mcpbeat Sign in

Video Processing Skill for Claude

Process video files with ffmpeg automation. Use when: compressing videos for upload; extracting audio from video; resizing for social formats; clipping segments; merging multiple videos; generating thumbnails

5k tokens
context cost
the whole folder, loaded on every use
3
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
145
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill video-processing

What comes with it

12 847 bytes besides the instruction
scripts/main.py
scripts/requirements.txt

The instruction itself

22 sections, as written by the author

Video Processing

> Automate repetitive video editing tasks using FFmpeg - the industry-standard tool powering YouTube, Netflix, and most video platforms.

When to Use This Skill

  • Social media optimization - Resize videos for Instagram (9:16), TikTok, LinkedIn
  • Upload preparation - Compress large videos to meet platform limits
  • Audio extraction - Pull audio from webinars, interviews for podcasts
  • Content clipping - Extract highlights, quotes, or segments
  • Batch processing - Apply same operations to multiple videos

What Claude Does vs What You Decide

| Claude Does | You Decide |

|-------------|------------|

| Structures production workflow | Final creative direction |

| Suggests technical approaches | Equipment and tool choices |

| Creates templates and checklists | Quality standards |

| Identifies best practices | Brand/voice decisions |

| Generates script outlines | Final script approval |

Dependencies

pip install ffmpeg-python moviepy click
# Also requires ffmpeg installed on system
# macOS: brew install ffmpeg
# Ubuntu: sudo apt install ffmpeg

Commands

Compress Video

python scripts/main.py compress video.mp4 --target-mb 10
python scripts/main.py compress video.mp4 --crf 28 --output compressed.mp4

Extract Audio

python scripts/main.py extract-audio video.mp4 --format mp3
python scripts/main.py extract-audio video.mp4 --format wav --output audio.wav

Resize for Social

python scripts/main.py resize video.mp4 --format instagram  # 1080x1920 (9:16)
python scripts/main.py resize video.mp4 --format youtube    # 1920x1080 (16:9)
python scripts/main.py resize video.mp4 --format square     # 1080x1080 (1:1)
python scripts/main.py resize video.mp4 --width 1280 --height 720

Clip Segment

python scripts/main.py clip video.mp4 --start 00:30 --end 01:45
python scripts/main.py clip video.mp4 --start 00:30 --duration 60

Merge Videos

python scripts/main.py concat video1.mp4 video2.mp4 --output merged.mp4
python scripts/main.py concat ./clips/ --output compilation.mp4

Generate Thumbnail

python scripts/main.py thumbnail video.mp4 --time 00:30
python scripts/main.py thumbnail video.mp4 --best  # Auto-select best frame

Examples

Example 1: Prepare Video for Instagram Reels

# Original: 4K horizontal video, 500MB
python scripts/main.py resize long-video.mp4 --format instagram
python scripts/main.py compress long-video_instagram.mp4 --target-mb 50

# Output: long-video_instagram_compressed.mp4 (1080x1920, <50MB)

Example 2: Extract Podcast from Webinar

# Extract audio track
python scripts/main.py extract-audio webinar-recording.mp4 --format mp3 --bitrate 192k

# Output: webinar-recording.mp3 (ready for podcast hosting)

Example 3: Create Highlight Reel

# Extract multiple clips
python scripts/main.py clip interview.mp4 --start 05:30 --end 06:15 --output clip1.mp4
python scripts/main.py clip interview.mp4 --start 12:00 --end 12:45 --output clip2.mp4
python scripts/main.py clip interview.mp4 --start 28:30 --end 29:00 --output clip3.mp4

# Merge into highlight reel
python scripts/main.py concat clip1.mp4 clip2.mp4 clip3.mp4 --output highlights.mp4

Social Media Format Reference

| Platform | Format | Resolution | Max Size | Max Duration |

|----------|--------|------------|----------|--------------|

| Instagram Reels | 9:16 | 1080x1920 | 4GB | 90s |

| Instagram Feed | 1:1 | 1080x1080 | 4GB | 60s |

| TikTok | 9:16 | 1080x1920 | 287MB | 10min |

| YouTube Shorts | 9:16 | 1080x1920 | - | 60s |

| YouTube | 16:9 | 1920x1080 | 256GB | 12h |

| LinkedIn | 1:1/16:9 | 1920x1080 | 5GB | 10min |

| Twitter/X | 16:9 | 1920x1080 | 512MB | 2:20 |

Performance Tips

  • GPU acceleration - FFmpeg uses hardware encoding when available (NVENC, VideoToolbox)
  • CRF values - Lower = better quality, larger file. 18-28 typical range
  • Preset selection - ultrafast for drafts, slow for final exports
  • Two-pass encoding - Better quality for target bitrate

Skill Boundaries

What This Skill Does Well

  • Structuring audio production workflows
  • Providing technical guidance
  • Creating quality checklists
  • Suggesting creative approaches

What This Skill Cannot Do

  • Replace audio engineering expertise
  • Make subjective creative decisions
  • Access or edit audio files directly
  • Guarantee commercial success
  • whisper-transcription - Transcribe video audio
  • youtube-downloader - Download videos to process
  • image-batch - Process video thumbnails

Skill Metadata

  • Mode: cyborg
category: automation
subcategory: video-processing
dependencies: [ffmpeg-python, moviepy]
difficulty: beginner
time_saved: 5+ hours/week

Other skills for the same job

different authors, same section of the catalogue
Canvas Design
by anthropics
vendor ×13

Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.

1388k tokens
Algorithmic Art
by anthropics
vendor ×10

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

15k tokens scripts
Image Enhancer
by frostant
×6

Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.

635 tokens
Video Downloader
by CommandCodeAI
×4

Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.

671 tokens
Histolab
by christophacham
×3

Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.

18k tokens
Omero Integration
by christophacham
×3

Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.

32k tokens
Pydicom
by christophacham
×3

Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.

13k tokens scripts
Transformers
by christophacham
×3

This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.

13k tokens

How to use it

Copy the folder

Take guia-matthieu/video-processing from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip, brew. Without those the skill loads but fails at the first command.