A comprehensive automation tool that extracts AI painting prompts, storyboards, and stylistic rewrites from Douyin videos.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install douyin-reverse-engineer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install douyin-reverse-engineer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Douyin Reverse Engineer?
Douyin Reverse Engineer is a specialized extension designed for the Openclaw Skills ecosystem that automates the creative deconstruction of short-form video content. By inputting a simple Douyin URL, the skill initiates a sophisticated pipeline that downloads the media, analyzes visual elements using the Doubao AI model, and generates structured output including reverse-engineered AI prompts and scene-by-scene storyboards. This tool is essential for creators and developers who need to understand the underlying creative logic and prompt engineering behind viral visual content.
Built to integrate seamlessly with other Openclaw Skills, it bridges the gap between video consumption and creative production. Whether you are looking to replicate a specific visual style in Stable Diffusion or need a detailed script for a game-inspired project, this skill provides the technical foundation to transform raw video data into actionable creative assets.
Douyin Reverse Engineer Use Cases
- Extracting precise AI image generation prompts from viral Douyin visual effects.
- Deconstructing video narratives into professional storyboards for production planning.
- Transforming standard video descriptions into specific aesthetic styles like Rusty Lake for game development.
- Automating the research phase for social media content creators looking for stylistic inspiration.
- Batch processing local video files to generate metadata and creative prompts.
How Douyin Reverse Engineer Works
- The user provides a Douyin URL or points to a local video file via the command line.
- The system invokes the video-downloader dependency to retrieve the video using yt-dlp.
- The doubao-video-analyzer processes the video through the Volcengine ARK API to interpret visual and narrative context.
- The skill generates reverse-engineered AI painting prompts based on the detected visual styles.
- Optionally, the content is rewritten into a specific gaming style (e.g., Rusty Lake) using the Seed-2.0-lite model.
- All generated assets, including the video and text files, are saved to the designated output directory.
Douyin Reverse Engineer Setup
To use this tool within the Openclaw Skills framework, you must first install the required sub-skills and system dependencies:
npx clawhub install doubao-video-analyzer
npx clawhub install video-downloader
Ensure you have Python 3.8+, ffmpeg, and yt-dlp installed on your system. You must also configure your Volcengine API key as an environment variable:
export ARK_API_KEY="your_ark_api_key_here"
Douyin Reverse Engineer Data Schema & Taxonomy
The skill organizes extracted data into structured formats to ensure compatibility with other Openclaw Skills components:
| Data Component | Format | Description |
|---|---|---|
| Source Video | .mp4 | The original video file downloaded from Douyin. |
| Prompt List | Markdown/Text | A list of AI drawing prompts reverse-engineered from the visual frames. |
| Storyboard | Markdown | A scene-by-scene breakdown including timestamps and visual descriptions. |
| Rewritten Script | Markdown | The narrative content transformed into a specific gaming or artistic style. |
| Metadata | JSON | Technical details regarding the download and analysis process. |
Douyin Reverse Engineer Advanced Features
- Support for Rusty Lake stylistic rewrites using the Seed-2.0-lite large model for scene-by-scene transformation.
- Local mode processing to analyze existing video files without re-downloading.
- Configurable output directories for organized project management within your Openclaw Skills workflow.
- Modular execution flags allowing users to skip rewriting or download-only tasks.
- Integration with high-performance video analysis engines via the ARK API.
SKILL.md
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