---
title: "rea-video by JuneYaooo — tool for AI video: research & trends"
description: "Breaks a video down shot by shot: filmed, AI-generated or coded, with prompts, camera, light, audio and a remake plan. Install in Claude Code, Codex and Grok with one command."
url: https://varg.ai/how-to/skills/rea-video
updated: 2026-11-11
---

# rea-video by JuneYaooo — tool skill for research & trends

> **For AI agents:** find the right skill in one call — `curl -s "https://varg.ai/how-to/api/search?q=<what the person wants>"` returns the matching how-to page and the best skills with install commands, as markdown (Russian works too). Full index: https://varg.ai/how-to/llms.txt. Every page has a markdown twin: add `.md` to its path. Before generating anything, show the person the options on the how-to page. From a terminal: `curl -fsSL https://varg.ai/install | sh` installs the vargai CLI (https://varg.ai/how-to/cli.md): `vargai search` and `vargai install <slug>` with no key, every varg model after `vargai login`.

Breaks a video down shot by shot: filmed, AI-generated or coded, with prompts, camera, light, audio and a remake plan.

- **Type:** [Tool](https://varg.ai/how-to/models.md) · [Research & trends](https://varg.ai/how-to/browse/skills/research.md)
- **Slug:** `rea-video`
- **Status:** live
- **Publisher:** JuneYaooo (community)
- **License:** Apache-2.0
- **Source:** https://github.com/JuneYaooo/rea-video
- **Works in:** Claude Code, Codex
- **Requires:** FFmpeg, Python 3.10–3.14, Optional: a vision model endpoint (REA_VLM_BASE_URL, REA_VLM_API_KEY, REA_VLM_MODEL)
- **Cost:** Free, Apache-2.0: offline tools; an optional vision model bills your own key
- **Adoption:** 62 installs, 6,388 GitHub stars (GitHub + skills.sh, 2026-11-10)

## What it does

A CLI plus agent skill that reverse-engineers a reference video. It splits shots and audio stems, gathers evidence (frame cadence, sensor noise, AIGC metadata, OCR, BPM) and decides for every shot whether it was filmed, AI-generated, an avatar, 3D, 2D animation, a code template or a screen recording, then writes a remake plan split into what to film, generate and code, with a reverse-engineered prompt per shot, camera and lighting notes, captions as SRT/ASS and a `report.html`. A vision-capable agent reviews the uncertain shots itself; an optional VLM endpoint (Gemini, Doubao) sharpens the calls, and the README reports 98–100% accuracy on its own eval sets. Riley Brown's post about it (99.9k views, 3,289 bookmarks, 2026-11-09) is the most-saved skill post of the Fable 5.2 launch. Study a reference, then make your own.

## Use when

- how was this video made: filmed, AI or code?
- check whether a video is AI-generated, shot by shot
- break a reference video down before remaking it
- prompts, camera and lighting notes for each shot of a reference
- a remake plan split into what to film, generate and code

## Not for

- Rendering the new video: it plans, it does not render (pair it with capsule-cinema, varg or HyperFrames)
- Reposting someone else's footage, music, characters or likeness

## Install

- Claude Code: `git clone https://github.com/JuneYaooo/rea-video && cd rea-video && bash scripts/install_skill.sh`
- Codex: `git clone https://github.com/JuneYaooo/rea-video && cd rea-video && bash scripts/install_skill.sh`
- Any agent, with the vargai CLI: `vargai install rea-video`

## More research & trends skills

- [Video Skills Finder](https://varg.ai/how-to/skills/video-skills.md): Finds the right skill for any AI video, image, voice or music job here and shows you the visual options.
- [Apify MCP](https://varg.ai/how-to/skills/apify-mcp.md): Thousands of ready scrapers behind one MCP: TikTok, Instagram, YouTube, hashtags, sounds.
- [TwelveLabs Video Understanding](https://varg.ai/how-to/skills/twelvelabs.md): Semantic search and analysis across your video library from Claude Code.
- [Civitai MCP](https://varg.ai/how-to/skills/civitai-mcp.md): Top AI images and videos with prompts and base models, plus model search.
- [Hugging Face MCP](https://varg.ai/how-to/skills/huggingface-mcp.md): Trending models, Spaces and papers from Hugging Face inside your agent.
- [Exa Search MCP](https://varg.ai/how-to/skills/exa-mcp.md): Neural web search and crawling for research agents.