Video frames

Skill ahostbr/LiteCLI/packages/litecli-pack/skills/video-frames

Universal CLI compiler for MCP servers and agent skills — built by Lite Suite

Install

npx -y skills add ahostbr/LiteCLI --skill video-frames

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Extract frames or short clips from videos using ffmpeg.

SKILL.md

0.9 KB, 131 tokens by cl100k_base, as published. Nobody here has run it

Video Frames (ffmpeg)

Extract a single frame from a video, or create quick thumbnails for inspection.

Quick start

First frame:

{baseDir}/scripts/frame.sh /path/to/video.mp4 --out /tmp/frame.jpg

At a timestamp:

{baseDir}/scripts/frame.sh /path/to/video.mp4 --time 00:00:10 --out /tmp/frame-10s.jpg

Notes

Prefer --time for “what is happening around here?”.
Use a .jpg for quick share; use .png for crisp UI frames.

Gives 0 of the 12 instructions most video audio skills give in 131 tokens

Counted across 621 of the 795 authors here whose files we hold, read 2026-08-06

read individual rule files for detailed explanationsin 21 of 621, across 9 files
Use WAV PCM 16kHz mono audio formatin 13 of 621, across 4 files
render final videoin 13 of 621, across 6 files
use this skill when dealing with Remotion codein 11 of 621, across 4 files
save generated audio to a WAV filein 11 of 621, across 4 files
handle conversion errors gracefullyin 10 of 621, across 6 files
add captions to videos alwaysin 10 of 621, across 4 files
generate music from text descriptions using MusicGenin 9 of 621, across 2 files
do not skip pipeline layersin 9 of 621, across 3 files
do not make one tool do everythingin 9 of 621, across 3 files
never ask the user to paste their full API keyin 9 of 621, across 3 files
use azure document intelligence for complex pdfsin 9 of 621, across 4 files

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.