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Triggers on requests like \"RDS review\", \"Aurora best practices audit\", \"database operational assessment\", \"review my RDS instance\", \"RDS health check\", or \"ORR for RDS\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"aws","AWS (Amazon)","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Faws.png",[12,16,19,22],{"name":13,"slug":14,"type":15},"Operations","operations","tag",{"name":17,"slug":18,"type":15},"Audit","audit",{"name":20,"slug":21,"type":15},"Database","database",{"name":23,"slug":8,"type":15},"AWS",35,"https:\u002F\u002Fgithub.com\u002Faws\u002Ftools-for-devops-agent","2026-08-20T03:53:45.265244",null,30,[30,31,32,33,34,8,35,36,37,38,39,40,41,42,43,44,45,46],"agent-skills","agentic-ai","agents","ai-agents","aiops","aws-devops-agent","cloud-operations","custom-agents","devops","devops-agent-skills","frontier-agent","incident-response","operational-excellence","root-cause-analysis","skills","sre","support",{"repoUrl":25,"stars":24,"forks":28,"topics":48,"description":49},[30,31,32,33,34,8,35,36,37,38,39,40,41,42,43,44,45,46],"Open-source tools for AWS DevOps Agent - extend DevOps Agent with ready-to-use skills, custom agents, and other tools, for incident response, root cause analysis, and operational troubleshooting","https:\u002F\u002Fgithub.com\u002Faws\u002Ftools-for-devops-agent\u002Ftree\u002FHEAD\u002Fskills\u002Frds-operation-review","---\nname: rds-operation-review\ndescription: Comprehensive Amazon RDS and Aurora operational review aligned with the\n  AWS Well-Architected Framework and RDS\u002FAurora best practices. Use this skill when\n  a user asks to review, audit, or assess RDS instances or Aurora clusters for best\n  practices compliance, security posture, reliability, performance, cost optimization,\n  backups, encryption, or operational readiness. Triggers on requests like \"RDS\n  review\", \"Aurora best practices audit\", \"database operational assessment\", \"review\n  my RDS instance\", \"RDS health check\", or \"ORR for RDS\".\nmetadata:\n  author: yakiratz-aws\n  version: \"1.0.0\"\n  aws-devops-agent-skills.agent-types: \"Chat tasks, Evaluation\"\n  aws-devops-agent-skills.aws-services: \"Amazon RDS\"\n  aws-devops-agent-skills.technical-domains: \"Databases\"\n---\n\n# RDS \u002F Aurora Operational Review\n\nConduct a comprehensive operational review of Amazon RDS instances and Amazon Aurora\nclusters aligned with the [AWS Well-Architected Framework](https:\u002F\u002Fdocs.aws.amazon.com\u002Fwellarchitected\u002Flatest\u002Fframework\u002Fwelcome.html)\nand the [Amazon RDS](https:\u002F\u002Fdocs.aws.amazon.com\u002FAmazonRDS\u002Flatest\u002FUserGuide\u002FCHAP_BestPractices.html)\nand [Aurora](https:\u002F\u002Fdocs.aws.amazon.com\u002FAmazonRDS\u002Flatest\u002FAuroraUserGuide\u002FCHAP_BestPractices.html)\nbest-practices guides.\n\nThis skill uses the **AWS RDS, Aurora, CloudWatch, CloudWatch Logs, EC2, and Cost\nExplorer APIs only** — no Kubernetes (`k8s`) or `eks` MCP tools. All data is\ncollected through native AWS APIs available to the DevOps Agent's primary cloud\nsource role.\n\n## When to Use\n\nActivate this skill when the user asks to:\n- Review, audit, or assess RDS instances or Aurora clusters\n- Check RDS \u002F Aurora best-practices compliance\n- Evaluate database security, cost, reliability, performance, or backups\n- Perform an RDS \u002F Aurora operational readiness review (ORR)\n- Investigate database health or configuration drift\n\n## Step 1: Identify Target Resources\n\nAsk the user which databases to review. Accept:\n- Specific instance \u002F cluster identifiers and regions\n- \"all instances\" \u002F \"all clusters\" in specific regions\n- \"all RDS in all regions\"\n\nIf no scope is given, default to all configured account regions.\n\n## Step 2: Discover RDS \u002F Aurora Resources\n\nPer region (skip empty regions):\n\n```\nrds.DescribeDBInstances           # RDS instances + Aurora cluster member instances\nrds.DescribeDBClusters            # Aurora clusters (skip if user said \"Provisioned only\")\nrds.DescribeDBClusterEndpoints    # Aurora reader\u002Fwriter endpoints\nrds.DescribeGlobalClusters        # Aurora Global Database (cross-region)\nrds.DescribeDBProxies             # RDS Proxy\n```\n\nCapture per resource:\n- Engine, engineVersion, dbInstanceClass \u002F serverlessV2 capacity\n- Multi-AZ, AvailabilityZones, subnetGroup, VpcId\n- AllocatedStorage, MaxAllocatedStorage, StorageType, Iops, StorageThroughput, StorageEncrypted, KmsKeyId\n- BackupRetentionPeriod, PreferredBackupWindow, PreferredMaintenanceWindow, AutoMinorVersionUpgrade\n- DeletionProtection, PubliclyAccessible, IAMDatabaseAuthenticationEnabled\n- PerformanceInsightsEnabled, PerformanceInsightsRetentionPeriod, MonitoringInterval (Enhanced Monitoring), MonitoringRoleArn\n- EnabledCloudwatchLogsExports, AssociatedRoles\n- ReadReplicaSourceDBInstanceIdentifier \u002F ReadReplicaDBInstanceIdentifiers\n- Tags (`rds.ListTagsForResource` — param name is `ResourceName` and value is the resource ARN)\n\n## Step 3: Discover Configuration Dependencies\n\nFor each database, collect:\n\n```\nrds.DescribeDBParameterGroups           # custom vs default\nrds.DescribeDBClusterParameterGroups    # Aurora\nrds.DescribeOptionGroups                # RDS option groups\nrds.DescribeDBSubnetGroups              # subnet AZ spread\nec2.DescribeSecurityGroups              # vpcSecurityGroupIds → ingress rules\nkms.DescribeKey                         # for KmsKeyId (encryption at rest)\n```\n\n## Step 4: Collect Backups, Snapshots, Maintenance\n\n```\nrds.DescribeDBSnapshots                            # manual + automated, per instance\nrds.DescribeDBClusterSnapshots                     # Aurora\nrds.DescribeDBInstanceAutomatedBackups\nrds.DescribeDBClusterAutomatedBackups\nrds.DescribeDBEngineVersions                       # current vs latest minor\u002Fmajor\nrds.DescribePendingMaintenanceActions\nrds.DescribeEvents                                 # last 14 days; duration in MINUTES (20160)\nrds.DescribeEventSubscriptions\n```\n\nFor each instance\u002Fcluster, also fetch:\n- `rds.DescribeDBLogFiles` — list of logs available locally on the DB\n- `logs.DescribeLogGroups` with prefix:\n  - Instances: `\u002Faws\u002Frds\u002Finstance\u002F\u003CdbInstanceIdentifier>\u002F`\n  - Aurora: `\u002Faws\u002Frds\u002Fcluster\u002F\u003CdbClusterIdentifier>\u002F`\n\n## Step 5: Collect CloudWatch Metrics (7-Day Historical)\n\n**One** `cloudwatch.GetMetricData` call per resource. `Period: 21600` (6 hours).\n`StartTime`: 7 days ago. `EndTime`: now.\n\n### 5.1 RDS Instances (dimension `DBInstanceIdentifier`)\n\n| id | metricName | stat | unit |\n|----|------------|------|------|\n| `cpu` | CPUUtilization | Average | % |\n| `freeMem` | FreeableMemory | Minimum | bytes |\n| `freeSpace` | FreeStorageSpace | Minimum | bytes |\n| `readIops` | ReadIOPS | Average | count\u002Fs |\n| `writeIops` | WriteIOPS | Average | count\u002Fs |\n| `readLat` | ReadLatency | Average | s |\n| `writeLat` | WriteLatency | Average | s |\n| `dbConn` | DatabaseConnections | Maximum | count |\n| `swap` | SwapUsage | Average | bytes |\n| `netIn` | NetworkReceiveThroughput | Average | bytes\u002Fs |\n| `netOut` | NetworkTransmitThroughput | Average | bytes\u002Fs |\n| `binLog` | BinLogDiskUsage | Average | bytes |\n| `replLag` | ReplicaLag | Maximum | s |\n\n### 5.2 Aurora Clusters (dimension `DBClusterIdentifier`)\n\n| id | metricName | stat | unit |\n|----|------------|------|------|\n| `cpu` | CPUUtilization | Average | % |\n| `freeMem` | FreeableMemory | Minimum | bytes |\n| `dbConn` | DatabaseConnections | Maximum | count |\n| `replLag` | AuroraReplicaLag | Maximum | ms |\n| `bufCache` | BufferCacheHitRatio | Average | % |\n| `commitLat` | CommitLatency | Average | ms |\n| `readLat` | ReadLatency | Average | s |\n| `writeLat` | WriteLatency | Average | s |\n| `volReadIops` | VolumeReadIOPs | Sum | count |\n| `volWriteIops` | VolumeWriteIOPs | Sum | count |\n| `serverlessAcu` | ServerlessDatabaseCapacity | Average | ACU |\n\n### 5.3 Per-Instance Aurora Members\n\nSame instance metrics as 5.1, dimensioned by `DBInstanceIdentifier` of each cluster member.\n\nFetch `cloudwatch.DescribeAlarmsForMetric` for the key metrics\n(`CPUUtilization`, `FreeStorageSpace`, `DatabaseConnections`, `ReadLatency`,\n`WriteLatency`, `ReplicaLag` \u002F `AuroraReplicaLag`) per resource so the report can\nflag missing alarms.\n\n## Step 6: Collect Logs (7-Day)\n\nPer database log group, scan with `logs.FilterLogEvents` for:\n\n| Pattern | What it indicates |\n|---------|-------------------|\n| `ERROR` \u002F `FATAL` | engine errors |\n| `Out of memory` \u002F `OOM` | memory pressure |\n| `connection limit exceeded` \u002F `too many connections` | connection saturation |\n| `deadlock` \u002F `lock wait timeout` | contention |\n| `slow query` \u002F `duration: ` (Postgres slow log) | query performance |\n| `aborted connection` (MySQL) | client\u002Fnetwork issues |\n| `replication has stopped` \u002F `IO_THREAD` errors | replication health |\n| `checkpoint` warnings \u002F `archiver failed` | I\u002FO \u002F WAL issues |\n| `failed to connect` \u002F `authentication failed` | auth\u002Fnetwork |\n\nRecord occurrence counts per pattern over the 7-day window.\n\n## Step 7: Collect CloudTrail-Visible RDS Events\n\nUse `rds.DescribeEvents` (last 14 days) per resource — covers the same\noperational signal as CloudTrail for RDS without an extra API permission.\nLook for: `failover`, `restart`, `parameter group apply`, `out-of-memory`,\n`storage-full`, `low-storage`, `automated-backup-failed`,\n`maintenance`-related events, `read replica error`, `instance stopped`.\n\n## Step 8: Cost Data\n\nOnce per review (not per resource):\n\n```\ncostexplorer.GetCostAndUsage     # 3 months, by USAGE_TYPE,\n                                 # filter Service = \"Amazon Relational Database Service\"\nrds.DescribeReservedDBInstances  # RI inventory\n```\n\nEstimate per-database monthly cost as a proportional split of the latest month\ntotal (Cost Explorer doesn't break down per DB):\n\n1. Get the most recent full month total RDS spend.\n2. Per resource, weight by `vCPUs(instance class) × (Multi-AZ ? 2 : 1) + allocatedStorageGB`.\n3. For Aurora clusters, sum across cluster member instances; storage is cluster-shared.\n4. Note the estimate in the report with an \"estimated\" badge.\n\n## Step 9: Analyze Against Best Practices\n\nEvaluate ALL collected data across the five Well-Architected pillars and assign a\nseverity to every finding: CRITICAL, HIGH, MEDIUM, LOW, or INFO.\n\n### 9.1 Security\nRef: [Security in Amazon RDS](https:\u002F\u002Fdocs.aws.amazon.com\u002FAmazonRDS\u002Flatest\u002FUserGuide\u002FUsingWithRDS.html)\n\n- **Network exposure**: `PubliclyAccessible=true` → CRITICAL for production. Security groups with `0.0.0.0\u002F0` ingress on the DB port → CRITICAL.\n- **Encryption at rest**: `StorageEncrypted=false` → HIGH (or CRITICAL for regulated workloads). Customer-managed KMS key preferred over AWS-managed.\n- **Encryption in transit**: parameter `rds.force_ssl=1` (Postgres) \u002F `require_secure_transport=ON` (MySQL\u002FMariaDB) → MEDIUM if not set.\n- **IAM auth**: `IAMDatabaseAuthenticationEnabled=false` → MEDIUM. Master password in app code instead of Secrets Manager → HIGH.\n- **Secrets Manager rotation**: not enabled → MEDIUM.\n- **Audit logging**: engine audit logs not in `EnabledCloudwatchLogsExports` → MEDIUM (HIGH for PCI\u002FHIPAA scope).\n- **CMK rotation**: KMS key without automatic rotation → LOW.\n\n### 9.2 Reliability\nRef: [High Availability for Amazon RDS](https:\u002F\u002Fdocs.aws.amazon.com\u002FAmazonRDS\u002Flatest\u002FUserGuide\u002FConcepts.MultiAZ.html)\n\n- **Multi-AZ**: production single-AZ → HIGH (Aurora: ≥1 reader in a different AZ).\n- **Subnet group AZ spread**: subnets span \u003C2 AZs → HIGH.\n- **Backups**: `BackupRetentionPeriod=0` → CRITICAL. \u003C7 days for production → HIGH.\n- **Deletion protection**: production with `DeletionProtection=false` → HIGH.\n- **Auto minor version upgrade**: `AutoMinorVersionUpgrade=false` for non-prod → MEDIUM.\n- **Custom parameter group**: instance using `default.\u003Cengine>` parameter group → MEDIUM (can't tune).\n- **Pending maintenance**: required actions not applied within window → MEDIUM, escalating with age.\n- **Replication health (read replicas)**: `ReplicaLag` 7-day max > 30s → HIGH; > 300s → CRITICAL.\n- **Aurora replicas**: clusters with no reader → MEDIUM; single-AZ readers → MEDIUM.\n- **DR**: cross-region read replica or Aurora Global Database absent for tier-1 workloads → MEDIUM.\n\n### 9.3 Performance\nRef: [DB Instance Performance](https:\u002F\u002Fdocs.aws.amazon.com\u002FAmazonRDS\u002Flatest\u002FUserGuide\u002FCHAP_Monitoring.html)\n\n7-day metric thresholds (full table in `references\u002Fmetrics-thresholds.md`):\n- `CPUUtilization` avg > 70% → MEDIUM, > 90% → HIGH.\n- `FreeStorageSpace` \u003C 20% allocated → HIGH, \u003C 10% → CRITICAL.\n- `FreeableMemory` \u003C 10% instance class memory → HIGH; sustained `SwapUsage` > 0 → MEDIUM.\n- `DatabaseConnections` max > 80% of `max_connections` parameter → HIGH.\n- `ReadLatency` \u002F `WriteLatency` avg > 20ms (10ms for io1\u002Fio2) → MEDIUM.\n- `BufferCacheHitRatio` (Aurora) \u003C 95% → MEDIUM, \u003C 90% → HIGH.\n- `BinLogDiskUsage` growth without retention bounds → MEDIUM.\n- **Performance Insights** disabled → MEDIUM (free 7-day tier should always be on).\n- **Enhanced Monitoring** disabled or interval > 60s for production → MEDIUM.\n- **Connection pooling**: high connection churn \u002F no RDS Proxy → MEDIUM for serverless \u002F many-client workloads.\n\n### 9.4 Cost Optimization\nRef: [Cost-Optimized Architectures](https:\u002F\u002Fdocs.aws.amazon.com\u002FAmazonRDS\u002Flatest\u002FUserGuide\u002FCHAP_BestPractices.html#CHAP_BestPractices.Optimization)\n\n- **Stopped instances**: `DBInstanceStatus=stopped` (still pays storage) → HIGH.\n- **Previous-generation classes**: `db.m4 \u002F db.r4 \u002F db.t2` → MEDIUM.\n- **gp2 → gp3**: any `StorageType=gp2` → MEDIUM (≈20% cheaper, equal\u002Fbetter performance).\n- **Over-provisioned IOPS**: `io1`\u002F`io2` with avg `IOPS used \u002F IOPS provisioned \u003C 50%` → MEDIUM.\n- **Reserved Instance coverage**: production On-Demand without RIs → MEDIUM, with estimated savings.\n- **Storage autoscaling**: `MaxAllocatedStorage` not set → LOW, increases stockout risk.\n- **Idle databases**: `DatabaseConnections` 7-day max \u003C 5 + `CPUUtilization` 7-day avg \u003C 5% → MEDIUM (candidate to stop \u002F delete).\n- **Manual snapshots**: many > 90 days old → LOW (review retention).\n- **Cost-allocation tags**: missing `Environment`, `Owner`, `CostCenter` → LOW.\n- **Graviton migration**: x86 (`db.r5`, `db.m5`, `db.t3`) where Graviton is supported → MEDIUM (~20% saving).\n\n### 9.5 Operational Excellence\nRef: [Monitoring Amazon RDS](https:\u002F\u002Fdocs.aws.amazon.com\u002FAmazonRDS\u002Flatest\u002FUserGuide\u002FCHAP_Monitoring.html)\n\n- **CloudWatch alarms**: missing alarms on `CPUUtilization`, `FreeStorageSpace`, `DatabaseConnections`, `FreeableMemory`, `ReplicaLag` → MEDIUM each.\n- **Event subscriptions**: no `rds.DescribeEventSubscriptions` covering this resource → MEDIUM.\n- **Engine version currency**: minor version not latest available → LOW; major version EOL\u002Fwithin 6 months → HIGH.\n- **Log exports**: engine error \u002F slow \u002F audit logs not exported to CloudWatch → MEDIUM.\n- **Maintenance window**: not configured \u002F overlaps business hours → LOW.\n- **Tagging**: missing operational tags (`Environment`, `Owner`, `Runbook`, `OnCall`) → LOW.\n- **Drift**: parameters changed in default parameter group (impossible by design — use as a flag for non-default usage check).\n\n## Step 10: Generate Report\n\nGenerate a separate shareable report artifact for **each resource** reviewed.\n\nArtifact naming: `rds-review-\u003Cresource-name>-\u003CYYYY-MM-DD>.md`\nExample: `rds-review-prod-aurora-2026-04-29.md`\n\nFor each resource, create the artifact as a Markdown document with:\n\n### Report Header\n```\n# RDS \u002F Aurora Operational Review — \u003Cresource-name>\nAccount: \u003Caccount-id> | Region: \u003Cregion> | Date: \u003CYYYY-MM-DD>\nEngine: \u003Cengine> \u003CengineVersion> | Class: \u003CdbInstanceClass \u002F serverlessV2 ACU> | Multi-AZ: \u003Cyes\u002Fno>\n```\n\n### Executive Summary\n- Health: ✅ HEALTHY \u002F ⚠️ WARNINGS \u002F ❌ CRITICAL\n- Finding counts by severity\n- Top 3 critical\u002Fhigh items\n\n### Configuration Snapshot\n| Item | Value |\n| Engine \u002F version | … |\n| Storage | type, allocated, max, IOPS, throughput, encrypted (KMS) |\n| Network | VPC, subnet group, AZs, public access, security groups |\n| Backup | retention, window, automated, deletion protection |\n| HA \u002F DR | Multi-AZ, replicas, Global DB |\n| Auth | IAM auth, Secrets Manager, master user |\n| Observability | Performance Insights, Enhanced Monitoring, log exports |\n\n### Findings by Pillar\nFor each of Security, Reliability, Performance, Cost, Operational Excellence:\n\n| # | Finding | Severity | Current State | Recommendation |\n\n### CloudWatch Metrics (7-Day)\n| Metric | Stat | 7-Day Avg | 7-Day Max \u002F Min | Status | Finding |\n\n### Log Pattern Analysis (7-Day)\n| Pattern | Occurrences | Severity | Finding |\n\n### RDS Events (14-Day)\nNotable events (failovers, restarts, low-storage, OOM, maintenance) with timestamps.\n\n### Pending Maintenance\nList from `rds.DescribePendingMaintenanceActions` with action type, target window, age.\n\n### Engine Version\nCurrent vs latest minor \u002F latest major. Flag EOL.\n\n### Cost Summary\n- Latest-month estimated cost for this resource (proportional split, with \"estimated\" badge)\n- RI coverage status\n- Top 3 cost-optimization opportunities (linked to findings)\n\n### Priority Matrix\n| # | Finding | Severity | Pillar | Effort | Impact |\n\n### Next Steps\n- Immediate (CRITICAL\u002FHIGH — 7 days)\n- Short-term (MEDIUM — 30 days)\n- Long-term (LOW — 90 days)\n\n### Appendix — Reference Links\n- [Amazon RDS Best Practices](https:\u002F\u002Fdocs.aws.amazon.com\u002FAmazonRDS\u002Flatest\u002FUserGuide\u002FCHAP_BestPractices.html)\n- [Amazon Aurora Best Practices](https:\u002F\u002Fdocs.aws.amazon.com\u002FAmazonRDS\u002Flatest\u002FAuroraUserGuide\u002FCHAP_BestPractices.html)\n- [Monitoring RDS](https:\u002F\u002Fdocs.aws.amazon.com\u002FAmazonRDS\u002Flatest\u002FUserGuide\u002FCHAP_Monitoring.html)\n- [Performance Insights](https:\u002F\u002Fdocs.aws.amazon.com\u002FAmazonRDS\u002Flatest\u002FUserGuide\u002FUSER_PerfInsights.html)\n- [Encrypting RDS Resources](https:\u002F\u002Fdocs.aws.amazon.com\u002FAmazonRDS\u002Flatest\u002FUserGuide\u002FOverview.Encryption.html)\n- [Multi-AZ DB Instance Deployments](https:\u002F\u002Fdocs.aws.amazon.com\u002FAmazonRDS\u002Flatest\u002FUserGuide\u002FConcepts.MultiAZ.html)\n- [Aurora Global Database](https:\u002F\u002Fdocs.aws.amazon.com\u002FAmazonRDS\u002Flatest\u002FAuroraUserGuide\u002Faurora-global-database.html)\n- [RDS Proxy](https:\u002F\u002Fdocs.aws.amazon.com\u002FAmazonRDS\u002Flatest\u002FUserGuide\u002Frds-proxy.html)\n- [Well-Architected Framework](https:\u002F\u002Fdocs.aws.amazon.com\u002Fwellarchitected\u002Flatest\u002Fframework\u002Fwelcome.html)\n\n## Severity Definitions\n\n| Severity | Definition | SLA |\n|----------|------------|-----|\n| CRITICAL | Immediate risk to availability, security, or data integrity | Fix within 24–48 hours |\n| HIGH | Significant gap that could lead to incidents | Fix within 1 week |\n| MEDIUM | Notable improvement opportunity | Plan within 30 days |\n| LOW | Minor optimization or hardening | Address when convenient |\n| INFO | Observation, no action required | N\u002FA |\n\n## Engine-Specific Considerations\n\n- **MySQL \u002F MariaDB** — `innodb_buffer_pool_size`, `max_connections`, slow query log,\n  binlog retention, deprecated `query_cache_type` on 8.0+.\n- **PostgreSQL** — `shared_buffers`, `work_mem`, autovacuum, `pg_stat_statements`,\n  `log_min_duration_statement`, replication slots.\n- **Oracle** — BYOL tracking, SGA\u002FPGA sizing, AWR, tablespace autoextend.\n- **SQL Server** — tempdb file count (1 per vCPU up to 8), MAXDOP, cost threshold for\n  parallelism, Always On AGs vs Multi-AZ.\n- **Aurora** — Serverless v2 ACU floor\u002Fceiling, Global Database for DR, fast clones,\n  Backtrack (MySQL only), cluster cache management.\n\n## Known API Quirks (recorded so the agent doesn't trip on them)\n\n- `rds.ListTagsForResource` — parameter is `ResourceName`, **value is the resource ARN**.\n- `rds.DescribeEvents` — `Duration` is in **minutes** (20160 = 14 days).\n- `applicationautoscaling.DescribeScalableTargets` — `ServiceNamespace=\"rds\"` covers Aurora replica autoscaling.\n- `logs.DescribeLogGroups` prefix differs:\n  - Instances: `\u002Faws\u002Frds\u002Finstance\u002F\u003Cid>\u002F`\n  - Aurora clusters: `\u002Faws\u002Frds\u002Fcluster\u002F\u003Cid>\u002F`\n- Some Aurora metrics are cluster-only (`AuroraReplicaLag`, `BufferCacheHitRatio`,\n  `VolumeReadIOPs`), others are instance-only (`FreeableMemory`, `CPUUtilization` per\n  member). 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8.0+.",{"type":65,"tag":154,"props":2961,"children":2962},{},[2963,2968,2969,2975,2976,2982,2984,2990,2991,2997],{"type":65,"tag":113,"props":2964,"children":2965},{},[2966],{"type":71,"value":2967},"PostgreSQL",{"type":71,"value":2937},{"type":65,"tag":121,"props":2970,"children":2972},{"className":2971},[],[2973],{"type":71,"value":2974},"shared_buffers",{"type":71,"value":1175},{"type":65,"tag":121,"props":2977,"children":2979},{"className":2978},[],[2980],{"type":71,"value":2981},"work_mem",{"type":71,"value":2983},", autovacuum, ",{"type":65,"tag":121,"props":2985,"children":2987},{"className":2986},[],[2988],{"type":71,"value":2989},"pg_stat_statements",{"type":71,"value":1194},{"type":65,"tag":121,"props":2992,"children":2994},{"className":2993},[],[2995],{"type":71,"value":2996},"log_min_duration_statement",{"type":71,"value":2998},", replication slots.",{"type":65,"tag":154,"props":3000,"children":3001},{},[3002,3007],{"type":65,"tag":113,"props":3003,"children":3004},{},[3005],{"type":71,"value":3006},"Oracle",{"type":71,"value":3008}," — BYOL tracking, SGA\u002FPGA sizing, AWR, tablespace autoextend.",{"type":65,"tag":154,"props":3010,"children":3011},{},[3012,3017],{"type":65,"tag":113,"props":3013,"children":3014},{},[3015],{"type":71,"value":3016},"SQL Server",{"type":71,"value":3018}," — tempdb file count (1 per vCPU up to 8), MAXDOP, cost threshold for\nparallelism, Always On AGs vs Multi-AZ.",{"type":65,"tag":154,"props":3020,"children":3021},{},[3022,3026],{"type":65,"tag":113,"props":3023,"children":3024},{},[3025],{"type":71,"value":104},{"type":71,"value":3027}," — Serverless v2 ACU floor\u002Fceiling, Global Database for DR, fast clones,\nBacktrack (MySQL only), cluster cache management.",{"type":65,"tag":138,"props":3029,"children":3031},{"id":3030},"known-api-quirks-recorded-so-the-agent-doesnt-trip-on-them",[3032],{"type":71,"value":3033},"Known API Quirks (recorded so the agent doesn't trip on them)",{"type":65,"tag":150,"props":3035,"children":3036},{},[3037,3059,3083,3101,3135,3172],{"type":65,"tag":154,"props":3038,"children":3039},{},[3040,3045,3047,3052,3053,3058],{"type":65,"tag":121,"props":3041,"children":3043},{"className":3042},[],[3044],{"type":71,"value":294},{"type":71,"value":3046}," — parameter is ",{"type":65,"tag":121,"props":3048,"children":3050},{"className":3049},[],[3051],{"type":71,"value":302},{"type":71,"value":1175},{"type":65,"tag":113,"props":3054,"children":3055},{},[3056],{"type":71,"value":3057},"value is the resource ARN",{"type":71,"value":1567},{"type":65,"tag":154,"props":3060,"children":3061},{},[3062,3067,3068,3074,3076,3081],{"type":65,"tag":121,"props":3063,"children":3065},{"className":3064},[],[3066],{"type":71,"value":1493},{"type":71,"value":2937},{"type":65,"tag":121,"props":3069,"children":3071},{"className":3070},[],[3072],{"type":71,"value":3073},"Duration",{"type":71,"value":3075}," is in ",{"type":65,"tag":113,"props":3077,"children":3078},{},[3079],{"type":71,"value":3080},"minutes",{"type":71,"value":3082}," (20160 = 14 days).",{"type":65,"tag":154,"props":3084,"children":3085},{},[3086,3092,3093,3099],{"type":65,"tag":121,"props":3087,"children":3089},{"className":3088},[],[3090],{"type":71,"value":3091},"applicationautoscaling.DescribeScalableTargets",{"type":71,"value":2937},{"type":65,"tag":121,"props":3094,"children":3096},{"className":3095},[],[3097],{"type":71,"value":3098},"ServiceNamespace=\"rds\"",{"type":71,"value":3100}," covers Aurora replica autoscaling.",{"type":65,"tag":154,"props":3102,"children":3103},{},[3104,3109,3111],{"type":65,"tag":121,"props":3105,"children":3107},{"className":3106},[],[3108],{"type":71,"value":367},{"type":71,"value":3110}," prefix differs:\n",{"type":65,"tag":150,"props":3112,"children":3113},{},[3114,3124],{"type":65,"tag":154,"props":3115,"children":3116},{},[3117,3118],{"type":71,"value":377},{"type":65,"tag":121,"props":3119,"children":3121},{"className":3120},[],[3122],{"type":71,"value":3123},"\u002Faws\u002Frds\u002Finstance\u002F\u003Cid>\u002F",{"type":65,"tag":154,"props":3125,"children":3126},{},[3127,3129],{"type":71,"value":3128},"Aurora clusters: ",{"type":65,"tag":121,"props":3130,"children":3132},{"className":3131},[],[3133],{"type":71,"value":3134},"\u002Faws\u002Frds\u002Fcluster\u002F\u003Cid>\u002F",{"type":65,"tag":154,"props":3136,"children":3137},{},[3138,3140,3145,3146,3151,3152,3157,3159,3164,3165,3170],{"type":71,"value":3139},"Some Aurora metrics are cluster-only (",{"type":65,"tag":121,"props":3141,"children":3143},{"className":3142},[],[3144],{"type":71,"value":955},{"type":71,"value":1175},{"type":65,"tag":121,"props":3147,"children":3149},{"className":3148},[],[3150],{"type":71,"value":981},{"type":71,"value":1194},{"type":65,"tag":121,"props":3153,"children":3155},{"className":3154},[],[3156],{"type":71,"value":1077},{"type":71,"value":3158},"), others are instance-only (",{"type":65,"tag":121,"props":3160,"children":3162},{"className":3161},[],[3163],{"type":71,"value":539},{"type":71,"value":1175},{"type":65,"tag":121,"props":3166,"children":3168},{"className":3167},[],[3169],{"type":71,"value":512},{"type":71,"value":3171}," per\nmember). Query the right dimension or both.",{"type":65,"tag":154,"props":3173,"children":3174},{},[3175,3181,3183,3189,3191,3197],{"type":65,"tag":121,"props":3176,"children":3178},{"className":3177},[],[3179],{"type":71,"value":3180},"rds.DescribeDBSnapshots",{"type":71,"value":3182}," requires pagination for accounts with many snapshots —\nuse ",{"type":65,"tag":121,"props":3184,"children":3186},{"className":3185},[],[3187],{"type":71,"value":3188},"MaxRecords",{"type":71,"value":3190}," and ",{"type":65,"tag":121,"props":3192,"children":3194},{"className":3193},[],[3195],{"type":71,"value":3196},"Marker",{"type":71,"value":1567},{"type":65,"tag":138,"props":3199,"children":3201},{"id":3200},"data-source-boundaries",[3202],{"type":71,"value":3203},"Data Source Boundaries",{"type":65,"tag":74,"props":3205,"children":3206},{},[3207,3209,3214],{"type":71,"value":3208},"This skill explicitly does ",{"type":65,"tag":113,"props":3210,"children":3211},{},[3212],{"type":71,"value":3213},"not",{"type":71,"value":3215}," call:",{"type":65,"tag":150,"props":3217,"children":3218},{},[3219,3231,3241],{"type":65,"tag":154,"props":3220,"children":3221},{},[3222,3224,3229],{"type":71,"value":3223},"Kubernetes API \u002F ",{"type":65,"tag":121,"props":3225,"children":3227},{"className":3226},[],[3228],{"type":71,"value":126},{"type":71,"value":3230}," MCP — RDS is fully managed; no cluster API exists.",{"type":65,"tag":154,"props":3232,"children":3233},{},[3234,3239],{"type":65,"tag":121,"props":3235,"children":3237},{"className":3236},[],[3238],{"type":71,"value":134},{"type":71,"value":3240}," MCP — outside scope.",{"type":65,"tag":154,"props":3242,"children":3243},{},[3244],{"type":71,"value":3245},"Dante or any non-AWS scripts — keep the skill self-contained on the AWS DevOps Agent's primary cloud-source IAM role.",{"type":65,"tag":74,"props":3247,"children":3248},{},[3249,3251,3257,3259,3265,3267,3273,3275,3281],{"type":71,"value":3250},"If a customer needs deeper SQL-level analysis (e.g. Performance Insights ",{"type":65,"tag":121,"props":3252,"children":3254},{"className":3253},[],[3255],{"type":71,"value":3256},"db.load",{"type":71,"value":3258},"\nbreakdowns, top SQL by wait event), call ",{"type":65,"tag":121,"props":3260,"children":3262},{"className":3261},[],[3263],{"type":71,"value":3264},"pi.GetResourceMetrics",{"type":71,"value":3266}," and\n",{"type":65,"tag":121,"props":3268,"children":3270},{"className":3269},[],[3271],{"type":71,"value":3272},"pi.DescribeDimensionKeys",{"type":71,"value":3274}," directly — both are in the same ",{"type":65,"tag":121,"props":3276,"children":3278},{"className":3277},[],[3279],{"type":71,"value":3280},"rds",{"type":71,"value":3282}," permission family\nwhen Performance Insights is enabled.",{"items":3284,"total":3456},[3285,3303,3318,3333,3348,3358,3373,3389,3403,3418,3430,3442],{"slug":3286,"name":3286,"fn":3287,"description":3288,"org":3289,"tags":3290,"stars":3300,"repoUrl":3301,"updatedAt":3302},"agents-build","add capabilities to existing agent projects","Use to extend an existing agent project with memory, app integration, VPC, multi-agent, migration, model, browser, code interpreter, payments, or resource removal. Triggers: \"add memory\", \"remember across sessions\", \"call agent from app\", \"invoke agent from code\", \"agent auth\", \"streaming\", \"VPC\", \"VPC connectivity\", \"can't reach from VPC\", \"multi-agent\", \"A2A\", \"A2A auth\", \"orchestrator not delegating\", \"specialist not called\", \"migrate Bedrock Agent\", \"migration issue\", \"change model\", \"browser tool\", \"code interpreter\", \"delete agent\", \"tear down\", \"agentcore remove\", \"cross-account memory\", \"add payments capability to my agent\", \"wire payments plugin\", \"integrate x402 payments with the agent I'm building\", \"add MPP payments\", \"Machine Payments Protocol\". External APIs via Gateway: use agents-connect. New project: use agents-get-started. CLI\u002Fdev-server errors: use agents-debug. Runtime x402\u002FMPP payments: use agents-pay. Migration-specific Strands vs LangGraph routes here.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3291,3293,3296,3297],{"name":3292,"slug":32,"type":15},"Agents",{"name":3294,"slug":3295,"type":15},"Automation","automation",{"name":23,"slug":8,"type":15},{"name":3298,"slug":3299,"type":15},"Engineering","engineering",1822,"https:\u002F\u002Fgithub.com\u002Faws\u002Fagent-toolkit-for-aws","2026-08-20T03:27:06.137661",{"slug":3304,"name":3304,"fn":3305,"description":3306,"org":3307,"tags":3308,"stars":3300,"repoUrl":3301,"updatedAt":3317},"agents-connect","connect agents to external services","Use when connecting your agent to external APIs, tools, or services via Gateway, or restricting tool access with Cedar policies. Handles gateway setup, target types, outbound auth (OAuth, API key, IAM), credentials, and Cedar policy authoring. Triggers on: \"connect to API\", \"add gateway\", \"connect to MCP server\", \"Lambda tools\", \"OpenAPI\", \"gateway target\", \"Cedar policy\", \"restrict tools\", \"policy engine\", \"gateway auth error\", \"store API key\", \"outbound credential\", \"env var API key\", \"API key None after deploy\", \"credential not available after deploy\", \"should this be a gateway target\", \"give my agent tools\", \"add tools to agent\". Not for inbound auth (who can call your agent) — use agents-harden. Not for debugging agent behavior — use agents-debug. Not for VPC networking errors (agent can't reach APIs due to VPC) — use agents-build. Not for creating or hosting a new MCP server project — use agents-get-started.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3309,3310,3313,3316],{"name":3292,"slug":32,"type":15},{"name":3311,"slug":3312,"type":15},"API Development","api-development",{"name":3314,"slug":3315,"type":15},"Authentication","authentication",{"name":23,"slug":8,"type":15},"2026-07-16T06:00:38.866147",{"slug":3319,"name":3319,"fn":3320,"description":3321,"org":3322,"tags":3323,"stars":3300,"repoUrl":3301,"updatedAt":3332},"agents-debug","debug agent and environment issues","Use when your agent or environment is broken — wrong answers, errors, timeouts, tool failures, or CLI issues. Reads traces and logs to diagnose root causes. Also checks prerequisites when the CLI itself isn't working. Triggers on: \"agent not working\", \"wrong answer\", \"agent error\", \"tool call failing\", \"debug agent\", \"check logs\", \"read traces\", \"broken\", \"500 error\", \"424 error\", \"model access denied\", \"command not found\", \"stuck in DELETING\", \"maxVms exceeded\", \"cold start diagnosis\", \"cold start slow\", \"agentcore create error\", \"create failed\", \"exit code 7\", \"connection refused local dev\". Not for deploy failures — use agents-deploy. Not for performance tuning without errors — use agents-optimize. Not for VPC configuration — use agents-build. Not for observability setup or missing logs — use agents-optimize.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3324,3325,3326,3329],{"name":3292,"slug":32,"type":15},{"name":23,"slug":8,"type":15},{"name":3327,"slug":3328,"type":15},"Debugging","debugging",{"name":3330,"slug":3331,"type":15},"Observability","observability","2026-07-16T06:00:44.679093",{"slug":3334,"name":3334,"fn":3335,"description":3336,"org":3337,"tags":3338,"stars":3300,"repoUrl":3301,"updatedAt":3347},"agents-deploy","deploy AI agents to AWS","Use when deploying your agent to AWS, or when a deploy has failed. Handles pre-flight validation, CDK\u002FIAM\u002Fquota error diagnosis, version management, rollback, and canary deployments. Triggers on: \"deploy my agent\", \"agentcore deploy\", \"deploy failed\", \"CDK error\", \"rollback\", \"canary deploy\", \"pin version\", \"redeploy\", \"deploy stuck\". Not for production hardening — use agents-harden. Not for adding capabilities before deploy — use agents-build or agents-connect. Not for VPC configuration errors — use agents-build.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3339,3340,3341,3344],{"name":3292,"slug":32,"type":15},{"name":23,"slug":8,"type":15},{"name":3342,"slug":3343,"type":15},"CI\u002FCD","ci-cd",{"name":3345,"slug":3346,"type":15},"Deployment","deployment","2026-07-12T08:42:55.059577",{"slug":3349,"name":3349,"fn":3350,"description":3351,"org":3352,"tags":3353,"stars":3300,"repoUrl":3301,"updatedAt":3357},"agents-get-started","scaffold and deploy new agent projects","Use when a developer wants to create a new agent project or get started with AgentCore. Handles framework selection, project scaffolding, first deploy, and first invocation. Triggers on: \"build an agent\", \"create an agent\", \"get started\", \"new project\", \"agentcore create\", \"which framework\", \"Strands vs LangGraph\", \"hello world agent\", \"first agent\", \"create MCP server\", \"host MCP server\", \"agentcore dev\", \"dev server\", \"what port\", \"local development\". Not for adding capabilities to existing projects — use agents-build or agents-connect. Strands vs LangGraph in a migration context routes to agents-build, not here. Connecting to an existing MCP server routes to agents-connect, not here.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3354,3355,3356],{"name":3292,"slug":32,"type":15},{"name":23,"slug":8,"type":15},{"name":3345,"slug":3346,"type":15},"2026-07-12T08:42:51.963247",{"slug":3359,"name":3359,"fn":3360,"description":3361,"org":3362,"tags":3363,"stars":3300,"repoUrl":3301,"updatedAt":3372},"agents-harden","harden agents for production","Use when preparing your agent for production — IAM scoping, inbound auth (JWT, SigV4), secrets management, cold start optimization, session lifecycle, rate limiting, input validation, and quota guidance. Triggers on: \"production checklist\", \"harden agent\", \"production ready\", \"secure agent\", \"inbound auth\", \"going live\", \"cold start optimization\", \"session lifecycle\", \"StopRuntimeSession\", \"quota\", \"throttling\", \"maxVms\", \"rate limit\", \"security audit of outbound API calls\", \"gateway target audit for production\", \"restrict who can call\", \"lock down endpoint\", \"only our app can call\". Not for Cedar tool-restriction policies — use agents-connect. Not for quality measurement — use agents-optimize. Not for outbound credential storage or API key wiring — use agents-connect. Not for A2A agent-to-agent auth — use agents-build. Cold start observation and diagnosis (not optimization) routes to agents-debug.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3364,3365,3366,3369],{"name":3292,"slug":32,"type":15},{"name":23,"slug":8,"type":15},{"name":3367,"slug":3368,"type":15},"Best Practices","best-practices",{"name":3370,"slug":3371,"type":15},"Security","security","2026-07-16T06:00:42.174705",{"slug":3374,"name":3374,"fn":3375,"description":3376,"org":3377,"tags":3378,"stars":3300,"repoUrl":3301,"updatedAt":3388},"agents-optimize","optimize agent quality and performance","Use when measuring or improving agent quality and performance — set up evaluators, online monitoring, CI\u002FCD quality gates, observability, or cost optimization. Triggers on: \"evaluate my agent\", \"add evaluator\", \"measure quality\", \"quality gate\", \"run evals\", \"agent too slow\", \"why is it slow\", \"reduce latency\", \"set up observability\", \"CloudWatch dashboard\", \"how much does my agent cost\", \"cost optimization\", \"logs not showing up\", \"logs missing\", \"spans not found\", \"eval failing\", \"eval error\", \"dev traces\", \"local traces\", \"agentcore dev traces\", \"traces to CloudWatch\". Not for debugging errors or crashes — use agents-debug. Slow but correct routes here; broken routes to debug.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3379,3380,3381,3384,3385],{"name":3292,"slug":32,"type":15},{"name":23,"slug":8,"type":15},{"name":3382,"slug":3383,"type":15},"Evals","evals",{"name":3330,"slug":3331,"type":15},{"name":3386,"slug":3387,"type":15},"Performance","performance","2026-07-12T08:42:56.488105",{"slug":3390,"name":3390,"fn":3391,"description":3392,"org":3393,"tags":3394,"stars":3300,"repoUrl":3301,"updatedAt":3402},"agents-pay","handle x402 payments for agent tasks","Use when THIS agent needs to pay for x402-protected content at runtime: hitting a paywall mid-task, settling it via AgentCore Payments, and applying operator-defined spend limits. Covers payment setup, policy, session budgets, and troubleshooting. Triggers on: \"my agent hit a 402 while calling an API\", \"a tool call returned 402 Payment Required\", \"my agent needs to pay for x402-protected content\", \"let the agent pay for content, capped at $5 per session\", \"set a spend limit for the agent\", \"ProcessPayment failed\", or \"why did my agent refuse to pay\". Not for BUILDING payment capability for end users, including wallets and framework middleware; use agents-build and references\u002Fpayments.md. For non-paid APIs via Gateway use agents-connect. For inbound auth use agents-harden. For project scaffolding use agents-get-started.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3395,3396,3397,3400],{"name":3292,"slug":32,"type":15},{"name":3294,"slug":3295,"type":15},{"name":3398,"slug":3399,"type":15},"Payments","payments",{"name":3401,"slug":3401,"type":15},"x402","2026-08-10T04:16:31.844309",{"slug":3404,"name":3404,"fn":3405,"description":3406,"org":3407,"tags":3408,"stars":3300,"repoUrl":3301,"updatedAt":3417},"amazon-aurora-mysql","manage Amazon Aurora MySQL clusters","Amazon Aurora MySQL — creates, modifies, and advises on Aurora MySQL clusters specifically (MySQL-compatible engine, Aurora serverless, parallel query). Trigger for Aurora MySQL cluster operations, ACU sizing, I\u002FO-Optimized storage, commitment pricing, or MySQL upgrade planning. Aurora MySQL uses full (VPC-based) configuration — express configuration is PostgreSQL-only. For Aurora PostgreSQL, use amazon-aurora-postgresql instead. Contains safety guardrails and response templates that override defaults.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3409,3410,3411,3414],{"name":23,"slug":8,"type":15},{"name":20,"slug":21,"type":15},{"name":3412,"slug":3413,"type":15},"MySQL","mysql",{"name":3415,"slug":3416,"type":15},"Serverless","serverless","2026-07-12T08:43:13.27939",{"slug":3419,"name":3419,"fn":3420,"description":3421,"org":3422,"tags":3423,"stars":3300,"repoUrl":3301,"updatedAt":3429},"amazon-aurora-postgresql","configure Amazon Aurora PostgreSQL clusters","Amazon Aurora PostgreSQL — creates, modifies, and advises on Aurora PostgreSQL clusters specifically (PostgreSQL-compatible engine, Aurora serverless, express configuration, pgvector, Babelfish). Trigger for Aurora PostgreSQL cluster operations, express-configuration quick-start, ACU sizing, I\u002FO-Optimized storage, commitment pricing, or PostgreSQL upgrade planning. For Aurora MySQL, use amazon-aurora-mysql instead. Contains safety guardrails, express-first routing, and response templates that override defaults.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3424,3425,3426,3428],{"name":23,"slug":8,"type":15},{"name":20,"slug":21,"type":15},{"name":2967,"slug":3427,"type":15},"postgresql",{"name":3415,"slug":3416,"type":15},"2026-07-16T06:00:34.789624",{"slug":3431,"name":3431,"fn":3432,"description":3433,"org":3434,"tags":3435,"stars":3300,"repoUrl":3301,"updatedAt":3441},"amazon-bedrock","build generative AI apps with Amazon Bedrock","Builds generative AI applications on Amazon Bedrock. Covers model invocation (Converse API, InvokeModel), RAG with Knowledge Bases, Bedrock Agents, Guardrails, and AgentCore (including the Harness managed agent loop). Use when invoking models, setting up Knowledge Bases, creating agents, applying guardrails, deploying to AgentCore, migrating\u002Fporting\u002Fconverting a Bedrock Agent (including inline agents) to an AgentCore Harness, troubleshooting Bedrock errors (ThrottlingException, AccessDeniedException), or choosing models (Claude, Llama, Nova, Titan). ALSO USE for prompt caching, quota health checks and throttling diagnosis, cost attribution, migrating between Claude model generations, chunking strategies, API selection (Converse vs InvokeModel), and model selection. Also covers AgentCore Payments setup (x402, microtransactions, Payment Manager, Coinbase CDP, Stripe Privy, 402 Payment Required, paid endpoint). NOT for custom model training, Rekognition, or Comprehend.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3436,3437,3438],{"name":3292,"slug":32,"type":15},{"name":23,"slug":8,"type":15},{"name":3439,"slug":3440,"type":15},"LLM","llm","2026-08-07T04:38:13.03499",{"slug":3443,"name":3443,"fn":3444,"description":3445,"org":3446,"tags":3447,"stars":3300,"repoUrl":3301,"updatedAt":3455},"amazon-braket","run quantum computing workflows on AWS","Runs quantum computing workflows on AWS through Amazon Braket — discovering devices (QPUs and simulators) and their availability, building gate-model circuits and analog Hamiltonian programs, submitting quantum tasks, program sets and hybrid jobs, looking up prices, and capping spend with spending limits. Applies to any request about quantum computing, quantum hardware, quantum simulation, AHS, OpenQASM, or running a quantum algorithm on AWS.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3448,3449,3452],{"name":23,"slug":8,"type":15},{"name":3450,"slug":3451,"type":15},"Quantum Computing","quantum-computing",{"name":3453,"slug":3454,"type":15},"Simulation","simulation","2026-08-20T03:53:19.377174",139,{"items":3458,"total":3555},[3459,3473,3488,3502,3516,3528,3541],{"slug":3460,"name":3460,"fn":3461,"description":3462,"org":3463,"tags":3464,"stars":24,"repoUrl":25,"updatedAt":3472},"aws-health-events","analyze AWS Health events for incidents","ALWAYS use this skill in the beginning of any incident investigation, root cause analysis, or operational troubleshooting. This skill retrieves and analyzes AWS Health events (service issues, scheduled changes, and account notifications) to identify AWS-side events that may explain or correlate with observed operational issues. Activate this skill when investigating an issue and you observe service degradation, elevated error rates, latency spikes, connection failures, throttling, capacity issues, deployment-related failures, alarms, or any operational event or issue. This skill searches AWS Health events by service, time window, region, and status to surface active or recent service disruptions, scheduled maintenance, and account-specific notifications that inform the current investigation. Also activate when a user requests a health event summary or report for their account over a specified time period.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3465,3466,3467,3469],{"name":23,"slug":8,"type":15},{"name":3327,"slug":3328,"type":15},{"name":3468,"slug":41,"type":15},"Incident Response",{"name":3470,"slug":3471,"type":15},"Monitoring","monitoring","2026-08-20T03:53:41.178955",{"slug":3474,"name":3474,"fn":3475,"description":3476,"org":3477,"tags":3478,"stars":24,"repoUrl":25,"updatedAt":3487},"aws-vpc-dns-investigation","investigate VPC DNS resolution issues","Use this skill when a name is not resolving as expected inside a VPC, or before applying a DNS control-plane change. Activate on symptoms such as NXDOMAIN or SERVFAIL from an EC2 instance, a hostname resolving to a public address when a private endpoint was expected, an AWS service endpoint that stopped resolving after a VPC endpoint or Route 53 change, an application reaching the wrong IP, resolution that works from one instance but not another, IPv6 or dualstack resolution differences, a suspected on-premises forwarding or hybrid DNS problem, or a request to check whether enabling private DNS, adding a Resolver rule, associating a private hosted zone, attaching DNS Firewall, or associating a Route 53 Profile would break anything. It drives the aws-vpc-dns-diagnostics MCP server to observe live resolution from inside the subnet and to simulate a proposed change before it is applied.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3479,3480,3481,3484],{"name":23,"slug":8,"type":15},{"name":3327,"slug":3328,"type":15},{"name":3482,"slug":3483,"type":15},"DNS","dns",{"name":3485,"slug":3486,"type":15},"Networking","networking","2026-08-20T03:53:46.027593",{"slug":3489,"name":3489,"fn":3490,"description":3491,"org":3492,"tags":3493,"stars":24,"repoUrl":25,"updatedAt":3501},"crm-production-investigation-guidelines","investigate CRM production incidents","Guidelines for investigating production incidents in the CRM application. Use when triaging any alert or incident involving the CRM REST API, SQS queues, Lambda functions, or Aurora DSQL database in this AWS account. Ensures thorough root cause analysis using AWS-native observability tools.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3494,3495,3498,3499,3500],{"name":23,"slug":8,"type":15},{"name":3496,"slug":3497,"type":15},"CRM","crm",{"name":3327,"slug":3328,"type":15},{"name":3468,"slug":41,"type":15},{"name":13,"slug":14,"type":15},"2026-08-20T03:53:23.532781",{"slug":3503,"name":3503,"fn":3504,"description":3505,"org":3506,"tags":3507,"stars":24,"repoUrl":25,"updatedAt":3515},"database-migration-service-expertise","troubleshoot AWS Database Migration Service","AWS Database Migration Service (DMS) operational review and troubleshooting skill. Conducts best practices validation, health assessments, performance diagnostics, cost optimization reviews, and migration cutover guidance. Triggers on requests like \"DMS review\", \"DMS health check\", \"DMS troubleshooting\", \"migration assessment\", \"DMS best practices audit\", \"DMS cost optimization\", \"replication instance review\", \"CDC latency issue\", or \"DMS task failure\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3508,3509,3510,3511,3514],{"name":23,"slug":8,"type":15},{"name":20,"slug":21,"type":15},{"name":3327,"slug":3328,"type":15},{"name":3512,"slug":3513,"type":15},"Migration","migration",{"name":13,"slug":14,"type":15},"2026-08-20T03:53:23.927999",{"slug":3517,"name":3517,"fn":3518,"description":3519,"org":3520,"tags":3521,"stars":24,"repoUrl":25,"updatedAt":3527},"database-rds-devops","diagnose Aurora MySQL and PostgreSQL databases","Database-level data-plane diagnostics for Aurora MySQL and Aurora PostgreSQL. Executes predefined read-only health check queries via RDS Data API to analyze buffer pool, connections, locks, replication, storage, performance, and index efficiency. Requires the rds-aidba MCP server for database-internal access beyond what CloudWatch and RDS APIs provide.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3522,3523,3524,3525,3526],{"name":23,"slug":8,"type":15},{"name":20,"slug":21,"type":15},{"name":3327,"slug":3328,"type":15},{"name":3412,"slug":3413,"type":15},{"name":2967,"slug":3427,"type":15},"2026-08-20T03:53:41.560344",{"slug":3529,"name":3529,"fn":3530,"description":3531,"org":3532,"tags":3533,"stars":24,"repoUrl":25,"updatedAt":3540},"eks-operation-review","audit Amazon EKS cluster operations","Comprehensive Amazon EKS operational review aligned with the AWS EKS Best Practices Guide. Use this skill when a user asks to review, audit, or assess EKS clusters for best practices compliance, operational readiness, security posture, cost optimization, reliability, networking, scalability, or upgrade readiness. Triggers on requests like \"EKS review\", \"EKS best practices audit\", \"EKS operational assessment\", \"review my EKS cluster\", or \"EKS health check\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3534,3535,3536,3539],{"name":17,"slug":18,"type":15},{"name":23,"slug":8,"type":15},{"name":3537,"slug":3538,"type":15},"Kubernetes","kubernetes",{"name":13,"slug":14,"type":15},"2026-08-20T03:53:20.524374",{"slug":3542,"name":3542,"fn":3543,"description":3544,"org":3545,"tags":3546,"stars":24,"repoUrl":25,"updatedAt":3554},"enrich-with-aws-security-agent","investigate security root causes in AWS","Automatically load this skill when investigating application outages, service degradation, or errors that could have security-related root causes — including unexplained downtime, authentication or authorization failures, injection attacks, data exposure, or suspicious application behavior. Query AWS Security Agent CloudWatch logs to retrieve detailed code review findings with actionable, low-level details (file, line number, vulnerability type) that customers can directly fix.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3547,3550,3551,3552,3553],{"name":3548,"slug":3549,"type":15},"Auth","auth",{"name":23,"slug":8,"type":15},{"name":3327,"slug":3328,"type":15},{"name":3468,"slug":41,"type":15},{"name":3370,"slug":3371,"type":15},"2026-08-20T03:53:23.097965",15]