Official descriptionOpen source5d ago
default-cybe/tech-explainer-video-skill
Make high-impact, premium-minimal animated tech-explainer videos locally (no paid APIs) — a Claude Code skill…
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Official descriptionMake high-impact, premium-minimal animated tech-explainer videos locally (no paid APIs) — a Claude Code skill + manim/Kokoro/faster-whisper engine.
- Star count
- 0 ★ · default-cybe/tech-explainer-video-skill · read from the GitHub search API · (checked 2026-10-16 20:00:20)
- Source
- read directly from its GitHub page · type: open-source project
- Harvest history
- first seen 2026-10-12 · last seen 2026-10-16 · seen 7× · listed by 1 sources
- Score
- score 103 · 1 sources · repo
- Install
pip install manim
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default-cybe/tech-explainer-video-skill；first catalogued 2026-10-12；last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.Third-party quality signals
tech-explainer-video-skill
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
A Claude Code skill for making animated explainer videos about technical stuff: a bug, a system design
question, an algorithm. Everything runs on your own machine. No paid APIs, no API keys.
I built this because I wanted to actually understand my own security findings, and reading a writeup
three times wasn't doing it. A short animated walkthrough with narration did.
The visual style is minimal on purpose. Black background, white and grey text, one accent colour, and
one diagram that stays on screen and changes as the explanation moves along. If you've seen the system
design reels from Engineering Digest, it's that kind of look.
What's in here
- skills/impactful-explainer-video/ is the skill itself. Claude reads SKILL.md and follows it.
- engine/ has the Python pieces the skill uses:
- theme3.py for the visual style and reusable parts (cards, status pill, dotted cube, mode cells)
- tts.py for narration with Kokoro, a local text to speech model
- captions.py for word level captions using faster-whisper
- sfx.py for sound effects and a quiet music bed, generated in code
- example/scenes.py is a two scene demo you can render to check your setup.
Install the tools
You need Python 3.12 (3.14 is too new for some of the packages), ffmpeg, and the fonts JetBrains Mono
and Noto Sans.
Then download the Kokoro voice model once:
Add the skill to Claude Code
As a plugin:
On Claude Code 2.1.275 or newer you can do it in one line:
Or copy the folder in by hand:
After that, ask Claude something like "make an animated explainer video about how a token bucket rate
limiter works" and it will follow the skill.
How a video gets made
1. Write the script as a list of scenes, each with a short narration.
2. tts.py turns each narration into a wav file and records how long it is.
3. Each scene is a manim animation that runs as long as its narration.
4. captions.py gets word timings from the audio and writes karaoke style captions.
5. sfx.py places small sound effects where the animation logged them, plus a soft music bed.
6. ffmpeg puts it together: video, narration, sound, and burned in captions.
The exact ffmpeg commands are in skills/impactful-explainer-video/references/pipeline.md.
A few things I learned the hard way
- Saturated red or green text on pure black gets ugly speckles after H.264 compression. Use the
softer, brighter versions of those colours, render at 2x and scale down.
question, an algorithm. Everything runs on your own machine. No paid APIs, no API keys.
I built this because I wanted to actually understand my own security findings, and reading a writeup
three times wasn't doing it. A short animated walkthrough with narration did.
The visual style is minimal on purpose. Black background, white and grey text, one accent colour, and
one diagram that stays on screen and changes as the explanation moves along. If you've seen the system
design reels from Engineering Digest, it's that kind of look.
What's in here
- skills/impactful-explainer-video/ is the skill itself. Claude reads SKILL.md and follows it.
- engine/ has the Python pieces the skill uses:
- theme3.py for the visual style and reusable parts (cards, status pill, dotted cube, mode cells)
- tts.py for narration with Kokoro, a local text to speech model
- captions.py for word level captions using faster-whisper
- sfx.py for sound effects and a quiet music bed, generated in code
- example/scenes.py is a two scene demo you can render to check your setup.
Install the tools
You need Python 3.12 (3.14 is too new for some of the packages), ffmpeg, and the fonts JetBrains Mono
and Noto Sans.
Then download the Kokoro voice model once:
Add the skill to Claude Code
As a plugin:
On Claude Code 2.1.275 or newer you can do it in one line:
Or copy the folder in by hand:
After that, ask Claude something like "make an animated explainer video about how a token bucket rate
limiter works" and it will follow the skill.
How a video gets made
1. Write the script as a list of scenes, each with a short narration.
2. tts.py turns each narration into a wav file and records how long it is.
3. Each scene is a manim animation that runs as long as its narration.
4. captions.py gets word timings from the audio and writes karaoke style captions.
5. sfx.py places small sound effects where the animation logged them, plus a soft music bed.
6. ffmpeg puts it together: video, narration, sound, and burned in captions.
The exact ffmpeg commands are in skills/impactful-explainer-video/references/pipeline.md.
A few things I learned the hard way
- Saturated red or green text on pure black gets ugly speckles after H.264 compression. Use the
softer, brighter versions of those colours, render at 2x and scale down.
- Source
- github · https://github.com/default-cybe/tech-explainer-video-skill
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