Plugin redis-development
Redis development best practices — data structures, Redis Search (lexical + vector + hybrid retrieval), caching, and performance optimization, plus Redis Iris (Agent Memory, Agent Playbooks, Context Gateway, Intent Router, Lens), and live lookup of the official redis.io documentation.
Como instalar o plugin redis-development
Execute os dois comandos dentro do Claude Code. O primeiro adiciona o marketplace uma vez; o segundo instala o plugin.
/plugin marketplace add redis/agent-skills
/plugin install redis-development@redisO que há dentro de redis-development
15 partes lidas dos próprios arquivos do plugin.
Skills 14
Claude o carrega quando a tarefa coincide- add-agent-memory
Integrates long-term user memory into AI agents using redis-iris to enable cross-session recall and data retention.
- add-agent-playbooks
Integrate Redis Iris Agent Playbooks into existing Python agents to manage approved answers, repeatable procedures, and semantic response caches.
- add-context-gateway
Consolidates multiple MCP servers into a single endpoint with one agent key, providing tool caching, compression, and namespacing.
- add-intent-router
Replaces manual agent routing logic with semantic intent detection using example phrasings and score thresholds via the redis-iris SDK.
- add-lens
Adds per-turn observability to AI agents, capturing LLM calls, tokens, tool usage, and document retrievals in the Lens UI.
- add-redis-iris
Integrates Redis Iris products like Agent Memory, Playbooks, and Context Gateway into existing AI agent frameworks.
- redis-clustering
Provides guidance on designing keys with hash tags to avoid CROSSSLOT errors and configuring read replicas to scale read-heavy workloads.
- redis-connections
Provides guidance on optimizing Redis client connections through pooling, multiplexing, pipelining, client-side caching, and command selection.
- redis-core
Provides guidance on selecting optimal Redis data structures and implementing consistent colon-separated key naming conventions.
- redis-docs-mcp
Helps agents navigate, search, and interpret results from the Redis documentation MCP server.
- redis-observability
Provides guidance on monitoring Redis metrics, using built-in diagnostic commands, and utilizing Redis Insight for performance troubleshooting.
- redis-search
Provides guidance on designing search indexes, writing complex queries, implementing vector similarity search, and building RAG pipelines.
- redis-security
Provides guidance on hardening Redis production environments through authentication, ACL-based access control, TLS configuration, and network restriction.
- redis-semantic-cache
Implements semantic caching for LLM responses using Redis Cloud to reduce API costs and latency by storing and retrieving prompt embeddings.
MCP servers 1
Inicia com o plugin- mcp
Sem descrição no arquivo.
Usando redis-development no Claude Code
Skills não precisam de comando. Claude as lê quando sua solicitação corresponde ao que elas descrevem.
Atualizar, desligar ou remover
- Atualizar o plugin (shell)
- claude plugin update redis-development@redis
- Atualizar o marketplace
- /plugin marketplace update redis
- Desligar por enquanto
- /plugin disable redis-development@redis
- Remover
- /plugin uninstall redis-development@redis
Skills em redis-development
Integrate Redis Iris Agent Playbooks into existing Python agents to manage approved answers, repeatable procedures, and semantic response caches.
7 arquivos175estrelasProvides guidance on designing keys with hash tags to avoid CROSSSLOT errors and configuring read replicas to scale read-heavy workloads.
3 arquivos175estrelasProvides guidance on optimizing Redis client connections through pooling, multiplexing, pipelining, client-side caching, and command selection.
6 arquivos175estrelasProvides guidance on selecting optimal Redis data structures and implementing consistent colon-separated key naming conventions.
3 arquivos175estrelasProvides guidance on monitoring Redis metrics, using built-in diagnostic commands, and utilizing Redis Insight for performance troubleshooting.
3 arquivos175estrelasProvides guidance on designing search indexes, writing complex queries, implementing vector similarity search, and building RAG pipelines.
23 arquivos175estrelasProvides guidance on hardening Redis production environments through authentication, ACL-based access control, TLS configuration, and network restriction.
4 arquivos175estrelasImplements semantic caching for LLM responses using Redis Cloud to reduce API costs and latency by storing and retrieving prompt embeddings.
3 arquivos175estrelasIntegrates long-term user memory into AI agents using redis-iris to enable cross-session recall and data retention.
175estrelasConsolidates multiple MCP servers into a single endpoint with one agent key, providing tool caching, compression, and namespacing.
175estrelasReplaces manual agent routing logic with semantic intent detection using example phrasings and score thresholds via the redis-iris SDK.
175estrelasAdds per-turn observability to AI agents, capturing LLM calls, tokens, tool usage, and document retrievals in the Lens UI.
175estrelasIntegrates Redis Iris products like Agent Memory, Playbooks, and Context Gateway into existing AI agent frameworks.
175estrelasHelps agents navigate, search, and interpret results from the Redis documentation MCP server.
175estrelas
Perguntas sobre o plugin redis-development
Como instalo o plugin redis-development?
No Claude Code, execute /plugin marketplace add redis/agent-skills e depois /plugin install redis-development@redis.
O que o plugin redis-development inclui?
redis-development agrupa 14 skills, MCP servers.
Como eu atualizo ou removo o plugin redis-development?
Atualize-o com claude plugin update redis-development@redis no seu shell, ou pela aba Instalados de /plugin. Remova-o com /plugin uninstall redis-development@redis.