redis
Redis best practices including data modeling, caching patterns, and performance optimization.
Best use case
redis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Redis best practices including data modeling, caching patterns, and performance optimization.
Teams using redis should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/redis/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How redis Compares
| Feature / Agent | redis | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Redis best practices including data modeling, caching patterns, and performance optimization.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Redis Best Practices ## Data Modeling - Use appropriate data structures - Use meaningful key names - Implement key expiration - Use hashes for objects - Use sorted sets for leaderboards ## Caching Patterns - Cache-aside (lazy loading) - Write-through for consistency - Write-behind for performance - Set appropriate TTLs - Handle cache misses gracefully ## Performance - Pipeline commands - Use Lua scripts for atomic ops - Avoid large keys/values - Use SCAN instead of KEYS - Monitor memory usage ## Reliability - Enable persistence (RDB+AOF) - Use Redis Cluster for HA - Implement proper error handling - Set maxmemory policy - Monitor with RedisInsight ## Security - Enable authentication - Use TLS encryption - Bind to specific interfaces - Rename dangerous commands - Limit client connections
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