Ffmpeg Keyframe Extraction logo

Ffmpeg Keyframe Extraction

Organization
cxcscmu
ffmpeg-keyframe-extraction

Extract key frames (I-frames) from video files using FFmpeg to identify scene changes and important moments.

Overview

Publishercxcscmu
RepositorySkillLearnBench
Skill nameffmpeg-keyframe-extraction
Stars
91
Forks
7
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by cxcscmu on GitHub. Read the source before you install it.

Installation

Install the Ffmpeg Keyframe Extraction 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.
    https://github.com/cxcscmu/SkillLearnBench/tree/main/skills/b1-one-shot-claude-haiku-4-5/video-object-counting/ffmpeg-keyframe-extraction
  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/cxcscmu/SkillLearnBench.git /tmp/SkillLearnBench
mkdir -p .claude/skills
cp -r /tmp/SkillLearnBench/skills/b1-one-shot-claude-haiku-4-5/video-object-counting/ffmpeg-keyframe-extraction .claude/skills/ffmpeg-keyframe-extraction
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ffmpeg Keyframe Extraction 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 Ffmpeg Keyframe Extraction 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 Ffmpeg Keyframe Extraction 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.

FFmpeg Keyframe Extraction

Overview

FFmpeg can extract keyframes (I-frames) from video files. Keyframes are complete frames that don't depend on other frames for decoding, making them ideal for analysis and detection tasks.

Installation

bash
# Ubuntu/Debian
sudo apt-get install ffmpeg

# macOS
brew install ffmpeg

Usage

Extract All Keyframes from Video

bash
ffmpeg -i input.mp4 -vf "select=eq(pict_type\,I)" -vsync 0 output_%03d.png

Parameters:

  • -i input.mp4: Input video file
  • -vf "select=eq(pict_type\,I)": Filter to select only I-frames (keyframes)
  • -vsync 0: Output one image per keyframe (important for proper numbering)
  • output_%03d.png: Output pattern with zero-padded frame numbers (001, 002, etc.)

Extract Keyframes with Frame Rate Control

bash
ffmpeg -i input.mp4 -vf "fps=1/5,select=eq(pict_type\,I)" -vsync 0 output_%03d.png

This extracts at most 1 keyframe every 5 seconds.

Check Video Information

bash
ffprobe -v error -show_entries format=duration -of default=noprint_wrappers=1:nokey=1:noprint_wrappers=1 video.mp4

Output Naming Convention

When using output_%03d.png:

  • Frame 1: output_001.png
  • Frame 2: output_002.png
  • Frame 100: output_100.png

Python Integration

python
import subprocess
import os

def extract_keyframes(video_path, output_dir, output_prefix="keyframes"):
    """Extract keyframes from video file"""
    os.makedirs(output_dir, exist_ok=True)
    output_pattern = os.path.join(output_dir, f"{output_prefix}_%03d.png")

    cmd = [
        'ffmpeg',
        '-i', video_path,
        '-vf', 'select=eq(pict_type\\,I)',
        '-vsync', '0',
        output_pattern
    ]

    result = subprocess.run(cmd, capture_output=True, text=True)
    if result.returncode != 0:
        raise RuntimeError(f"FFmpeg error: {result.stderr}")

    # Return list of extracted frames
    frames = sorted([
        os.path.join(output_dir, f)
        for f in os.listdir(output_dir)
        if f.startswith(output_prefix)
    ])
    return frames

Tips

  • Keyframes are typically smaller in file size than regular frames
  • For consistent results, always use -vsync 0 with keyframe extraction
  • Output pattern with %03d ensures consistent naming for sorting
  • Check that files are being created in the expected output directory

Frequently asked questions

What does the Ffmpeg Keyframe Extraction AI skill do?

Extract key frames (I-frames) from video files using FFmpeg to identify scene changes and important moments.

Why use Ffmpeg Keyframe Extraction on TypingMind?

Because you install it once and use it with any model. Ffmpeg Keyframe Extraction 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 Ffmpeg Keyframe Extraction in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cxcscmu/SkillLearnBench/tree/main/skills/b1-one-shot-claude-haiku-4-5/video-object-counting/ffmpeg-keyframe-extraction. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ffmpeg Keyframe Extraction?

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 Ffmpeg Keyframe Extraction?

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

Is the Ffmpeg Keyframe Extraction AI skill free?

Yes. It is published on GitHub by cxcscmu 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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