DEDUPED Hot AI repos, turned into use cases Get 5 a day

What you can do with Ffmpeg Skill

ffmpeg-skill is a local video editing toolkit for coding agents, with 42 FFmpeg-based tools, a machine-readable contract and an MCP server.

Trended earlier

kajisho5/ffmpeg-skill on GitHub

Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk.

What do you want to do?

4 use cases

  • Cut an interview into a 60-second Reels clip

    An agent keeps chosen segments of a long interview, fits them to 60 seconds in 9:16 and exports a Reels file.

    View prompt
    Using the ffmpeg-skill repo, take <interview file> and keep 0:45-3:10 and 5:00-6:30, make it exactly 60 seconds at 9:16 for Reels, and export it. Expected output: a Reels MP4 of about 60 seconds at 1080x1920. Verify the duration and resolution with probe.py before you report it done.

  • Turn a talking-head video into a captioned TikTok

    One render command crops to 9:16, burns in your cue text and normalizes loudness for TikTok.

    View prompt
    Using the ffmpeg-skill repo, render <talk video> with the tiktok template and the cues file <cues.txt>. Expected output: a 9:16 TikTok MP4 with captions and a platform check written next to it. Verify the check result and the output resolution before reporting success.

  • Export one edit to nine social platforms at once

    A single render command makes a file for each platform template and a summary table.

    View prompt
    Using the ffmpeg-skill repo, render <source video> with --template all so it covers every platform template. Expected output: one file per platform plus a _pack.md summary table. Verify the summary lists every destination and that each output probes correctly.

  • Strip dead air and set loudness to -14 LUFS

    An agent removes silent gaps from a recording and sets its loudness to the -14 LUFS target.

    View prompt
    Using the ffmpeg-skill repo, remove silences from <recording> with a -35 threshold, then normalize loudness to -14 LUFS with a -1 true peak. Expected output: a cleaned MP4 with the target loudness. Verify the result with probe.py and report the duration change.

How to use Ffmpeg Skill

  1. Check you have what it needs: ffmpeg and ffprobe on your PATH (run `npx ffmpeg-skill doctor` to check); python3 on your PATH (on Windows, `python` or the `py` launcher may be needed instead); Node.js, for `npx ffmpeg-skill`.
  2. Open kajisho5/ffmpeg-skill on GitHub and read the README and license.
  3. Install the skill with npx ffmpeg-skill and check the machine with npx ffmpeg-skill doctor.
  4. Set S=~/.claude/skills/ffmpeg-skill/scripts, then measure the source with python3 $S/probe.py input.mp4 --compact.
  5. Keep the chosen parts with python3 $S/cut.py input.mp4 --segments 0:45-3:10,5:00-6:30. (inferred, check the README)
  6. Preview the fit with python3 $S/fit.py input.mp4 --duration 60 --aspect 9:16 --dry-run, then run it without --dry-run using --fit crop.

These steps come from our top use case, Cut an interview into a 60-second Reels clip, which also has a copy-paste agent prompt.

Ffmpeg Skill alternatives · Best AI repos for Content

About this repo

  • Who it is forCreators, editors and small teams who want an AI coding agent to cut, caption and export video on their own machine without uploading footage.
  • Why it is hot
  • LanguagePython
  • Sourcegithub.com/kajisho5/ffmpeg-skill · Back to Hot repos

Requirements

  • ffmpeg and ffprobe on your PATH (run `npx ffmpeg-skill doctor` to check)
  • python3 on your PATH (on Windows, `python` or the `py` launcher may be needed instead)
  • Node.js, for `npx ffmpeg-skill`
  • A coding agent such as Claude Code, Cursor or Codex, or any MCP client
Maintain Ffmpeg Skill? Add the Featured on Deduped badge

Paste this into your README:

[![Featured on Deduped](https://dedupedai.com/badge/kajisho5-ffmpeg-skill.svg)](https://dedupedai.com/use-cases/kajisho5-ffmpeg-skill/?ref=badge)

More badge styles and HTML

Questions about Ffmpeg Skill

What is Ffmpeg Skill?

ffmpeg-skill is a local video editing toolkit for coding agents, with 42 FFmpeg-based tools, a machine-readable contract and an MCP server. It is an open-source project on GitHub: https://github.com/kajisho5/ffmpeg-skill.

Who is Ffmpeg Skill for?

Creators, editors and small teams who want an AI coding agent to cut, caption and export video on their own machine without uploading footage.

What can I do with Ffmpeg Skill?

4 use cases so far, for example: Cut an interview into a 60-second Reels clip; Turn a talking-head video into a captioned TikTok; Export one edit to nine social platforms at once. Each has steps and a copy-paste agent prompt.

What do I need to run Ffmpeg Skill?

ffmpeg and ffprobe on your PATH (run `npx ffmpeg-skill doctor` to check); python3 on your PATH (on Windows, `python` or the `py` launcher may be needed instead); Node.js, for `npx ffmpeg-skill`; A coding agent such as Claude Code, Cursor or Codex, or any MCP client.

What are alternatives to Ffmpeg Skill?

Other hot AI repos in Content: Voice Studio, Anatomy, Comfy UI, Hyperframes, Earshot.

Is Ffmpeg Skill safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.