An AI-powered tool for Openclaw Skills that automates video captioning and cloud-based editing with rapid rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install caption-generator-jobs
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 caption-generator-jobs 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 Caption Generator — Auto-Generate Captions for Videos?
The Caption Generator is a sophisticated technical integration designed for the Openclaw Skills library. It eliminates the need for manual video editing by allowing users to describe their needs—such as the requirement to generate accurate captions in English and Spanish for this video—and receiving a processed file in 30-60 seconds. This skill handles the complexity of cloud GPU rendering, compositing video layers, and applying platform-specific compression automatically.
By integrating this tool into your AI agent workflow, you gain access to a professional-grade rendering pipeline. Whether you are working with short social media clips or longer interviews, this Openclaw Skills component ensures high caption accuracy and reliable file exports in standard formats like 1080p MP4. It effectively bridges the gap between raw footage and polished, accessible content.
Caption Generator — Auto-Generate Captions for Videos Use Cases
- Social media creators looking to generate accurate captions in English and Spanish for this video quickly.
- Marketers needing to add text overlays and subtitles to product demos using Openclaw Skills.
- Video producers requiring fast, automated transcription without manual data entry.
- Developers building automated video processing pipelines using the Openclaw Skills framework.
- Iterative editing where users refine captions and visual styles through natural language prompts.
How Caption Generator — Auto-Generate Captions for Videos Works
- The agent authenticates using a NEMO_TOKEN or requests an anonymous token via the Openclaw Skills authentication flow.
- A project session is initiated to track editing state and timeline metadata.
- Video files (up to 500MB) are uploaded to the remote storage via the cloud pipeline.
- Natural language instructions are sent through an SSE stream to generate accurate captions in English and Spanish.
- The cloud GPU node composites the video, applying H.264 compression and 1080p resolution.
- The user receives a download link for the final rendered MP4 once the polling process confirms job completion.
Caption Generator — Auto-Generate Captions for Videos Setup
To use this within the Openclaw Skills environment, ensure your API token is configured in your environment variables:
export NEMO_TOKEN="your_nemo_api_token"
If no token is found, Openclaw Skills will automatically attempt to acquire an anonymous starter token with 100 free credits. The skill also requires configuration paths at ~/.config/nemovideo/ for session persistence.
Caption Generator — Auto-Generate Captions for Videos Data Schema & Taxonomy
The skill organizes video project data using the following taxonomy:
| Field | Description |
|---|---|
session_id |
Unique identifier for the current editing project in Openclaw Skills. |
draft |
JSON object containing tracks (t), track types (tt), and segments (sg). |
generated_media |
Metadata for assets created during the session, including rendered URLs. |
credits |
Balance tracking for rendering jobs (available, frozen, total). |
Track types within the Openclaw Skills draft mapping use 0 for Video, 1 for Audio, and 7 for Text overlays.
Caption Generator — Auto-Generate Captions for Videos Advanced Features
- Supports Server-Sent Events (SSE) for real-time processing updates and heartbeat monitoring within Openclaw Skills.
- Multi-track timeline management allowing simultaneous video, audio, and text layer manipulation.
- Automatic translation of GUI-based backend commands (like click or drag-and-drop) into executable API actions.
- High-performance cloud GPU rendering for 1080p H.264 MP4 exports with platform-specific optimization.
- Batch processing capabilities to handle multiple uploads and rendering jobs in a single session.
SKILL.md
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