A powerful browser automation tool for Openclaw Skills that categorizes unstructured long videos through automated tagging and batch processing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install video-classifier
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 video-classifier 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 Classifier?
The Video Classifier is a specialized browser automation tool designed for Openclaw Skills to handle high-volume video categorization workflows. It interacts directly with management backends to transform unstructured long video data into organized, tagged assets. By utilizing Chrome CDP, this skill eliminates manual data entry, allowing users to efficiently batch-process video content based on specific identifiers or labels.
This skill is particularly effective for teams managing large media repositories who need a consistent and reliable way to apply metadata. It ensures that videos are correctly filtered, tagged, and moved into the appropriate structural hierarchy without human intervention, leveraging the robust capabilities of Openclaw Skills for seamless media workflow automation.
Video Classifier Use Cases
- Automating the classification of raw, unstructured video uploads into structured folders.
- Batch tagging long video content with specific labels for improved searchability.
- Executing daily categorization targets to maintain organized media databases.
- Filtering and organizing large video datasets by date, type, and specific metadata.
How Video Classifier Works
- The skill initiates by navigating to the designated video management backend URL.
- It interacts with the sidebar menu to access the specific video management and short video modules.
- Advanced filters are applied to isolate unstructured long videos within a specific date range and matching existing labels.
- The agent performs a bulk selection of all matching video entries currently visible.
- Finally, it executes the Add to Structure command, applies the target tag, and confirms the batch update automatically.
Video Classifier Setup
To deploy this skill within Openclaw Skills, ensure Python 3 is installed and your browser is configured for CDP debugging. Use the following command to integrate:
# Ensure you are logged into the backend before execution
# The skill requires a running Chrome instance with CDP enabled
openclaw install video-classifier
Video Classifier Data Schema & Taxonomy
The skill organizes data within the backend repository based on the following attributes:
| Attribute | Description |
|---|---|
| Content Type | Filtered for Long Video |
| Structure | Transitions videos from Unstructured to a Tagged Structure |
| Tags | User-defined labels (e.g., Wolf, Lion, Tiger, Aquatic) |
| Timeframe | Standard filter range set from 2023-01-10 to the current date |
Video Classifier Advanced Features
- Supports batch processing of 50-100 videos per cycle to ensure high reliability within Openclaw Skills.
- Automated screenshot capture at critical workflow steps for verification and process auditing.
- Precise filter controls including date ranges and specific content types for granular organization.
- Integrated CDP debugging support for stable and resilient browser-based interactions.
SKILL.md
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