A powerful AI-driven search tool that finds and extracts specific moments from video clips based on your natural language descriptions.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-google
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 video-google using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Video Google is a sophisticated skill designed for Openclaw Skills that leverages a cloud rendering pipeline and AI search to eliminate the need for manual video scrubbing. Users can upload video files and query them using natural language, such as asking to find a specific mention of a topic or a particular visual event. The skill processes these requests through a high-performance GPU-backed pipeline, returning timestamped, 1080p MP4 clips ready for immediate use.
Built specifically for high-velocity workflows, this tool is ideal for those who need to navigate long recordings—like lectures, meetings, or raw footage—to find specific content without touching a single slider. By integrating directly into your developer environment, it transforms how you interact with media assets, making video editing as simple as typing a search query.
To get started with Video Google, ensure your environment is configured. On the first interaction, the skill will handle most setup steps automatically.
# Set your API token as an environment variable
export NEMO_TOKEN="your_token_here"
# The skill will automatically attempt to connect
# and create a session on your first search request.
The skill manages video data and session states using a structured JSON schema for timelines and track management.
| Field | Description |
|---|---|
task_id |
Unique identifier for the current video processing task. |
session_id |
Persists the timeline state for iterative editing. |
draft |
JSON object containing tracks (t), track types (tt), and durations (d). |
video_infos |
Metadata regarding uploaded source files (dimensions, codec). |
generated_media |
References to the final rendered outputs and download links. |
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