skilld
All skills
redis avatar

redis/agent-skills

Redis' official collection of agent skills

main Updated 3 weeks agoGitHub
README badge for redis/agent-skills

Repository statistics

  • Indexed skills

    8

  • Skill groups

    1

  • GitHub stars

    163

  • Forks

    30

Skills

8 total

/redis-search

Redis Search guidance covering FT.CREATE schema design, field type selection (TEXT, TAG, NUMERIC, GEO, GEOSHAPE, VECTOR, JSON path), DIALECT 2 query syntax, FT.SEARCH / FT.AGGREGATE / FT.HYBRID command selection, vector similarity with HNSW or FLAT, hybrid retrieval combining lexical and vector ranking, RAG pipelines, zero-downtime index updates via aliases, and debugging with FT.PROFILE and FT.EXPLAIN. Use when defining a search index on Hash or JSON documents, writing FT.SEARCH queries with filters, sorting, aggregation, or vector KNN, tuning HNSW parameters, building a RAG retrieval pipeline, or troubleshooting slow or empty search results.

/redis-observability

Redis observability guidance — which metrics to monitor (memory, connections, hit ratio, ops/sec, rejected connections), which built-in commands to reach for during incident triage (SLOWLOG, INFO, MEMORY DOCTOR, CLIENT LIST, FT.PROFILE), and when to use the Redis Insight GUI. Use when setting up monitoring or alerts for a Redis instance, diagnosing a performance regression, profiling a slow FT.SEARCH query, or wiring Redis metrics into Prometheus, Datadog, or similar.

/redis-semantic-cache

Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search/set via the SDK or REST API, tuning the similarity threshold, separating caches per task type, and filtering with custom attributes. Use when caching LLM completions or RAG answers to cut API cost and latency, building a cache-aside layer in front of OpenAI / Anthropic / etc., tuning hit rate vs precision, or splitting one app's LLM workloads into multiple LangCache caches.

/redis-connections

Redis client and connection guidance covering connection pooling, multiplexing, pipelining, client-side caching with RESP3, avoiding slow commands (KEYS, SMEMBERS, HGETALL), and tuning socket timeouts. Use when configuring a Redis client (redis-py, Jedis, Lettuce, NRedisStack), batching commands for throughput, eliminating per-request connection creation, iterating large keyspaces with SCAN, enabling client-side caching for read-heavy workloads, or setting connect and read timeouts.

Add to your README

The badge links readers to this page. It shows the skilld mark and no counts, and it follows the reader's light or dark GitHub theme.

<a href="https://skilld.dev/gh/redis/agent-skills"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://skilld.dev/b/redis/agent-skills?theme=dark"> <source media="(prefers-color-scheme: light)" srcset="https://skilld.dev/b/redis/agent-skills?theme=light"> <img alt="Skill repository on skilld.dev" src="https://skilld.dev/b/redis/agent-skills?theme=light"> </picture> </a>