An AI-powered tool that automatically generates multilingual captions and edits videos through simple natural language prompts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install caption-generator-from-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 caption-generator-from-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 Caption Generator From Video?
This skill provides a seamless interface for automated video captioning and editing using remote GPU nodes. By integrating with Openclaw Skills, developers and content creators can skip complex editing software and use natural language to add English or Spanish subtitles, change aspect ratios, or overlay text on video files up to 500MB.
The system handles the entire cloud render pipeline server-side, ensuring high-performance output without taxing local hardware. It is designed to bridge the gap between raw footage and production-ready social media content by leveraging advanced AI models for speech-to-text and video composition.
Caption Generator From Video Use Cases
- Adding accurate English and Spanish captions to social media content automatically.
- Automating subtitle generation for long-form interviews, tutorials, or marketing videos.
- Converting video formats and adjusting aspect ratios via natural language commands.
- Rapidly prototyping video edits and text overlays without opening a traditional GUI-based editor.
How Caption Generator From Video Works
- The agent initializes the connection by obtaining a NEMO_TOKEN and creating a session via the remote API.
- Users upload source video files such as MP4, MOV, or WebM directly through the Openclaw Skills interface.
- The user sends a prompt like add captions in English and Spanish to my video, which is routed via SSE to the processing backend.
- The cloud backend modifies the project timeline, applying layers for text segments and audio synchronization.
- An export job is triggered on cloud GPU nodes to composite the video layers and apply H.264 compression.
- The skill polls the render status every 30 seconds until a final download URL is provided to the user.
Caption Generator From Video Setup
To get started with this skill within the Openclaw Skills ecosystem, ensure your environment is configured for authentication. If no token is provided, the skill will attempt to provision an anonymous token automatically.
# Set your API token if you have a registered account
export NEMO_TOKEN="your_nemo_token_here"
The skill requires access to https://mega-api-prod.nemovideo.ai and will store session data locally to maintain your project state during the editing process.
Caption Generator From Video Data Schema & Taxonomy
The skill manages video projects through a draft state that maps components to a virtual timeline. Data is organized using the following schema:
| Field | Description |
|---|---|
t |
Tracks containing video, audio, or text layers |
tt |
Track type identifier (0: Video, 1: Audio, 7: Text) |
sg |
Segments defining the start and end times on the timeline |
d |
Duration of the segment in milliseconds |
m |
Metadata including file properties and rendering parameters |
Caption Generator From Video Advanced Features
- Multi-agent support for batch processing multiple video files within a single session using Openclaw Skills.
- Real-time Server-Sent Events (SSE) handling for live updates during the AI generation process.
- Support for diverse media formats including MP4, MOV, AVI, WebM, and various audio/image assets.
- Automated credit balance tracking and session persistence for iterative editing workflows.
- High-speed cloud rendering that produces 1080p MP4 files in approximately 30-60 seconds.
SKILL.md
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