redis/redis-development
VerifiedSkills collection that equips AI agents with Redis expertise.
What is redis/redis-development?
Redis Agent Skills is an open-source repository that packages practical guidance for AI coding agents working with Redis. It follows the Agent Skills specification and organizes content into separate modules that address distinct areas such as data modeling, query optimization, vector search, and production concerns.
Each skill contains a core instruction file plus optional references and scripts. When installed, the skills become available to compatible agents that automatically apply them during relevant tasks like query writing or connection tuning.
The collection targets developers and teams that use AI agents for Redis-related coding, debugging, or architecture work and want consistent, up-to-date guidance without manual prompting.
What you can build with redis/redis-development
Query optimization
An agent reviews an existing Redis query and suggests improvements using the query-engine and vector-search skills.
Data structure selection
The agent recommends appropriate Redis data structures and key-naming patterns for a new leaderboard feature.
Connection review
An agent audits connection pooling, pipelining, and timeout settings in application code using the connections skill.
Install redis/redis-development
npx skills add redis/agent-skillsnpx skills add redis/agent-skills- 1Run the Agent Skills CLI command to add the package.
- 2Alternatively install via the Claude Code plugin marketplace.
- 3For Cursor, invoke the add-plugin command inside the chat.
- 4Confirm installation; the agent will load skills automatically on relevant prompts.
- 5Test by asking the agent to optimize a Redis query or choose a data structure.
redis/redis-development: pros & cons
Pros
- +Broad coverage of Redis topics from basics to clustering and observability
- +Follows a standard skill format that works across supported agents
- +Includes both quick instructions and deeper reference material
- +Open source under MIT license with clear contribution guidelines
Cons
- –Requires an agent runtime that supports the Agent Skills format
- –Some advanced modules depend on specific Redis modules or tools
- –Plugin installation steps differ by editor or agent platform
Frequently asked questions
Any agent that follows the published Agent Skills specification can load the modules after installation.
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