dec 28, 2024

    Registry listing for video-comparer matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Yuki Lopez· Dec 20, 2024

    video-comparer reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Diya Park· Dec 12, 2024

    video-comparer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Chaitanya Patil· Dec 8, 2024

    Useful defaults in video-comparer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Maya Brown· Dec 8, 2024

    Useful defaults in video-comparer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Pratham Ware· Dec 4, 2024

    Solid pick for teams standardizing on skills: video-comparer is focused, and the summary matches what you get after install.

  • Piyush G· Nov 27, 2024

    video-comparer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Amina Choi· Nov 19, 2024

    video-comparer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Michael Torres· Nov 11, 2024

    We added video-comparer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kaira Gonzalez· Nov 3, 2024

    Registry listing for video-comparer matched our evaluation — installs cleanly and behaves as described in the markdown.

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