Agent Skills by redis

Redis Agent Skills

A collection of skills for AI coding agents working with Redis. Skills are packaged instructions and resources that extend agent capabilities.

Skills follow the Agent Skills format.

Available Skills

Skill	Description
redis-core	Data structures, key naming, memory and TTL, atomic primitives, JSON vs Hash, Streams vs Pub/Sub.
redis-connections	Pooling, multiplexing, pipelining, client-side caching, timeouts, slow commands.
redis-search	FT.CREATE schema, FT.SEARCH / FT.AGGREGATE / FT.HYBRID, DIALECT 2, vector similarity (HNSW / FLAT), hybrid retrieval, RAG pipelines, zero-downtime index updates.
redis-semantic-cache	LangCache — cache-aside flow for LLM responses, similarity threshold tuning, per-task cache separation.
redis-clustering	Hash tags for multi-key operations, avoiding CROSSSLOT, reading from replicas.
redis-security	Authentication and TLS, ACL-based least privilege, network bind, firewall, command renaming.
redis-observability	Key metrics (INFO), debugging commands (SLOWLOG, MEMORY DOCTOR, FT.PROFILE), Redis Insight.
redis-docs-mcp	Reading what the bundled redis.io docs MCP server returns: section-scoped ids, metadata.version, corpus coverage, ask rate limits.
add-redis-iris	Redis Iris: detect the agent's framework and route to the right Iris product skill. Start here.
add-agent-memory	Redis Iris Agent Memory: provision with the iris CLI, wire recall and write-back so the agent remembers users across sessions.
add-agent-playbooks	Redis Iris Agent Playbooks: publish procedures (Skills) and approved answers (FAQs), answer from published content only.
add-context-gateway	Redis Iris Context Gateway: put the agent's MCP servers behind one endpoint and one key, with tool caching and result handles.
add-intent-router	Redis Iris Intent Router: replace hand-written routing with example phrasings and a score threshold.
add-lens	Redis Iris Lens: trace every agent turn (LLM calls, tokens, tools, retrievals) in the Lens UI.

Installation

Agent Skills CLI

npx skills add redis/agent-skills

Claude Code Plugin

You can also install the skills as a Claude Code plugin:

/plugin install redis-development@claude-plugins-official

ChatGPT and Codex Plugin

The distributable plugin package for ChatGPT and Codex lives at plugins/redis-development/. It includes the required .codex-plugin/plugin.json manifest and real copies of every skill. Archive that directory—not the repository root—when preparing a submission to the OpenAI plugin submission portal. The archive includes the shared .mcp.json, so it carries the Redis Docs MCP server as well as the skills.

Cursor Plugin

This repository also includes Cursor plugin packaging. Run this command in chat:

/add-plugin redis

The top-level skills/ directory remains the source of truth. plugins/redis-development/skills/ holds generated real copies used by the ChatGPT, Codex, and Claude Code plugin package (not symlinks, which plugin installation flows may drop); npm run sync:plugins regenerates them and the pre-commit hook keeps them current. See AGENTS.md.

Redis Docs MCP server

The Claude Code, ChatGPT and Codex, and Cursor plugins bundle the official Redis documentation MCP server at https://redis.io/mcp, so an agent can look up authoritative docs instead of relying on stale training data. It needs no credentials, no local Redis, and no configuration — a public, read-only, hosted endpoint that connects automatically once the plugin is enabled.

Three read-only tools: search (query the docs index), fetch (retrieve a page or a section by its id), and ask (a grounded answer with citations).

Each tool call sends the agent's query text to redis.io. If that conflicts with your data policy, disable the redis-docs server in your client's MCP settings (in Claude Code, /mcp).

Channel	Carries the MCP server?
Claude Code plugin	Yes
ChatGPT / Codex plugin	Yes
Cursor plugin	Yes
Agent Skills CLI (npx skills add)	No — the Agent Skills format has no MCP component

All three manifests point at one shared plugins/redis-development/.mcp.json. To add the server to Claude Code without the plugin:

claude mcp add --transport http redis-docs https://redis.io/mcp

Usage

Skills are automatically available once installed. The agent will use them when relevant tasks are detected.

Examples:

Help me optimize this Redis query

What data structure should I use for a leaderboard?

Review my Redis connection handling

Skill Structure

Each skill follows the agentskills.io specification:

• SKILL.md - Instructions for the agent (required)
• references/ - Long-form content loaded on demand (optional)
• scripts/ - Helper scripts (optional)
• assets/ - Static resources (optional)

See AGENTS.md for the full layout, conventions, and the "Adding a New Skill" walkthrough.

License

MIT