anything2explainer
Turns any topic into a motion-graphics explainer video using Claude Code or Codex.
A Claude Code and Codex skill for code-drawn, narrated motion graphics with subtitle alignment.
anything2explainer is a specialized workflow skill for AI coding agents that compiles research, scripts, voiceovers, and Remotion components into complete explainer videos. It is designed for developers and content producers who want to automate black-canvas motion graphics without stock footage or generative video models.
What it is
The skill orchestrates a 9-stage pipeline from topic input to final MP4, handling sourced research, narration, TTS voice generation with word boundaries, storyboarding, and parallel shot generation. It uses React and TypeScript via Remotion to draw every frame natively on a black canvas with star-field or dot-field backdrops, custom HUDs, and chapter progress bars.
Who it's for
It suits technical professionals, educators, and developers comfortable with Claude Code, Codex, FFmpeg, and Python environments who need programmatic control over video production. It does not suit non-technical users looking for a traditional drag-and-drop timeline editor.
Key features
Agent Division of Labour
Dispatches parallel build agents to write individual Remotion components per shot based on your topic.
Code-Drawn Remotion Frames
Renders every frame in code using React and TypeScript without relying on stock footage or AI video models.
Word-Boundary Alignment
Synchronizes TTS voiceover data with frame-accurate timelines and subtitle tables automatically.
Quantitative QC Checks
Runs metric scripts against rendered frames to catch visual errors before final delivery.
Up and running in 3 steps
Our honest verdict
What's great
- Generates entire multi-minute explainer videos from a single text topic input
- Every single frame is deterministically drawn in code using Remotion and TypeScript
- Built-in multi-agent pipeline handles research, narration, storyboarding, and quality control
- Supports local TTS engines like Kokoro and Piper alongside cloud options like edge-tts
Where it falls short
- Requires active setup of Claude Code or Codex, Python virtual environments, Node, and FFmpeg
- Building shots across parallel agents takes 1 to 3 hours of wall clock time per video
- Local English TTS engine Kokoro can be difficult to install on ARM Linux architectures without proper package tuning
Pricing & license
Free under its license. The only cost is running your own hardware, API keys, and local TTS computation.
Open remote AI-training roles
873 open remote AI-training roles, updated November 15, 2026; most pay $20–$170 an hour. Zekai lists them free; the application goes to the employer’s platform.
Alternatives
These reviewed AI tools do the same job instantly — from our scored directory.
Use it, or have us set it up
FAQ
What AI agents does this skill support?
It is built specifically as a skill for Claude Code and OpenAI's Codex.
Can I use custom text-to-speech engines?
Yes, you can use edge-tts, local Kokoro, Piper, Volcengine TTS 2.0, or bring your own finished audio.
