anything2explainer

English | 简体中文

Topic in, narrated explainer video out. anything2explainer is a Claude Code / Codex skill that turns any topic into a black-canvas motion-graphics explainer video with TTS voiceover, subtitles and a chapter progress bar, in Chinese or English. Every frame is drawn in code with Remotion (React + TypeScript). No stock footage, no generative video model, no frames lifted from anyone else's work.

It is not a CLI. What ships here is the whole method an AI coding agent needs to finish the film: a compilable Remotion template, a primitives and lighting library, tooling for voiceover / storyboard / rendering / quantitative QC, written style and motion specs, a multi-agent division-of-labour protocol, and one complete reference film as the quality bar.

English cut — RAG & Knowledge Bases, 5′02″, 44 lines / 785 words, voiced by kokoro-82m am_liam at natural speed:

https://github.com/user-attachments/assets/e2771c68-a28c-4459-ac5a-a5b685181eeb

Chinese cut — RAG 与知识库 v2, 4′54″, 44 lines / 1490 characters, dot-field backdrop (bg: 'dots'), voiced through the bring-your-own-TTS path (Volcengine TTS 2.0 + forced alignment):

https://github.com/user-attachments/assets/5c213990-cbba-439e-8371-fbb3aa348e05

Both cuts share one storyboard and 44 shots; the English cut re-times every shot to the English voiceover. The full paper trail of the original Chinese cut (4′35″, star-field backdrop, 8 build agents in parallel for 40 minutes, two QC rounds) lives in examples/rag/ (research → narration → storyboard → shot source → QC reports → delivery notes); rendered frames are in examples/rag/frames/.

What it does

• Input: a topic ("explain vector databases"), or an article / document you want turned into a video. You also pick the length and the language.
• Output: a 1280×720 H.264 MP4 with synchronized voiceover, word-boundary-aligned subtitles, chapter cards, a top HUD and a bottom chapter progress bar, plus the full paper trail (research doc with sources, narration, storyboard, per-shot source code, QC reports).
• How: the agent researches the topic with sources, writes the narration, generates the voiceover and frame-accurate timeline, storyboards every shot, then dispatches parallel build agents that write one Remotion component per shot. QC agents review the rendered frames against written criteria before delivery.
• Time: roughly 1 to 3 hours of wall clock depending on length, most of it agents building shots in parallel. You are consulted at exactly four checkpoints.

Output spec