Agent Skills for Redis development. Skills are organized folders of instructions and resources that agents discover and load dynamically.
Skills follow the Agent Skills format.
Redis performance optimization guidelines containing 54 rules across 10 categories, prioritized by impact.
Use when:
- Writing new code that interacts with Redis
- Choosing data structures or designing key schemas
- Reviewing code for performance issues
- Optimizing memory usage or persistence configuration
- Implementing AI/LLM features (RAG, Vector Search, Semantic Cache)
- Using Redis Modules (JSON, Search, TimeSeries, Bloom)
Categories covered:
- Data Structures (Critical)
- Key Design (Critical)
- Connection Management (High)
- Commands & Patterns (High)
- Redis Modules (High)
- Redis for AI (High)
- Memory Management (Medium-High)
- Persistence (Medium)
- Clustering & High Availability (Medium)
- Performance & Monitoring (Low-Medium)
npx add-skill redis/redis-agent-kitOnce installed, agents load the skill automatically when your task is relevant.
Examples:
Review my Redis caching implementation
Help me choose the right data structure for a leaderboard
Optimize this Redis connection code
Implement semantic caching for my LLM app
Each skill contains:
SKILL.md- Instructions for the agent (triggers activation)AGENTS.md- Compiled rules (what agents read)rules/- Individual rule filesmetadata.json- Version and metadata
Compatible with any tool supporting the Agent Skills standard: Claude Code, GitHub Copilot, Gemini CLI, and more.
MIT