Video Google for Openclaw

A powerful AI-driven search tool that finds and extracts specific moments from video clips based on your natural language descriptions.

mhogan2013-9
v1.0.0
Apr 30, 2026
0
287
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install video-google

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Video Google?

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.

Video Google Use Cases

  • Finding specific quotes or mentions of keywords (e.g., quarterly revenue) in long meeting recordings.
  • Identifying and extracting key segments from academic lectures for research or study aids.
  • Creating quick social media clips from raw footage by searching for specific actions or topics.
  • Batch processing multiple video uploads to generate various cut-downs based on different instructions.

How Video Google Works

  1. The user uploads a video file (up to 500MB) or provides a URL to the Openclaw Skills interface.
  2. An automated setup routine connects to the Nemo Video API, generating a session and securing an authentication token.
  3. The user submits a natural language search query describing the moment they want to find.
  4. The request is sent via a Server-Sent Events (SSE) stream to a cloud GPU node that analyzes the video content.
  5. The cloud pipeline composites the identified layers and renders a 1080p MP4 using H.264 compression.
  6. The skill polls the render status every 30 seconds until completion and provides a direct download URL to the user.

Video Google Setup

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.

Video Google Data Schema & Taxonomy

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.

Video Google Advanced Features

  • Multi-track timeline management supporting video, audio, and text overlays.
  • Iterative editing within a single session, allowing for refinement of search results without re-uploading.
  • Support for batch uploads and sequential processing of multiple files.
  • Automatic conversion of GUI-style instructions into API-driven edit commands.

SKILL.md


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