explaingit

phongmenly/editvideoskill

Analysis updated 2026-05-18

15PythonAudience · vibe coderComplexity · 2/5Setup · moderate

TLDR

A companion style kit for the video-use editing tool, adding one creator's brand colors, keyword callouts, and overlay templates to talking-head videos.

Mindmap

mindmap
  root((editvideoskill))
    What it does
      Adds brand style to videos
      Keyword callouts
      Circular picture in picture
    Tech stack
      Python
      Pillow
      FFmpeg
    Use cases
      Apply brand defaults
      Generate overlay clips
      Add opening hook
    Design
      Companion to video-use
      Refined over five reviews
      Reusable recipe not a project
    Audience
      Video creators
      video-use users

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Apply a consistent neon yellow and white brand style to talking-head videos edited with video-use.

USE CASE 2

Generate keyword callout overlays instead of full subtitles for a video.

USE CASE 3

Add a circular picture-in-picture clip to a longer animated video segment.

USE CASE 4

Run standalone helper scripts to produce overlay clips ready for a video-use edl.json file.

What is it built with?

PythonPillowFFmpeg

How does it compare?

phongmenly/editvideoskill0pen-sourcer/hearth13127905/deep-learning-based-air-gesture-text-recognition-
Stars151515
LanguagePythonPythonPython
Setup difficultymoderatemoderatemoderate
Complexity2/53/53/5
Audiencevibe codervibe coderdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires video-use already installed with ffmpeg and Python set up first.

In plain English

This project is called video-brand-kit, though the repository itself is named editvideoskill. It is a small companion tool built to work alongside a separate project called video-use, which handles the core work of editing talking-head videos: transcribing speech, cutting clips, color grading, and rendering the final file. This kit does not replace or fork that tool. Instead, it adds one creator's specific visual style on top of it, including a neon yellow and white color scheme, short keyword callouts shown on screen instead of full subtitles, a circular picture-in-picture layout for longer animated segments, and a branded opening hook shown at the start of a video. The styling choices in this kit were refined across five rounds of real feedback on an actual video, and the reasoning behind each decision is written out in a file called SKILL.md rather than just left as final settings. To use it, a person needs video-use already installed, along with ffmpeg and Python, since this kit only adds one extra dependency, the Pillow image library, which video-use's own environment already includes. The kit is meant to be read at the start of a video-use editing session, right after video-use's own instructions, so that brand style, subtitle treatment, and animation layout follow this creator's established defaults instead of being decided from scratch each time. It also includes four standalone helper scripts that can be run directly from the command line to generate individual overlay clips, such as a keyword tag, a corner badge, an opening hook overlay, and a circular picture-in-picture clip. Each script produces a video file meant to be dropped into video-use's project configuration. The repository intentionally does not include any API keys, environment files, or finished videos from the session it was built from, since it is meant to be a reusable style recipe rather than a specific finished project.

Copy-paste prompts

Prompt 1
Explain how this kit's SKILL.md changes the defaults video-use uses when editing my video.
Prompt 2
Walk me through installing this kit alongside an existing video-use setup.
Prompt 3
Show me how to run helpers/keyword_tag.py to generate a keyword callout clip.
Prompt 4
Describe how the circular picture-in-picture helper script works and what options it takes.

Frequently asked questions

What is editvideoskill?

A companion style kit for the video-use editing tool, adding one creator's brand colors, keyword callouts, and overlay templates to talking-head videos.

What language is editvideoskill written in?

Mainly Python. The stack also includes Python, Pillow, FFmpeg.

How hard is editvideoskill to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is editvideoskill for?

Mainly vibe coder.

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