Automate the Google Flow interface to generate professional AI videos from text prompts using the Veo model.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install google-flow
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install google-flow 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 Google Flow AI Video Generation Skill?
Google Flow is a powerful AI video generation tool that creates high-quality videos from text prompts using Google's advanced Veo model. This skill provides a structured framework for Openclaw Skills to interact with the labs.google/fx/tools/flow interface, streamlining the entire production cycle from project creation to final rendering.
By leveraging this skill, users can programmatically manage the Scenebuilder interface, configure model settings, and refine prompts through style presets. It is designed to bridge the gap between manual video creation and automated workflows, making it easier to scale video content production while maintaining precise control over cinematic parameters.
Google Flow AI Video Generation Skill Use Cases
- Generating cinematic AI videos from descriptive text prompts for marketing or social media.
- Automating the setup and organization of multiple video projects within the Google Flow dashboard.
- Configuring technical video parameters such as aspect ratio (9:16, 16:9, 1:1) and output quantity.
- Using style presets like Film Noir or Cinematic to ensure visual consistency across a video series.
- Programmatically managing video assets, including downloading and favoriting generated clips.
How Google Flow AI Video Generation Skill Works
- The agent navigates to the Google Flow home or project creation URL using Openclaw Skills.
- A new project is initialized or an existing project is selected from the project management card list.
- The skill enters the Scenebuilder interface to access generation controls.
- Text prompts are entered into the generation textbox, optionally using the Expand feature for style presets.
- Generation settings are configured, including model selection (e.g., Veo 3.1 - Fast) and aspect ratio.
- The generation process is triggered, and the agent monitors the credit cost and generation status.
- Generated video clips are retrieved from the asset panel for previewing, downloading, or further management.
Google Flow AI Video Generation Skill Setup
To use this skill, ensure you have an active Google account with access to Google Flow and a Chrome browser with the OpenClaw extension enabled. You must also have sufficient credits for video generation.
To begin a new project workflow via the CLI:
# Navigate to the project creation page
open https://labs.google/fx/tools/flow/project/new
Google Flow AI Video Generation Skill Data Schema & Taxonomy
The skill organizes data around projects, generation settings, and video assets. The following table describes the primary data points:
| Element | Description |
|---|---|
| Project Metadata | Name, Creation Date, and UUID-based URL mapping. |
| Generation Config | Model version (Veo 3.1), Aspect Ratio (Portrait, Landscape, Square), and Output Count. |
| Prompt Logic | Raw text prompts and applied style expanders (e.g., Cinematic, Action Figure). |
| Asset Information | Video thumbnails, search tags, and favorite status. |
| Credit Tracking | Real-time monitoring of cost per generation (e.g., 5 or 10 credits). |
Google Flow AI Video Generation Skill Advanced Features
- Batch Generation: Programmatically sequence multiple prompts to create a library of video assets in one session.
- Credit Optimization: Automatically adjust the number of outputs per prompt to minimize credit consumption during testing.
- Custom Style Expanders: Create and apply custom presets to maintain a unique brand identity across all generated content.
- Automated Project Organization: Use standardized naming conventions for projects to simplify long-term asset retrieval.
- Dialog Management: Built-in handling for closing settings overlays and managing interface state transitions.
SKILL.md
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