A cloud-powered video processing tool that automatically generates and syncs professional captions for social media content.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install best-auto-caption
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 best-auto-caption using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Best Auto Caption is a specialized tool designed for creators who need fast, accurate subtitle generation without taxing their local hardware. By utilizing Openclaw Skills, this agent connects to high-performance cloud GPU nodes to handle complex video rendering and audio-to-text synchronization. It is specifically optimized for short-form content like TikToks and Reels, as well as long-form YouTube tutorials, providing a seamless bridge between raw footage and captioned, ready-to-publish media.
This skill eliminates the manual labor of timing subtitles by using advanced intent classification and automated timeline mapping. Whether you are a content marketer or a developer advocate, using this within the ecosystem of Openclaw Skills ensures a streamlined workflow for video post-production, supporting files up to 500MB and delivering 1080p exports in less than a minute.
To begin using this skill, ensure you have your environment variables configured. Openclaw Skills will look for a primary environment token to authenticate requests.
# Set your API token
export NEMO_TOKEN="your_nemo_token_here"
# The skill also utilizes configuration files stored at:
# ~/.config/nemovideo/
If no token is provided, the skill will automatically attempt to generate a UUID and fetch a free starter token via the anonymous auth endpoint.
The skill organizes its data using a structured session model that tracks the timeline and media assets. This is essential for maintaining consistency across Openclaw Skills operations.
| Key | Description |
|---|---|
| session_id | Unique identifier for the current editing project |
| task_id | The specific task associated with the render pipeline |
| draft | The JSON representation of the timeline, including tracks (t) and segments (sg) |
| track_type | Mapping for assets: 0 for Video, 1 for Audio, 7 for Text |
| credits | Real-time balance of available processing units |
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