open-edits skill

Six editing skills for Claude Code that turn a raw talking-head clip into an animated short with captions, rendered locally

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  • MIT
Skill

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Why this level

  • The skills run Python scripts, download logos, portraits, GIFs and clips from search, and write project files.
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kevinbadi/open-edits

Install

In your terminal, with SkillFoxx CLI

npx skillfoxx add skills/open-edits

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How we review

Extended accessThe tool runs code or makes network calls and only reads external data.

  • The skills run Python scripts, download logos, portraits, GIFs and clips from search, and write project files.

This is third-party code. Review the repository files before installing.

What it does

`open-edits` is a set of video editing skills for Claude Code. The flagship `split-animated-talking-head` takes a raw clip and builds a vertical 1080x1920 short: the talking head in a band at the bottom and an animated zone above with logos, faces, GIF reactions, counters and captions synced to the words. `longform-animated-talking-head` covers 16:9 YouTube, and `fireship-style-edit` and `fireship-style-short` cover faceless news videos. The `reverse-engineer` skill measures a reference video (shot length, events per minute, palette) and scaffolds a new style skill from it. Every frame is drawn in Python, rendering is local through `ffmpeg`, and the original clip's audio drives the timeline.

Who it is for. Creators of short videos and YouTube channels who edit talking heads and want dense animation without a timeline.

Good fit when

  • A raw talking-head clip should become a vertical animated short
  • A long horizontal video needs transitions and chapter beats
  • A Fireship-style news video is assembled over a voiceover
  • Another editor's manner is to be measured and reproduced in a new skill

Not a fit when

  • You need editing on a finished timeline such as Premiere or DaVinci
  • The machine has no Python 3.9 or `ffmpeg`, or is too weak for frame rendering
  • Videos must not contain third-party logos, faces and clips from search

Example request

Edit this talking-head clip, ~/Downloads/my-clip.mov, with word-timed captions and animation above the frame.

Limitations

It needs Claude Code, Python 3.9 or newer and `ffmpeg`; the `requirements.txt` dependencies include `openai-whisper`, `opencv-python` and `yt-dlp`. The author built and tested on macOS, and other systems fall back to bundled fonts. Logos, portraits and GIFs are fetched at edit time and are not in the repository, with rights remaining with their owners. The examples reference missing `assets` and `source` folders and are read as patterns. GIFs need a free Giphy key and the avatar mode needs HeyGen.

How to disable. Delete the skill folders from `~/.claude/skills` or the project `.claude/skills`. Remove the repository clone and the `projects` folder with renders separately.

FAQ

How do I install it?

Clone the repository, run `pip install -r requirements.txt`, install `ffmpeg` and run `./install.sh`: the skills are copied into `~/.claude/skills` or into `.claude/skills` of the given project.

Which skill is the main one?

`split-animated-talking-head`: it prepares the face band, clean audio and word timestamps, then draws frames and builds a vertical MP4.

Are paid services required?

No, rendering is local. The Giphy key is free and the HeyGen key is needed only for the avatar mode in `split-animated-short`.

How do I reproduce another editing style?

Give `reverse-engineer` a reference video. It measures shots, rhythm, motion and palette, builds contact sheets and scaffolds the first version of a new style skill with a demo render.

How long does rendering take?

The README puts a 30-second short at a few minutes, and final renders split into parallel chunks through `RANGE`.

Discussion

No questions or reviews yet.

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README in short

The documentation lists skills and prep scripts, the editing flow from clip to MP4, install steps, example requests and platform notes. Example projects sit alongside.

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