[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"org-redis":3,"repo-skills-v-0-3-0":110},{"org":4,"repos":51},{"slug":5,"name":6,"logoUrl":7,"githubOrg":5,"website":8,"skillCount":9,"repoCount":10,"topRepos":11,"topTags":21,"lastUpdatedAt":50},"redis","Redis","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fredis.png","https:\u002F\u002Fredis.io",27,3,[12,15,18],{"name":13,"skillCount":14},"redis\u002Fredisctl",17,{"name":16,"skillCount":17},"redis\u002Fagent-skills",8,{"name":19,"skillCount":20},"redis\u002Fagent-filesystem",2,[22,23,26,29,32,35,38,41,44,47],{"slug":5,"name":6},{"slug":24,"name":25},"database","Database",{"slug":27,"name":28},"performance","Performance",{"slug":30,"name":31},"search","Search",{"slug":33,"name":34},"cli","CLI",{"slug":36,"name":37},"operations","Operations",{"slug":39,"name":40},"architecture","Architecture",{"slug":42,"name":43},"data-modeling","Data Modeling",{"slug":45,"name":46},"memory","Memory",{"slug":48,"name":49},"observability","Observability","2026-06-24T07:39:43.089819",[52,70,88],{"name":53,"fullName":13,"repoUrl":54,"skillCount":14,"stars":55,"forks":56,"description":57,"topics":58,"topTags":61,"topTagCount":68,"lastUpdatedAt":69},"redisctl","https:\u002F\u002Fgithub.com\u002Fredis\u002Fredisctl",15,0,"Unified CLI for Redis Cloud and Enterprise management",[33,5,59,60],"redis-cloud","redis-enterprise",[62,63,64,65,66,67],{"slug":5,"name":6},{"slug":24,"name":25},{"slug":33,"name":34},{"slug":36,"name":37},{"slug":30,"name":31},{"slug":42,"name":43},22,"2026-06-03T07:53:00.906753",{"name":71,"fullName":16,"repoUrl":72,"skillCount":17,"stars":73,"forks":74,"description":75,"topics":76,"topTags":77,"topTagCount":74,"lastUpdatedAt":50},"agent-skills","https:\u002F\u002Fgithub.com\u002Fredis\u002Fagent-skills",92,21,"Redis' official collection of agent skills",[71,5],[78,79,80,81,82,85],{"slug":5,"name":6},{"slug":39,"name":40},{"slug":24,"name":25},{"slug":27,"name":28},{"slug":83,"name":84},"ai-infrastructure","AI Infrastructure",{"slug":86,"name":87},"backend","Backend",{"name":89,"fullName":19,"repoUrl":90,"skillCount":20,"stars":68,"forks":91,"description":92,"topics":93,"topTags":94,"topTagCount":91,"lastUpdatedAt":109},"agent-filesystem","https:\u002F\u002Fgithub.com\u002Fredis\u002Fagent-filesystem",6,null,[],[95,96,97,100,103,106],{"slug":45,"name":46},{"slug":5,"name":6},{"slug":98,"name":99},"agents","Agents",{"slug":101,"name":102},"codex","Codex",{"slug":104,"name":105},"file-storage","File Storage",{"slug":107,"name":108},"migration","Migration","2026-04-10T04:51:07.268248",{"items":111,"total":17},[112,125,139,152,163,179,192,212],{"slug":113,"name":113,"fn":114,"description":115,"org":116,"tags":117,"stars":73,"repoUrl":72,"updatedAt":124},"iris-development","integrate with Redis Iris AI products","Iris is Redis's umbrella for AI-focused products. Use this skill when integrating with the Iris Redis Agent Memory (RAM) data plane on Redis Cloud — recording session events for an AI agent, creating or searching long-term memories, configuring a memory store, or tuning background memory promotion. Code examples use the official `redis-agent-memory` (Python) and `@redis-iris\u002Fagent-memory` (TypeScript) SDKs.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[118,120,121,122,123],{"name":99,"slug":98,"type":119},"tag",{"name":84,"slug":83,"type":119},{"name":87,"slug":86,"type":119},{"name":46,"slug":45,"type":119},{"name":6,"slug":5,"type":119},"2026-05-27T07:19:45.213725",{"slug":126,"name":126,"fn":127,"description":128,"org":129,"tags":130,"stars":73,"repoUrl":72,"updatedAt":138},"redis-clustering","configure Redis clustering and replication","Redis Cluster and replication guidance covering hash tags for multi-key operations, avoiding CROSSSLOT errors, and reading from replicas to scale read-heavy workloads. Use when designing keys for a sharded Redis Cluster, debugging CROSSSLOT errors on MGET \u002F SDIFF \u002F pipelines, configuring a multi-key transaction in a cluster, or routing reads to replicas for caches, analytics, or dashboards.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[131,132,133,136,137],{"name":40,"slug":39,"type":119},{"name":25,"slug":24,"type":119},{"name":134,"slug":135,"type":119},"Infrastructure","infrastructure",{"name":28,"slug":27,"type":119},{"name":6,"slug":5,"type":119},"2026-05-27T07:19:38.757599",{"slug":140,"name":140,"fn":141,"description":142,"org":143,"tags":144,"stars":73,"repoUrl":72,"updatedAt":151},"redis-connections","optimize Redis client 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.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[145,146,149,150],{"name":87,"slug":86,"type":119},{"name":147,"slug":148,"type":119},"Caching","caching",{"name":28,"slug":27,"type":119},{"name":6,"slug":5,"type":119},"2026-05-27T07:19:42.616757",{"slug":153,"name":153,"fn":154,"description":155,"org":156,"tags":157,"stars":73,"repoUrl":72,"updatedAt":162},"redis-core","model data with Redis structures","Core Redis modeling guidance — choose the right data structure (String, Hash, List, Set, Sorted Set, JSON, Stream, Vector Set) and use consistent colon-separated key names. Use when designing a Redis data model, caching objects, deciding between Hash and JSON, building counters, leaderboards, membership sets, or session stores, or when reviewing\u002Fcleaning up Redis key naming.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[158,159,160,161],{"name":40,"slug":39,"type":119},{"name":43,"slug":42,"type":119},{"name":25,"slug":24,"type":119},{"name":6,"slug":5,"type":119},"2026-05-27T07:19:41.317954",{"slug":164,"name":164,"fn":165,"description":166,"org":167,"tags":168,"stars":73,"repoUrl":72,"updatedAt":178},"redis-observability","monitor and triage Redis performance","Redis observability guidance — which metrics to monitor (memory, connections, hit ratio, ops\u002Fsec, 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.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[169,172,175,176,177],{"name":170,"slug":171,"type":119},"Debugging","debugging",{"name":173,"slug":174,"type":119},"Monitoring","monitoring",{"name":49,"slug":48,"type":119},{"name":28,"slug":27,"type":119},{"name":6,"slug":5,"type":119},"2026-05-27T07:19:47.780873",{"slug":180,"name":180,"fn":181,"description":182,"org":183,"tags":184,"stars":73,"repoUrl":72,"updatedAt":50},"redis-search","implement Redis Search indexing and queries","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 \u002F FT.AGGREGATE \u002F 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.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[185,186,187,190,191],{"name":40,"slug":39,"type":119},{"name":25,"slug":24,"type":119},{"name":188,"slug":189,"type":119},"Engineering","engineering",{"name":6,"slug":5,"type":119},{"name":31,"slug":30,"type":119},{"slug":193,"name":193,"fn":194,"description":195,"org":196,"tags":197,"stars":73,"repoUrl":72,"updatedAt":211},"redis-security","secure Redis instances and clusters","Redis security guidance covering authentication (requirepass and ACL users), TLS, ACL-based least-privilege access control, restricting network exposure via bind and protected-mode, firewall rules, and disabling dangerous commands. Use when deploying Redis to production, defining ACL users for an application, configuring TLS connections, locking down a Redis instance behind a firewall, or auditing a Redis deployment for security hardening.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[198,201,204,207,208],{"name":199,"slug":200,"type":119},"Access Control","access-control",{"name":202,"slug":203,"type":119},"Authentication","authentication",{"name":205,"slug":206,"type":119},"Compliance","compliance",{"name":6,"slug":5,"type":119},{"name":209,"slug":210,"type":119},"Security","security","2026-05-27T07:19:40.030241",{"slug":213,"name":213,"fn":214,"description":215,"org":216,"tags":217,"stars":73,"repoUrl":72,"updatedAt":225},"redis-semantic-cache","implement semantic caching with Redis","Redis LangCache guidance for semantic caching of LLM responses on Redis Cloud — calling search\u002Fset 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 \u002F Anthropic \u002F etc., tuning hit rate vs precision, or splitting one app's LLM workloads into multiple LangCache caches.",{"slug":5,"name":6,"logoUrl":7,"githubOrg":5},[218,219,220,223,224],{"name":84,"slug":83,"type":119},{"name":147,"slug":148,"type":119},{"name":221,"slug":222,"type":119},"LLM","llm",{"name":6,"slug":5,"type":119},{"name":31,"slug":30,"type":119},"2026-05-27T07:19:43.897283"]