redisOfficial·9 Agent Skills Included

agent-skills

Redis data modeling, search, caching, security, and clustering guidance

Guides coding agents through Redis data structure selection, key naming, connection pooling, pipelining, and client-side caching. Covers search index design, vector and hybrid queries, semantic LLM caching, cluster hash tags, security hardening, and performance monitoring. Eliminates common production mistakes like CROSSSLOT errors, blocking commands, unauthenticated instances, and slow full-keyspace scans.

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npx skills add redis/agent-skills --all -g -y

Available:

Tells the coding agent what each Redis skill covers, where skills and reference files live, and how to load SKILL.md instructions and on-demand references when handling Redis tasks.

All Skills in This Repository (9)

Pure Emerald Level Indicators

📦 In Repo

redis

redis-connections

Guide Redis client connection pooling, multiplexing, pipelining, and timeouts.

redis-semantic-cache

Cache semantically similar LLM prompts and responses using LangCache on Redis Cloud.

redis-security

Secure Redis deployments with authentication, ACLs, TLS, and network hardening.

redis-observability

Guide Redis monitoring with INFO metrics, diagnostic commands, and Redis Insight.

redis-vector-search

Configure Redis vector indexes with HNSW or FLAT for RAG workflows.

redis-core

Design efficient Redis data models with proper types and colon-separated naming conventions.

redis-query-engine

Design and optimize Redis Search indexes with FT.CREATE schemas and queries.

redis-clustering

Guide Redis cluster design with hash-tagging and replica read routing.

iris-development

Promote transient session events into durable, searchable long-term memories.

Official

Advanced

Frequently Asked Questions

FAQPage Schema

How to install Redis Agent Skills?▼

Run `npx skills add redis/agent-skills --all -g -y` in your terminal to install all eight Redis skills globally.

What Redis problems do these skills solve?▼

They cover data structure choice, key naming, connection pooling, pipelining, search and vector queries, semantic caching, clustering, security hardening, and performance monitoring.

Can these skills help fix Redis CROSSSLOT errors?▼

Yes. The redis-clustering skill explains hash tags so multi-key operations, transactions, and pipelines target the same cluster slot.

Do these skills work with Claude Code and Cursor?▼

Yes. All skills follow the agentskills.io standard and ship as plugins for Claude Code, Cursor, ChatGPT, and Codex.

Can the skills help build a RAG pipeline on Redis?▼

Yes. The redis-search skill covers vector indexes, HNSW tuning, hybrid lexical-vector queries, and retrieval patterns for RAG.