A powerful AI skill that transforms raw audio files into fully captioned, high-definition videos using server-side GPU rendering.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install subtitle-generator-from-audio
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 subtitle-generator-from-audio using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Subtitle Generator From Audio is an advanced integration for Openclaw Skills designed to eliminate the complexity of manual video editing and transcription. By leveraging remote GPU nodes, this skill allows users to upload audio files in formats like MP3, WAV, or M4A and receive professionally captioned MP4 videos in under a minute. It is specifically engineered for creators who need rapid, accurate results without installing heavy software.
The skill handles the entire lifecycle of video production, from initial speech-to-text processing to final compositing and H.264 compression. It utilizes a cloud-based render pipeline that ensures high-quality 1080p output while maintaining a lightweight footprint on the user's local machine.
To start using this skill with Openclaw Skills, ensure your environment is configured:
# The skill will automatically attempt to generate a token if NEMO_TOKEN is missing.
# To manually set your environment variable:
export NEMO_TOKEN="your_token_here"
# Supported formats include:
# mp3, wav, m4a, aac, mp4, mov, avi, webm
The skill manages data through a structured session state including draft timelines and generated media metadata:
| Key | Description | Type |
|---|---|---|
task_id |
Unique identifier for the current project | String |
session_id |
Active session tracker for timeline persistence | UUID |
draft |
JSON object containing tracks (t) and track types (tt) | Object |
tt: 7 |
Metadata classification for text/subtitle tracks | Integer |
d |
Duration of segments in milliseconds | Integer |
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