Awesome-omni-skill redis

Redis best practices including data modeling, caching patterns, and performance optimization.

install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/backend/redis" ~/.claude/skills/diegosouzapw-awesome-omni-skill-redis && rm -rf "$T"
manifest: skills/backend/redis/SKILL.md
source content

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