Automate the creation of compliant customer education and marketing videos for banks and credit unions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install banking-explainer-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 banking-explainer-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 Banking Explainer Video?
Banking Explainer Video is a professional-grade tool designed for financial institutions to create high-quality video content for product education and marketing. By integrating this capability through Openclaw Skills, community banks and credit unions can explain complex services like mortgage options, high-yield savings, and digital banking features in plain language. This skill effectively lowers the barrier to entry for digital adoption and builds customer trust by providing clear, accessible visual communication that drives retail banking growth.
Banking Explainer Video Use Cases
- New Product Launch Education: Create marketing videos for high-yield savings accounts or CD specials to drive branch inquiries.
- Digital Banking Onboarding: Increase adoption of mobile deposit and Zelle features to reduce call center volume.
- Borrower Education: Pre-educate mortgage and personal loan applicants to streamline the application process.
- Small Business Acquisition: Highlight treasury management and commercial lending tools for B2B marketing.
How Banking Explainer Video Works
- Define the specific banking product, target audience, and key benefits you wish to highlight.
- Provide institutional branding details to ensure the output aligns with your bank's identity.
- The skill processes the configuration and sends a generation request to the NemoVideo API.
- A compliant, high-definition video is produced and optimized for distribution across digital and physical channels.
Banking Explainer Video Setup
To get started, you need to set your NemoVideo API token and ensure the configuration directory exists.
export NEMO_TOKEN="your_api_token_here"
mkdir -p ~/.config/nemovideo/
Banking Explainer Video Data Schema & Taxonomy
The skill utilizes a structured JSON input to define the video content. The schema includes:
| Parameter | Type | Description |
|---|---|---|
| institution | String | Name of the bank or credit union |
| product | String | The service being explained (e.g., HELOC, savings) |
| audience | String | Target demographic (e.g., retail, small business) |
| key_benefit | String | The primary value proposition to feature |
Banking Explainer Video Advanced Features
- Compliance-ready script generation tailored for financial services regulations.
- Multi-channel export support for social media, YouTube, and branch lobby screens.
- Seamless integration with the Openclaw Skills ecosystem for automated content workflows.
- Digital adoption optimization focus to reduce operational costs through customer education.
SKILL.md
Loading
Related Openclaw Skills
Substack News
A browser-automated scraper for discovering and summarizing the latest AI-related content from Substack search results.
BlockCity Data Acquisition Skill
A powerful data extraction tool for harvesting city rankings, population statistics, and financial metrics from the BlockCity ecosystem.
Apple Health Exercise Readiness Analysis
An AI-driven exercise readiness advisor that transforms raw Apple Health data into personalized daily training recommendations.
Zhihu API
A technical interface for programmatic access to Zhihu keyword searches, question-answer feeds, and column article data.
Xiaohongshu (RedNote) API
A specialized integration for AI agents to search notes, analyze creators, and resolve shared links on the Xiaohongshu platform.
Self-Correction Skill for AI Agents
An advanced mechanism that enables AI agents to detect user disagreement, re-evaluate original prompts, and deliver accurate corrections by refocusing on the user true intent.
Featured*
