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Before any significant cluster operation (upgrade, scaling, configuration change, maintenance), run this workflow to establish a go\u002Fno-go baseline.\n\n## Workflow\n\n### Step 1: Cluster state\n\nCall `get_cluster` to get:\n- Cluster name and FQDN\n- Redis Enterprise software version\n- Cluster state\n\n**Go condition**: `state == \"active\"`. Any other state (`degraded`, `recovery`, etc.) is a **NO-GO** — do not proceed with the planned operation.\n\n### Step 2: Node health\n\n**2a. List all nodes**\n\nCall `list_nodes` to get all cluster nodes. For each node, note:\n- Node ID\n- Status (`active` or other)\n- Role (primary\u002Freplica if shown)\n- Address\n\n**2b. Check each non-active node**\n\nIf any node shows a status other than `active`, call `get_node` with that node ID to get detailed status. Report the details.\n\n**Go condition**: all nodes must show `status == \"active\"`. Any inactive or unreachable node is a **NO-GO**.\n\n### Step 3: License check\n\n**3a. Call `get_license`** to check:\n- License expiry date\n- Maximum shards allowed\n\n**3b. Call `get_license_usage`** to check:\n- Current shard count in use\n- Shard usage percentage\n\n**Go condition**:\n- License expiry is more than 14 days away (warn if \u003C 30 days)\n- Shard usage is below 90% of the licensed maximum\n\nReport shard headroom: `licensed - used = available shards`.\n\n### Step 4: Active alerts\n\nCall `list_alerts` to get all active alerts for the cluster.\n\nClassify alerts by severity:\n- **Critical alerts** (memory, connectivity, node down, license): **NO-GO** — must be resolved before proceeding\n- **Warning alerts** (high memory, replication lag, slow performance): proceed with caution; document in change record\n- **Info alerts**: note for awareness\n\nIf no alerts are active, confirm: \"No active alerts.\"\n\n### Step 5: Database status\n\nCall `list_enterprise_databases` to get all databases. For each database, check:\n- `status` field — must be `active`\n- Note database name, memory size, and shard count for context\n\n**Go condition**: all databases must be `active`. A database in `pending`, `recovery`, or error state is a **NO-GO**.\n\n### Step 6: Health summary\n\nPresent a go\u002Fno-go table:\n\n| Check | Status | Details |\n|-------|--------|---------|\n| Cluster state | ✓ active \u002F ✗ \u003Cstate> | \u003Cversion> |\n| All nodes active | ✓ N\u002FN active \u002F ✗ N\u002FM active | IDs of inactive nodes |\n| License valid | ✓ expires \u003Cdate> \u002F ✗ expires \u003Cdate> | \u003Cused>\u002F\u003Cmax> shards |\n| No critical alerts | ✓ clean \u002F ✗ N critical | Alert names |\n| All databases active | ✓ N\u002FN active \u002F ✗ N\u002FM active | IDs of inactive databases |\n\n**Overall: GO \u002F NO-GO**\n\nIf all checks pass: \"Cluster is healthy. Safe to proceed with the planned operation.\"\n\nIf any check fails: \"Cluster has issues. Resolve the NO-GO conditions before proceeding.\"\n\n## Thresholds\n\n| Metric | Warning | NO-GO |\n|--------|---------|-------|\n| License expiry | \u003C 30 days | \u003C 7 days |\n| Shard usage | > 80% of licensed | > 95% of licensed |\n| Inactive nodes | 1 node (warn) | 2+ nodes, or primary node |\n| Inactive databases | Any database not active | Any database in error\u002Frecovery |\n| Active critical alerts | N\u002FA | Any critical alert present |\n\n## When to run this skill\n\nRun before:\n- Redis Enterprise version upgrades\n- Cluster scaling (adding\u002Fremoving nodes)\n- Database configuration changes (resizing, module additions)\n- Maintenance windows\n- Active-Active cluster topology changes\n- Any operation that requires cluster quorum\n\nDo NOT run during an active incident — this skill is a pre-flight check, not an incident response tool. 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For active incidents, use ",{"type":43,"tag":70,"props":836,"children":838},{"className":837},[],[839],{"type":48,"value":360},{"type":48,"value":841}," and ",{"type":43,"tag":70,"props":843,"children":845},{"className":844},[],[846],{"type":48,"value":222},{"type":48,"value":848}," directly.",{"items":850,"total":1041},[851,873,891,904,917,933,949,969,983,998,1013,1028],{"slug":852,"name":852,"fn":853,"description":854,"org":855,"tags":856,"stars":870,"repoUrl":871,"updatedAt":872},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[857,860,863,866,869],{"name":858,"slug":859,"type":15},"Agents","agents",{"name":861,"slug":862,"type":15},"AI Infrastructure","ai-infrastructure",{"name":864,"slug":865,"type":15},"Backend","backend",{"name":867,"slug":868,"type":15},"Memory","memory",{"name":9,"slug":8,"type":15},92,"https:\u002F\u002Fgithub.com\u002Fredis\u002Fagent-skills","2026-05-27T07:19:45.213725",{"slug":874,"name":874,"fn":875,"description":876,"org":877,"tags":878,"stars":870,"repoUrl":871,"updatedAt":890},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[879,882,883,886,889],{"name":880,"slug":881,"type":15},"Architecture","architecture",{"name":20,"slug":21,"type":15},{"name":884,"slug":885,"type":15},"Infrastructure","infrastructure",{"name":887,"slug":888,"type":15},"Performance","performance",{"name":9,"slug":8,"type":15},"2026-05-27T07:19:38.757599",{"slug":892,"name":892,"fn":893,"description":894,"org":895,"tags":896,"stars":870,"repoUrl":871,"updatedAt":903},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[897,898,901,902],{"name":864,"slug":865,"type":15},{"name":899,"slug":900,"type":15},"Caching","caching",{"name":887,"slug":888,"type":15},{"name":9,"slug":8,"type":15},"2026-05-27T07:19:42.616757",{"slug":905,"name":905,"fn":906,"description":907,"org":908,"tags":909,"stars":870,"repoUrl":871,"updatedAt":916},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[910,911,914,915],{"name":880,"slug":881,"type":15},{"name":912,"slug":913,"type":15},"Data Modeling","data-modeling",{"name":20,"slug":21,"type":15},{"name":9,"slug":8,"type":15},"2026-05-27T07:19:41.317954",{"slug":918,"name":918,"fn":919,"description":920,"org":921,"tags":922,"stars":870,"repoUrl":871,"updatedAt":932},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[923,926,929,930,931],{"name":924,"slug":925,"type":15},"Debugging","debugging",{"name":927,"slug":928,"type":15},"Monitoring","monitoring",{"name":13,"slug":14,"type":15},{"name":887,"slug":888,"type":15},{"name":9,"slug":8,"type":15},"2026-05-27T07:19:47.780873",{"slug":934,"name":934,"fn":935,"description":936,"org":937,"tags":938,"stars":870,"repoUrl":871,"updatedAt":948},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[939,940,941,944,945],{"name":880,"slug":881,"type":15},{"name":20,"slug":21,"type":15},{"name":942,"slug":943,"type":15},"Engineering","engineering",{"name":9,"slug":8,"type":15},{"name":946,"slug":947,"type":15},"Search","search","2026-06-24T07:39:43.089819",{"slug":950,"name":950,"fn":951,"description":952,"org":953,"tags":954,"stars":870,"repoUrl":871,"updatedAt":968},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[955,958,961,964,965],{"name":956,"slug":957,"type":15},"Access Control","access-control",{"name":959,"slug":960,"type":15},"Authentication","authentication",{"name":962,"slug":963,"type":15},"Compliance","compliance",{"name":9,"slug":8,"type":15},{"name":966,"slug":967,"type":15},"Security","security","2026-05-27T07:19:40.030241",{"slug":970,"name":970,"fn":971,"description":972,"org":973,"tags":974,"stars":870,"repoUrl":871,"updatedAt":982},"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":8,"name":9,"logoUrl":10,"githubOrg":8},[975,976,977,980,981],{"name":861,"slug":862,"type":15},{"name":899,"slug":900,"type":15},{"name":978,"slug":979,"type":15},"LLM","llm",{"name":9,"slug":8,"type":15},{"name":946,"slug":947,"type":15},"2026-05-27T07:19:43.897283",{"slug":984,"name":984,"fn":985,"description":986,"org":987,"tags":988,"stars":995,"repoUrl":996,"updatedAt":997},"agent-filesystem","manage persistent storage in Redis","Use when agents need persistent shared storage, when saving or restoring workspace state, or when coordinating file access across multiple agents and machines. Creates Redis-backed workspaces, checkpoints and restores agent state, mounts shared filesystems locally, searches workspace contents, and forks workspaces for parallel work.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[989,990,993,994],{"name":858,"slug":859,"type":15},{"name":991,"slug":992,"type":15},"File Storage","file-storage",{"name":867,"slug":868,"type":15},{"name":9,"slug":8,"type":15},22,"https:\u002F\u002Fgithub.com\u002Fredis\u002Fagent-filesystem","2026-04-10T04:51:05.904489",{"slug":999,"name":999,"fn":1000,"description":1001,"org":1002,"tags":1003,"stars":995,"repoUrl":996,"updatedAt":1012},"codex-settings-sync","sync Codex settings across computers","Use when the user wants to migrate Codex state in ~\u002F.codex into Agent Filesystem and mount the same shared Codex memory\u002Fsettings across multiple computers. Recommends a .afsignore before migration and defaults to excluding worktrees, caches, logs, and temporary files.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1004,1007,1008,1011],{"name":1005,"slug":1006,"type":15},"Codex","codex",{"name":867,"slug":868,"type":15},{"name":1009,"slug":1010,"type":15},"Migration","migration",{"name":9,"slug":8,"type":15},"2026-04-10T04:51:07.268248",{"slug":1014,"name":1014,"fn":1015,"description":1016,"org":1017,"tags":1018,"stars":23,"repoUrl":24,"updatedAt":1027},"cloud-database-provisioning","provision Redis Cloud databases","Provision a Redis Cloud database end-to-end — Essentials (fixed plan) or Pro (custom) — using Redis Cloud MCP tools",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1019,1022,1023,1026],{"name":1020,"slug":1021,"type":15},"Cloud","cloud",{"name":20,"slug":21,"type":15},{"name":1024,"slug":1025,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-06-03T07:53:00.906753",{"slug":1029,"name":1029,"fn":1030,"description":1031,"org":1032,"tags":1033,"stars":23,"repoUrl":24,"updatedAt":1040},"compare-approaches","prototype Redis data model alternatives","Prototype and compare 2-3 Redis data model alternatives for the same workload",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1034,1035,1036,1039],{"name":912,"slug":913,"type":15},{"name":20,"slug":21,"type":15},{"name":1037,"slug":1038,"type":15},"Prototyping","prototyping",{"name":9,"slug":8,"type":15},"2026-05-27T07:19:55.591944",27,{"items":1043,"total":1114},[1044,1051,1058,1071,1082,1089,1103],{"slug":1014,"name":1014,"fn":1015,"description":1016,"org":1045,"tags":1046,"stars":23,"repoUrl":24,"updatedAt":1027},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1047,1048,1049,1050],{"name":1020,"slug":1021,"type":15},{"name":20,"slug":21,"type":15},{"name":1024,"slug":1025,"type":15},{"name":9,"slug":8,"type":15},{"slug":1029,"name":1029,"fn":1030,"description":1031,"org":1052,"tags":1053,"stars":23,"repoUrl":24,"updatedAt":1040},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1054,1055,1056,1057],{"name":912,"slug":913,"type":15},{"name":20,"slug":21,"type":15},{"name":1037,"slug":1038,"type":15},{"name":9,"slug":8,"type":15},{"slug":1059,"name":1059,"fn":1060,"description":1061,"org":1062,"tags":1063,"stars":23,"repoUrl":24,"updatedAt":1070},"data-explorer","explore and profile Redis datasets","Profile and explore a Redis dataset - key types, sizes, TTLs, encodings, and sample values",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1064,1067,1068,1069],{"name":1065,"slug":1066,"type":15},"Data Analysis","data-analysis",{"name":20,"slug":21,"type":15},{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},"2026-05-28T07:09:52.268662",{"slug":1072,"name":1072,"fn":1073,"description":1074,"org":1075,"tags":1076,"stars":23,"repoUrl":24,"updatedAt":1081},"data-modeling-advisor","design Redis data models","Recommend Redis data structures and patterns for a given workload before committing to an approach",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1077,1078,1079,1080],{"name":880,"slug":881,"type":15},{"name":912,"slug":913,"type":15},{"name":20,"slug":21,"type":15},{"name":9,"slug":8,"type":15},"2026-05-28T07:09:51.028825",{"slug":4,"name":4,"fn":5,"description":6,"org":1083,"tags":1084,"stars":23,"repoUrl":24,"updatedAt":25},{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1085,1086,1087,1088],{"name":20,"slug":21,"type":15},{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},{"name":9,"slug":8,"type":15},{"slug":1090,"name":1090,"fn":1091,"description":1092,"org":1093,"tags":1094,"stars":23,"repoUrl":24,"updatedAt":1102},"index-ab-test","compare RediSearch index configurations","Create and compare multiple RediSearch index configurations to find the best one",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1095,1098,1099,1100,1101],{"name":1096,"slug":1097,"type":15},"A\u002FB Testing","a-b-testing",{"name":20,"slug":21,"type":15},{"name":887,"slug":888,"type":15},{"name":9,"slug":8,"type":15},{"name":946,"slug":947,"type":15},"2026-05-28T07:09:53.54884",{"slug":1104,"name":1104,"fn":1105,"description":1106,"org":1107,"tags":1108,"stars":23,"repoUrl":24,"updatedAt":1113},"index-advisor","recommend RediSearch index schemas","Analyze a Redis dataset and recommend an optimal RediSearch index schema",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1109,1110,1111,1112],{"name":912,"slug":913,"type":15},{"name":20,"slug":21,"type":15},{"name":9,"slug":8,"type":15},{"name":946,"slug":947,"type":15},"2026-05-28T07:09:48.520606",17]