Automate the search, selection, and localized downloading of film and commercial video references from frameset.app.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install find-reference-video
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 find-reference-video 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 Find Reference Video?
The Find Reference Video skill is a specialized automation tool designed for creative professionals who need to source high-quality visual references. By integrating with the Openclaw Skills ecosystem, it streamlines the process of searching frameset.app, allowing users to find specific commercial or cinematic clips based on keywords. The skill handles the complex UI interactions of the platform, including hover-based link extraction and source URL retrieval from external hosts like YouTube and Vimeo.
This skill is particularly valuable for building mood boards or creative treatments where specific visual styles need to be archived locally. It replaces manual searching and the tedious task of finding original source links with a guided, automated workflow that ensures high-quality asset acquisition while respecting bandwidth through intelligent batch limits.
Find Reference Video Use Cases
- Sourcing specific advertising or film segments for creative references.
- Automated extraction of original YouTube and Vimeo source links from curated collections.
- Batch downloading high-quality reference clips for offline project mood boards.
- Visual verification of search results through automated screenshot previews.
How Find Reference Video Works
- Executes a direct search on frameset.app using structured keyword queries.
- Generates a screenshot of the search results for the user to confirm the desired visual assets.
- Processes user-selected indices and performs hover actions over images to reveal collection URLs.
- Navigates to individual collection pages to extract the underlying 'Watch' or 'Open in' links for YouTube and Vimeo.
- Compiles a detailed Markdown table summarizing the findings for the user.
- Triggers a localized download process for selected videos using yt-dlp based on user confirmation.
Find Reference Video Setup
To utilize this skill within the Openclaw Skills framework, ensure your environment has the necessary video extraction tools installed.
# Install the required video downloader
pip install yt-dlp
# Ensure browser automation dependencies are available for hover actions
Find Reference Video Data Schema & Taxonomy
The skill organizes found references into a structured format for easy review and record-keeping:
| Attribute | Description |
|---|---|
| Index | Numerical ID used for selection and batch processing |
| Collection Name | The descriptive title of the reference clip |
| Collection Link | Direct URL to the frameset.app reference page |
| Original Video Link | Direct source URL (YouTube, Vimeo, etc.) for high-quality access |
All downloaded files are saved to the system's default Downloads directory with a structured naming convention: [VideoName].[extension].
Find Reference Video Advanced Features
- Intelligent Batch Control: Automatically requests confirmation when more than 10 items are selected and enforces a 15-item safety cap.
- Visual Selection Workflow: Uses automated screenshots to allow users to verify visual style before processing metadata.
- Filter Logic: Automatically bypasses low-quality GIF or motion-optimized files to ensure high-resolution video references.
- Dynamic UI Interaction: Employs hover-state detection to extract hidden links that are not accessible via standard link scraping.
SKILL.md
Loading
Related Openclaw Skills
AI Twitter Digest
An automated monitoring tool that fetches, summarizes, and delivers daily AI and tech insights from Twitter to Discord or other messaging platforms.
AI News Feed
A real-time AI and ML news aggregator that provides LLM-enriched summaries and importance scores from over 57 curated industry sources.
Oura Ring Data Integration
A powerful health data bridge that synchronizes Oura Ring biometrics into local, searchable Markdown files.
Readme Generator
A framework-aware AI skill that analyzes project structures to generate production-quality README.md files automatically.
Ads Update
An automated monitoring tool that tracks specific YouTube and Vimeo channels for new video releases and generates detailed performance reports.
Matching Engine
A centralized intelligence hub that orchestrates autonomous relationship matching between individual user agents in a privacy-preserving manner.
Featured*
