An AI-powered video editing skill that automatically cuts and arranges clips into polished showcase reels using natural language.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install showcase-video
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 showcase-video 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 Showcase Video AI Skill?
Showcase Video is a sophisticated tool within the Openclaw Skills ecosystem designed to eliminate the steep learning curve of professional video editing software. By simply describing the desired output, users can cut the best moments and arrange them into a 60-second showcase reel in minutes. This skill acts as a bridge to cloud-based GPU rendering, allowing for high-definition 1080p video production without taxing local hardware resources.
Built for speed and efficiency, the skill integrates directly into AI agent workflows to handle everything from file uploads to complex timeline assemblies. Whether you are generating marketing content or product demos, using Openclaw Skills like this one ensures that technical barriers don't stand in the way of high-quality video production.
Showcase Video AI Skill Use Cases
- Creating quick marketing highlights from long-form product recordings.
- Automatically generating 60-second showcase reels for social media platforms.
- Batch processing multiple video assets into standardized 1080p MP4 exports.
- Iterative video refinement through conversational AI commands instead of manual timeline manipulation.
How Showcase Video AI Skill Works
- Authentication: The skill initializes by verifying a NEMO_TOKEN or generating an anonymous session token.
- Session Establishment: A project session is created via the API to track editing progress and timeline state.
- Media Upload: Source files up to 500MB (MP4, MOV, AVI, etc.) are uploaded to cloud storage.
- AI Processing: The user provides natural language instructions which are sent via Server-Sent Events (SSE) to the editing engine.
- Rendering: The backend composites layers on cloud GPU nodes and applies H.264 compression.
- Export: The final video is rendered and a download URL is provided to the user once the process hits 100% completion.
Showcase Video AI Skill Setup
To integrate this capability into your environment using Openclaw Skills, you need to configure your environment variables or allow the skill to manage anonymous tokens.
# Set your API token for persistent access
export NEMO_TOKEN="your_token_here"
The skill will automatically check for this token in your environment or configuration paths (e.g., ~/.config/nemovideo/). If no token is found, it will automatically register an anonymous client ID to get you started immediately.
Showcase Video AI Skill Data Schema & Taxonomy
The Showcase Video skill organizes data using a minimized JSON schema to ensure fast transmission over SSE streams. Below is the metadata taxonomy used for timeline management:
| Key | Definition | Values |
|---|---|---|
t |
Tracks | Array of media layers |
tt |
Track Type | 0 (Video), 1 (Audio), 7 (Text) |
sg |
Segments | Objects defining start/end points |
d |
Duration | Time in milliseconds |
m |
Metadata | File properties and source URLs |
All state information is stored server-side and identified by a unique session_id to allow for multi-turn editing sessions.
Showcase Video AI Skill Advanced Features
- Real-time SSE Event Handling: Provides live feedback during the editing process with heartbeat monitoring.
- Automated GUI Mapping: Translates visual commands like 'drag and drop' or 'click' into precise API editing instructions.
- Smart Credit Management: Integrated balance checking to ensure rendering tasks have sufficient resources before starting.
- Multi-Format Support: Handles a wide variety of containers including WebM, MKV, and various image/audio formats for overlays.
SKILL.md
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