ffmpeg

Process video and audio programmatically using the libffmpeg C API.

16|9|Updated Nov 6, 2013
One-click install
npx skills add https://github.com/erikstmartin/dotfiles --skill ffmpeg-erikstmartin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ffmpeg
Source: https://github.com/erikstmartin/dotfiles/tree/main/skills/catalog/audio/ffmpeg
Command: npx skills add https://github.com/erikstmartin/dotfiles --skill ffmpeg-erikstmartin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Programmatic media processing requires integrating complex FFmpeg workflows into applications. This Skill provides a structured approach to using the libffmpeg C API to decode, encode, and transform video and audio without relying on command-line tools.

Core Features & Use Cases

  • Programmatic decoding/encoding with libavformat and libavcodec for embedded media pipelines.
  • Frame processing and scaling using libswscale to support custom transcoding and analysis.
  • Use Case: integrate a transcoder or frame extractor into a desktop, server, or embedded application with deterministic behavior.

Quick Start

Compile and run the provided sample to initialize the libffmpeg components and process an input file.

Frequently Asked Questions about ffmpeg

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I process video programmatically using the libffmpeg C API instead of command-line tools?

Programmatic video processing with the libffmpeg C API uses libavformat and libavcodec to decode, encode, and transform media directly within your application, enabling custom embedded media pipelines and deterministic batch transcoding workflows.

What is the best way to build a custom transcoding pipeline for an embedded environment?

Building a custom transcoding pipeline for embedded environments requires integrating the libffmpeg C API to handle media deterministically, utilizing libavformat and libavcodec to decode and encode frames without relying on external command-line tools.

How do I extract and scale video frames using libswscale for custom analysis?

Extracting and scaling video frames using libswscale involves opening input files with libavformat, decoding frames via libavcodec, and applying libswscale transformations to resize or convert frames for custom analysis and processing workflows.

Do I need libavformat and libavcodec headers to implement programmatic media decoding?

Yes, implementing programmatic media decoding requires libavformat, libavcodec, libswscale, and related headers to initialize components, open input files, and process video and audio frames within your C application.

Can I use the FFmpeg C API for batch transcoding on desktop and server applications?

Yes, the FFmpeg C API supports batch transcoding across desktop, server, and embedded applications by programmatically initializing libav components to process multiple media files with deterministic behavior.

When should I choose programmatic FFmpeg processing over command-line transcoding tools?

Choose programmatic FFmpeg processing over command-line tools when you need embedded media handling, deterministic behavior, or custom frame extraction and transformation workflows integrated directly into your application logic.