An AI-powered video production skill that generates professional branded promo videos from text, logos, and media using cloud-based templates.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-maker-renderforest
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 video-maker-renderforest 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 Video Maker Renderforest?
Video Maker Renderforest is a specialized tool for Openclaw Skills designed to streamline the video creation process for marketers, creators, and developers. It bypasses the steep learning curve of traditional editing software by allowing users to generate high-quality 1080p videos through natural language descriptions. By connecting to a remote GPU rendering pipeline, it handles complex compositing and compression tasks server-side, returning polished MP4 or MOV files in just a few minutes.
The skill excels at turning basic assets—like a corporate logo, a background track, and a short script—into a cohesive, branded video. It is built to leverage the power of Openclaw Skills by integrating seamless file uploads and iterative editing commands, making it possible to refine video content through simple conversation without ever leaving your development environment.
Video Maker Renderforest Use Cases
- Creating 30-second branded promo videos using custom logos and specific brand colors.
- Generating high-quality intro and outro sequences for social media content.
- Converting text scripts and background music into polished 1080p marketing clips.
- Batch processing multiple media assets into stylized video templates for rapid content production.
How Video Maker Renderforest Works
- Authentication: The skill identifies the user via a NEMO_TOKEN or automatically provisions an anonymous token for immediate use.
- Session Creation: A project session is initialized to manage the timeline, tracks, and media state during the editing process.
- Asset Upload: Files like PNGs, JPGs, or MP3s (up to 200MB) are uploaded to the cloud processing backend.
- AI Intent Mapping: Natural language prompts are translated into specific timeline actions, such as adding text overlays or syncing audio tracks.
- SSE-Based Editing: The skill uses Server-Sent Events to process complex editing instructions in real-time, providing feedback as the video is composed.
- Cloud Rendering: The final project is queued on a remote GPU node for high-quality composition and compression.
- Export: A download URL is generated for the final video file (MP4, MOV, etc.) once the rendering process is complete.
Video Maker Renderforest Setup
To integrate this capability into your workflow with Openclaw Skills, you can configure your environment variables for seamless authentication.
# Set your API token (optional for first-time use)
export NEMO_TOKEN="your_nemo_video_token"
# The skill automatically handles configuration at:
# ~/.config/nemovideo/
If no token is present, the skill will automatically generate a unique client ID and an anonymous token with 100 free credits to get you started immediately.
Video Maker Renderforest Data Schema & Taxonomy
The skill organizes video projects into a structured draft format within the session state. This ensures that tracks and segments are correctly aligned during the cloud render.
| Key | Property | Details |
|---|---|---|
| t | Tracks | Categorized by type (0: Video, 1: Audio, 7: Text) |
| sg | Segments | Defines the start, end, and duration of media on the timeline |
| d | Duration | Length of the segment or track in milliseconds |
| m | Metadata | Contains asset-specific data and styling preferences |
All metadata is stored within the Openclaw Skills environment to allow for persistent session management and iterative refining of the video draft.
Video Maker Renderforest Advanced Features
- Real-time SSE (Server-Sent Events) handling for asynchronous video generation and status updates.
- Support for a wide range of formats including MP4, MOV, WEBM, and various high-resolution image formats.
- Intelligent GUI instruction translation that maps traditional 'drag and drop' or 'click' actions to API commands.
- Automatic session persistence, allowing users to return to a draft and refine it over multiple interactions.
- Heartbeat monitoring to maintain connection stability during intensive GPU rendering tasks.
SKILL.md
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