A comprehensive tool for creating optimized, high-performance QR codes tailored for various scan distances and environments.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install qr
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 qr 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 QR Code Generator & Optimizer?
The QR skill is a specialized utility designed to streamline the creation and deployment of scannable QR codes within Openclaw Skills environments. It focuses on technical precision, ensuring that generated codes—whether for URLs, vCards, or WiFi credentials—adhere to professional standards for readability, contrast, and data density.
By providing specific guidelines for error correction and sizing formulas, this skill eliminates common failures in both print and digital media. It empowers developers and marketers to generate assets that scan reliably across multiple devices and lighting conditions, moving beyond simple generation into technical optimization.
QR Code Generator & Optimizer Use Cases
- Creating professional vCards and digital contact cards for networking events.
- Generating WiFi access codes for seamless guest connectivity in office or retail spaces.
- Designing physical marketing collateral like posters, billboards, and table tents using specific scan distance formulas.
- Deploying dynamic URLs that require tracking and redirection without increasing module density.
- Optimizing QR codes for harsh scanning environments using high error correction levels to maintain functionality despite physical damage.
How QR Code Generator & Optimizer Works
- Select the appropriate data type such as URL, vCard, WiFi, SMS, or Geo-location based on the specific business need.
- Shorten long dynamic URLs to ensure the QR modules remain large and easily readable by camera sensors.
- Determine the required error correction level (L, M, Q, or H) based on whether the code will include a logo or be placed in a high-wear environment.
- Calculate the required physical dimensions of the QR code using the scan distance formula (QR size = distance ÷ 10).
- Apply high-contrast color rules, ensuring a minimum of 70% contrast with dark modules on a light background.
- Run the final output through a multi-device testing checklist to verify performance on iOS and Android before deployment.
QR Code Generator & Optimizer Setup
To integrate this skill into your workflow, ensure your environment is configured to handle the Openclaw Skills standard. Access the core functionality via your preferred AI agent interface.
# Initialize the QR skill configuration within your environment
openclaw install qr-optimizer
Refer to the internal types and deployment guides to customize the generation parameters for specific hardware or print requirements.
QR Code Generator & Optimizer Data Schema & Taxonomy
The QR skill organizes its logic through a structured set of guidelines and reference files, ensuring data integrity across different formats. It uses a specific taxonomy for error correction and sizing:
| Level | Recovery % | Ideal Usage Context |
|---|---|---|
| L | 7% | Clean digital displays or small labels |
| M | 15% | Standard marketing materials (Default) |
| Q | 25% | Visual designs containing embedded logos |
| H | 30% | Outdoor billboards and harsh conditions |
Associated Reference Files:
- types.md: Detailed schema for WiFi, vCard, and SMS data structures.
- deployment.md: Best practices for enterprise-level deployment and tracking.
QR Code Generator & Optimizer Advanced Features
- Automated scan distance calculation logic for large-scale outdoor advertising like billboards.
- Advanced error correction management for embedding brand logos without breaking scan integrity.
- Data density optimization through integrated URL shortening and module reduction.
- Support for specialized data types including geo-coordinates for travel and transit applications.
- Cross-platform validation protocols to ensure compatibility with legacy and modern mobile scanners within the Openclaw Skills ecosystem.
SKILL.md
Loading
Related Openclaw Skills
Qdrant
A comprehensive guide for building and optimizing vector similarity search, semantic discovery, and recommendation engines with Qdrant.
PyTorch
A comprehensive guide and toolset for avoiding common PyTorch pitfalls in deep learning workflows.
Puppeteer
A powerful browser automation skill for controlling Chrome and Chromium to perform web scraping, end-to-end testing, and automated workflows.
Pull Request Skill
A professional quality-control skill for Openclaw Skills designed to generate, validate, and manage high-quality pull requests that maintainers love.
Question Skill
A sophisticated inquiry engine designed to refine questioning techniques through Socratic methodology and bias mitigation.
Quiz Agent Skill
A comprehensive framework for designing engaging, logically sound quizzes and professional assessments for any context.
Featured*
