redis-gen

What This Skill Does

The redis-gen skill acts as an intelligent architect for your Redis database implementations. Redis is exceptionally fast, but improper key design, data structure selection, or neglect of memory management (TTLs) can lead to bloated instances and difficult-to-maintain code. This tool streamlines the schema design process by translating natural language descriptions of your data requirements into idiomatic Redis patterns. It automatically analyzes your specific use case—whether it be session management, real-time analytics, or complex leaderboards—and provides optimal key namespaces, recommended data structures (Hashes, Sorted Sets, Lists, etc.), TTL strategies for cache invalidation, and memory-efficient configuration advice. By utilizing this skill, developers avoid the common pitfall of performing full-key scans in production and instead adopt a scalable, documented architecture.

Installation

To integrate this skill into your environment, use the OpenClaw CLI package manager. Execute the following command in your terminal:

clawhub install openclaw/skills/skills/lxgicstudios/redis-gen

Ensure you have Node.js 18 or higher installed and that your OPENAI_API_KEY environment variable is configured, as the tool leverages LLM reasoning to generate the schema suggestions.

Use Cases

• Session Management: Designing secure, performant storage for user authentication tokens with automatic expiration.
• Rate Limiting: Building robust API throttling mechanisms per user or IP address.
• Real-Time Leaderboards: Configuring Sorted Sets to handle high-frequency score updates and efficient ranking queries.
• Presence Tracking: Implementing 'online' status indicators for chat applications using memory-optimized bitmaps or sets.
• Refactoring: Converting existing, disorganized key structures into a namespaced, production-ready schema.

Example Prompts

1. "Design a schema for a real-time gaming leaderboard that supports both weekly and all-time high scores for 1 million players."
2. "I need a Redis structure for an API rate limiter that restricts users to 100 requests per minute per endpoint. How should I handle the TTLs?"
3. "Recommend the best way to store ephemeral user session data including their profile summary and last activity timestamp to ensure memory efficiency."

Tips & Limitations

• Namespace Everything: Always use colon delimiters (e.g., app:module:id). The tool will generate these for you; stick to them strictly.
• Memory Awareness: While the tool provides guidance, remember that Hashes are more memory-efficient than many small strings. Avoid storing large JSON blobs in single string keys.
• No Persistent Storage: This tool designs schemas; it does not connect to your live database to perform migrations. Always test generated patterns in a staging environment.
• External Dependency: Since this tool uses an AI engine to reason about schema design, it requires an active internet connection and a valid OpenAI API key to process your requests.