Narrated explainer videos from real public-domain pictures.
A skill for your AI agent. Give it a topic and it writes the script, builds a free local voice-over, finds cleared pictures and renders a narrated explainer: 16:9 for YouTube, 9:16 for Shorts. The demo was rendered by the kit, not edited after.
The look
A real picture on screen almost all the time. A new one with every line.
1 to 5 word labels instead of text slides.
A paper canvas, bold lowercase titles, and a morph from title to picture at each chapter.
A red ✕ over the myth, split screens, grids, a struck-through word.
In the zip
SKILL.md: a 14-step workflow from topic to checked render.
The engine: 7 shot types, 16:9 and 9:16 from one shot list.
Voice builder: Kokoro, runs offline, commercial use allowed. Cuts land on the words.
Picture tools: Wikimedia Commons search that keeps only public domain, CC0 and CC BY, with a credit file. Share-alike pictures are blocked.
Render, music mix to -16 LUFS, a thumbnail template, QA scripts.
A working demo, 7 reference docs, two example videos, 13 stills.
You need
Node 20+, ffmpeg, Python 3.10 to 3.12, Chrome. About 1 GB of free disk.
An AI coding agent that runs shell commands and reads images, such as Claude Code.
No API keys, accounts or video editor.
Good to know
Tested on Apple Silicon macOS.
The 36 s demo renders in about two minutes.
Uses HyperFrames and GSAP (own free license; read it before commercial use). Fonts: SIL OFL.