AIAny
AI Video2026
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ffmpeg-skill

Lets coding agents edit local video and audio through 42 structured FFmpeg tools, then verify the output. The tools are also available through MCP, with no cloud service or API key required.

Introduction

Knowing FFmpeg syntax is not the same as reliably editing media: an agent can choose the wrong codec, re-encode unnecessarily, or claim success without checking the file. The key idea here is to make editing a measured workflow—inspect the input, run a typed operation, and verify the result—rather than trusting generated command lines.

What Sets It Apart
  • Each operation exposes typed arguments instead of accepting arbitrary shell strings or filter graphs, reducing the room for malformed or unsafe commands.
  • A machine-readable contract describes inputs, capabilities, outputs, and verification; its input schemas come from the same argument parsers as the tools, and MCP exposes that contract to compatible clients.
  • Tools probe media before editing and check results afterward. They can stream-copy when possible, while reporting when a task requires re-encoding.
  • Processing stays local. Optional speech transcription also runs locally when a supported engine is installed; the project does not decide what footage is interesting or what captions should say.
Who It’s For

A good fit for people who want Claude Code, Cursor, Codex, or another compatible agent to carry out repeatable media operations on footage that should stay on their machine. It is less suitable when the job requires the editor itself to understand scenes, select highlights, track a subject, or author captions: those decisions belong to the user or a separate system. Results also depend on the FFmpeg build and its available components.

Information

  • Websitegithub.com
  • AuthorsS. Kajiyama
  • Published date2026/09/03

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