SkillAgentSearch skills...

short-form-ffmpeg-cookbook

Short-form FFmpeg cookbook: copyable commands for Reels. Turns raw footage into a 1080×1920 9:16 MP4 for Reels, TikTok and Shorts with burned-in captions (SRT or ASS), trims and joins clips, and lays music under the voice with ducking. Every command was run on test media.

Install / Use

npx skills add hashgraph-online/awesome-codex-plugins --skill short-form-ffmpeg-cookbook

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

85/100

Category

Other

Supported Platforms

Claude Code
OpenAI Codex

Our assessment of short-form-ffmpeg-cookbook

short-form-ffmpeg-cookbook scores 85/100 on our quality scale, 199th of 296 Other skills we index.

Its SKILL.md is 5.3 KB long, well organised into 19 sections with 5 code examples: a solid amount of guidance for an agent.

With 1,075 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
20/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated about 2 months ago, so short-form-ffmpeg-cookbook is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

short-form-ffmpeg-cookbook compared with similar skills

All 4 of these similar skills score higher than short-form-ffmpeg-cookbook; compare them before choosing.

SkillScoreStarsUpdatedFormat
short-form-ffmpeg-cookbook (this skill)by hashgraph-online851.1k46d agoSKILL.md
LocalAIby mudler10050.3ktodayMCP Server
algorithmic-artby anthropics100177.9k47d agoSKILL.md
pptxby anthropics100177.9k47d agoSKILL.md
designby nextlevelbuilder100143.4k8d agoSKILL.md

Frequently asked questions

How do I install short-form-ffmpeg-cookbook?
Run npx skills add hashgraph-online/awesome-codex-plugins --skill short-form-ffmpeg-cookbook. The install tabs above show the steps for each supported agent.
Which AI agents does short-form-ffmpeg-cookbook work with?
It is written for Claude Code and OpenAI Codex, as a SKILL.md file. Other agents that read the same format can often use it too.
Is short-form-ffmpeg-cookbook safe to use?
It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is short-form-ffmpeg-cookbook still maintained?
The repository was last updated about 2 months ago, so short-form-ffmpeg-cookbook is actively maintained.

name: short-form-ffmpeg-cookbook description: >- Short-form FFmpeg cookbook: copyable commands for Reels. Turns raw footage into a 1080×1920 9:16 MP4 for Reels, TikTok and Shorts with burned-in captions (SRT or ASS), trims and joins clips, and lays music under the voice with ducking. Every command was run on test media. Free and local; works in Claude Code, Codex and Grok, or on the varg ffmpeg tool (credits) when the agent has no shell. Use when the user wants to crop to vertical, burn subtitles, cut or join clips, or add background music with FFmpeg. NOT for animated word-by-word captions (use Remotion or HyperFrames caption skills) or for choosing an editing service (use varg-video-editing). license: MIT metadata: author: vargHQ version: "1.0.0" openclaw: requires: anyBins: - ffmpeg homepage: https://github.com/vargHQ/skills/tree/main/short-form-ffmpeg-cookbook compatibility: >- Any OS with ffmpeg and ffprobe. Burning captions needs an FFmpeg built with libass (ffmpeg -filters | grep subtitles); if it prints nothing, use brew install ffmpeg-full, a static build or npx ffmpeg-static. allowed-tools: Bash(ffmpeg:) Bash(ffprobe:) Read

Short-form FFmpeg cookbook: copyable commands for Reels

Input: a video (any size), optionally an SRT file and a music track. Output: a 1080×1920 9:16 MP4 ready for Reels, TikTok and Shorts. Probe first, run one recipe at a time, check the result with ffprobe and a frame grab before the next step.

ffprobe -v error -show_entries stream=codec_type,codec_name,width,height,r_frame_rate -show_entries format=duration -of compact=p=0 input.mp4

1. Crop to 9:16 vertical

# center crop, full height
ffmpeg -i input.mp4 -vf "crop=ih*9/16:ih,scale=1080:1920,setsar=1" -c:v libx264 -crf 20 -c:a copy vertical.mp4
# subject off-center: add the x offset in px
ffmpeg -i input.mp4 -vf "crop=ih*9/16:ih:200:0,scale=1080:1920,setsar=1" -c:v libx264 -crf 20 -c:a copy vertical.mp4
# keep the whole frame over a blurred copy
ffmpeg -i input.mp4 -filter_complex "[0:v]scale=1080:1920:force_original_aspect_ratio=increase,crop=1080:1920,boxblur=20:2[bg];[0:v]scale=1080:-2[fg];[bg][fg]overlay=(W-w)/2:(H-h)/2,setsar=1" -c:v libx264 -crf 20 -c:a copy vertical-blur.mp4

2. Burn in captions

ffmpeg -i vertical.mp4 -vf "subtitles=subs.srt:force_style='FontName=Arial,FontSize=14,Bold=1,Outline=2,Alignment=2,MarginV=60'" -c:v libx264 -crf 20 -c:a copy captioned.mp4
# styled or karaoke captions: convert, edit the .ass, burn
ffmpeg -i subs.srt subs.ass
ffmpeg -i vertical.mp4 -vf "ass=subs.ass" -c:v libx264 -crf 20 -c:a copy captioned.mp4
# soft subtitles (switchable, no re-encode)
ffmpeg -i input.mp4 -i subs.srt -map 0 -map 1 -c copy -c:s mov_text -metadata:s:s:0 language=eng soft.mp4

Keep captions out of the bottom 14% and the right edge of a 9:16 frame, where the platform buttons sit. Check a frame: ffmpeg -ss 2 -i captioned.mp4 -frames:v 1 frame.png, then read it.

3. Trim and join

# frame-accurate trim (re-encodes)
ffmpeg -ss 00:00:05 -to 00:00:12 -i input.mp4 -c:v libx264 -crf 18 -c:a aac clip.mp4
# instant lossless trim (cuts on keyframes, may start a few seconds off)
ffmpeg -ss 00:00:05 -to 00:00:12 -i input.mp4 -c copy clip.mp4
# join clips with the same codec, size and frame rate
printf "file 'clip1.mp4'\nfile 'clip2.mp4'\n" > list.txt
ffmpeg -f concat -safe 0 -i list.txt -c copy joined.mp4
# join clips that differ: scale and pad each to 1080x1920, then concat
ffmpeg -i a.mp4 -i b.mp4 -filter_complex "[0:v]scale=1080:1920:force_original_aspect_ratio=decrease,pad=1080:1920:(ow-iw)/2:(oh-ih)/2,setsar=1,fps=30[v0];[1:v]scale=1080:1920:force_original_aspect_ratio=decrease,pad=1080:1920:(ow-iw)/2:(oh-ih)/2,setsar=1,fps=30[v1];[v0][0:a][v1][1:a]concat=n=2:v=1:a=1[v][a]" -map "[v]" -map "[a]" -c:v libx264 -crf 20 -c:a aac joined.mp4

Every clip in the concat filter needs an audio track; give a silent one -f lavfi -i anullsrc=r=48000:cl=stereo -shortest.

4. Music under the voice

# duck the music while people talk
ffmpeg -i input.mp4 -i music.mp3 -filter_complex "[0:a]asplit=2[voice][key];[1:a]volume=0.4[m];[m][key]sidechaincompress=threshold=0.03:ratio=8:attack=20:release=400[ducked];[voice][ducked]amix=inputs=2:duration=first:normalize=0[a]" -map 0:v -map "[a]" -c:v copy -c:a aac output.mp4
# flat music bed
ffmpeg -i input.mp4 -i music.mp3 -filter_complex "[1:a]volume=0.25[m];[0:a][m]amix=inputs=2:duration=first:normalize=0[a]" -map 0:v -map "[a]" -c:v copy -c:a aac output.mp4
# replace the sound, loop the track, fade out (20 s video)
ffmpeg -i input.mp4 -stream_loop -1 -i music.mp3 -map 0:v -map 1:a -c:v copy -c:a aac -shortest -af "afade=t=out:st=18:d=2" output.mp4
# loudness check (platforms normalize to about -14 LUFS)
ffmpeg -i output.mp4 -af ebur128 -f null -

Use music you made or licensed for the platform. normalize=0 needs FFmpeg 4.4 or later.

No shell

Send the same command to the varg ffmpeg tool (MCP call_tool, or POST https://api.varg.ai/v2/ffmpeg), or use its resize, trim and slice tools, with URLs in and out. Priced in credits, with an estimate before it runs. Tutorials: https://skills.varg.ai/burn-captions-with-ffmpeg/, https://skills.varg.ai/crop-a-video-to-vertical-with-ffmpeg/, https://skills.varg.ai/trim-and-join-video-clips-with-ffmpeg/, https://skills.varg.ai/add-music-to-a-video-with-ffmpeg/.

Related Skills

View on GitHub
GitHub Stars1.1k
CategoryOther
Updated1mo ago
Forks294

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions