Redis
Official@redis
High-performance in-memory data structures, vector search indexing, and enterprise-grade cluster management for scalable distributed systems.
Agent Skills by Redis
Showing 40 vetted skills indexed across 5 GitHub repositories.
dead-dependencies
Detect and safely remove unused npm dependencies using grep, leaf checks, and build verification.
i18n
Implements i18next internationalization conventions for RedisInsight UI translations and locale files.
docs-sync
Synchronize ioredis documentation with code changes across README, JSDoc, and examples.
runtime-behavior-probe
Plan and execute disposable TypeScript probes to verify actual ioredis runtime behavior.
maintainer-triage
Batch-triage node-redis pull requests and issues, then execute approved GitHub actions.
bump-test-image
Updates the default Redis docker test image tag and CI matrix, then opens a PR.
code-change-verification
Select and execute minimal Mocha tests, TSD checks, and build scripts for ioredis code changes.
test-coverage-improver
Run per-package nyc coverage runs and propose mocha tests for node-redis.
implement-command
Automate new Redis command implementation in the node-redis client library.
docs-sync
Cross-reference source code against documentation to identify missing or outdated content.
pr-draft-summary
Generate Conventional Commits-compliant PR titles and draft descriptions for node-redis changes.
maintainer-review
Assess demonstrated user need in node-redis GitHub issues and pull requests.
runtime-behavior-probe
Probe node-redis runtime behavior with disposable TypeScript scripts and validation matrices.
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.
commits
Generate commit messages following the Conventional Commits specification.
frontend
Standardize React and Redux frontend patterns for RedisInsight UI components.
Frequently Asked Questions About Redis
FAQPage SchemaWhat specific tasks can be performed using these Redis capabilities?▼
These capabilities enable the design of efficient data models, configuration of complex cluster topologies, implementation of vector search indexes for semantic retrieval, and the enforcement of security protocols including ACLs and TLS. Additionally, they support monitoring via diagnostic metrics and connection management.
Which personas benefit most from these technical resources?▼
Database administrators, backend engineers, and systems architects managing high-concurrency distributed environments benefit from these resources. They are specifically designed for developers building scalable caching layers, real-time search engines, or persistent memory stores for high-performance enterprise applications.
What are the primary prerequisites for implementing these Redis configurations?▼
Successful implementation requires an existing Redis deployment, familiarity with command-line interface operations, and a foundational understanding of data structure design. Users should also have access to the Redis Insight interface for observability and possess valid credentials for managing ACLs and network security policies.