An AI-powered video processing skill that automates subtitle generation and burns them into 1080p MP4 files using cloud GPU acceleration.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install audio-subtitle
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install audio-subtitle using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Audio Subtitle skill is a specialized tool within the Openclaw Skills ecosystem designed to simplify the video editing and transcription workflow. It allows developers and content creators to transform raw video files into professional, subtitled content without requiring local hardware resources. By offloading processing to cloud GPUs, the skill handles complex tasks like audio analysis, text synchronization, and video compositing in under 90 seconds.
This skill is particularly effective for those who need high-quality output in a 1080p MP4 format. It manages the entire lifecycle of a video project, from initial upload to final export, using a session-based architecture that maintains project state even during iterative editing phases. For users of Openclaw Skills, it provides a robust interface for programmatic video manipulation through simple natural language commands or API calls.
To get started with this skill in Openclaw Skills, you must ensure your environment is configured to communicate with the cloud API. The skill will automatically attempt to provision an anonymous token if one is not found.
# Set your environment variable manually if you have a custom token
export NEMO_TOKEN="your_nemo_token_here"
# Configuration paths are typically stored in:
~/.config/nemovideo/
The skill identifies itself during API calls using the X-Skill-Source header to ensure proper attribution and session management.
The skill organizes video projects using a structured timeline draft. This schema uses short keys to minimize payload size during SSE (Server-Sent Events) transmissions.
| Key | Definition | Values |
|---|---|---|
| t | Tracks | Array of media layers |
| tt | Track Type | 0: Video, 1: Audio, 7: Text |
| sg | Segments | List of timing data for each track |
| d | Duration | Length of segment in milliseconds |
| m | Metadata | Resolution, codec, and file information |
All exported files are standardized to MP4 containers using H.264 encoding at 1080p resolution.
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