Language: 日本語English

redis-development Plugin

Author
Redis
Category
Database
Topics
Databases & Storage · Claude Code Customization & Workflow
First seen
2026-07-09
Last confirmed
2026-07-13
Explanation last updated
2026-07-12

The explanation below is AI-generated. Please verify it against the sources.

redis-development is a plugin that bundles a collection of "Agent Skills" for AI coding agents working with Redis, according to the README. It packages best-practice instructions covering data structures, key naming, connections, search/vector search, semantic caching, clustering, security, and observability, plus a skill for Iris (Redis Agent Memory). The skills follow the Agent Skills format (agentskills.io) and can be installed via the Agent Skills CLI, as a Claude Code plugin, or as a Cursor plugin. Each skill is structured with a required SKILL.md and optional references/scripts/assets folders. The project is released under the MIT license.

Overview

Not a SaaS itself; it is a skills/plugin package that extends AI coding agents with Redis-specific instructions and reference material, per the README.

What you can do with redis-development

  • Install the skill collection via npx skills add redis/agent-skills, as a Claude Code plugin (/plugin install redis-development@redis), or as a Cursor plugin
  • Get guidance on Redis data structures, key naming, memory/TTL, atomic primitives, JSON vs Hash, and Streams vs Pub/Sub (redis-core)
  • Get guidance on connection pooling, multiplexing, pipelining, client-side caching, timeouts, and slow commands (redis-connections)
  • Get guidance on FT.CREATE schemas, FT.SEARCH/FT.AGGREGATE/FT.HYBRID, vector similarity (HNSW/FLAT), hybrid retrieval, and RAG pipelines (redis-search)
  • Get guidance on LangCache-based semantic caching for LLM responses, including similarity threshold tuning (redis-semantic-cache)
  • Get guidance on clustering (hash tags, avoiding CROSSSLOT, reading from replicas), security (auth/TLS, ACLs, firewalling), and observability (INFO metrics, SLOWLOG, MEMORY DOCTOR, FT.PROFILE, Redis Insight)
  • Ask the agent natural-language requests such as "optimize this Redis query," "what data structure should I use for a leaderboard," or "review my Redis connection handling"

Sources

Original description (English)

Redis development best practices — data structures, query engine, vector search, caching, and performance optimization

History of redis-development

Back to list