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Video Processing

Community
guia-matthieu
video-processing

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

Overview

Publisherguia-matthieu
Repositoryclawfu-skills
Skill namevideo-processing
Stars
150
Forks
27
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by guia-matthieu on GitHub. Read the source before you install it.

Installation

Install the Video Processing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/guia-matthieu/clawfu-skills.git /tmp/clawfu-skills
mkdir -p .claude/skills
cp -r /tmp/clawfu-skills/skills/automation/video-processing .claude/skills/video-processing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Video Processing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Video Processing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Video Processing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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 DoesYou Decide
Structures production workflowFinal creative direction
Suggests technical approachesEquipment and tool choices
Creates templates and checklistsQuality standards
Identifies best practicesBrand/voice decisions
Generates script outlinesFinal script approval

Dependencies

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

Commands

Compress Video

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

Extract Audio

bash
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

bash
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

bash
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

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

Generate Thumbnail

bash
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

bash
# 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

bash
# 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

bash
# 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

PlatformFormatResolutionMax SizeMax Duration
Instagram Reels9:161080x19204GB90s
Instagram Feed1:11080x10804GB60s
TikTok9:161080x1920287MB10min
YouTube Shorts9:161080x1920-60s
YouTube16:91920x1080256GB12h
LinkedIn1:1/16:91920x10805GB10min
Twitter/X16:91920x1080512MB2:20

Performance Tips

  1. GPU acceleration - FFmpeg uses hardware encoding when available (NVENC, VideoToolbox)
  2. CRF values - Lower = better quality, larger file. 18-28 typical range
  3. Preset selection - ultrafast for drafts, slow for final exports
  4. 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

Related Skills

Skill Metadata

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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Video Processing AI skill do?

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

Why use Video Processing on TypingMind?

Because you install it once and use it with any model. Video Processing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Video Processing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/guia-matthieu/clawfu-skills/tree/main/skills/automation/video-processing. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Video Processing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Video Processing?

As many as you like. As long as a model supports skills, you can use Video Processing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Video Processing AI skill free?

Yes. It is published on GitHub by guia-matthieu under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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