[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-aws-service-quota-check":3,"mdc-5b0tx1-key":52,"related-org-aws-service-quota-check":3043,"related-repo-aws-service-quota-check":3220},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":24,"repoUrl":25,"updatedAt":26,"license":27,"forks":28,"topics":29,"repo":47,"sourceUrl":50,"mdContent":51},"service-quota-check","check and manage AWS service quotas","Use this skill during any incident investigation, capacity planning, or operational troubleshooting when the issue may be caused by hitting AWS service limits. Activate when you observe throttling errors (ThrottlingException, TooManyRequestsException, LimitExceededException), resource creation failures, capacity-related alarms, or when a recommendation involves provisioning new AWS resources.",{"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},"Monitoring","monitoring",{"name":20,"slug":21,"type":15},"Capacity Planning","capacity-planning",{"name":23,"slug":8,"type":15},"AWS",35,"https:\u002F\u002Fgithub.com\u002Faws\u002Ftools-for-devops-agent","2026-08-20T03:53:19.758649",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\u002Fservice-quota-check","---\nname: service-quota-check\ndescription: Use this skill during any incident investigation, capacity planning, or\n  operational troubleshooting when the issue may be caused by hitting AWS service limits.\n  Activate when you observe throttling errors (ThrottlingException, TooManyRequestsException,\n  LimitExceededException), resource creation failures, capacity-related alarms, or when\n  a recommendation involves provisioning new AWS resources.\nmetadata:\n  author: yuriypr\n  version: \"1.0.0\"\n  aws-devops-agent-skills.agent-types: \"Chat tasks, Incident RCA\"\n  aws-devops-agent-skills.aws-services: \"AWS Service Quotas, Amazon CloudWatch\"\n  aws-devops-agent-skills.technical-domains: \"Operations, Capacity Planning\"\n---\n\n# Service Quota Check\n\nUse this skill to check AWS service quota utilization during investigations and before\nprovisioning new resources. It determines whether a quota is nearing its limit (85%+\nutilization) and takes action: requesting a quota increase via the Service Quotas API\nwhen possible, or recommending a support case when programmatic increases are not supported.\n\n## When to Use This Skill\n\n- An error message indicates throttling or limit exceeded (e.g., `ThrottlingException`,\n  `TooManyRequestsException`, `LimitExceededException`, `ResourceLimitExceeded`).\n- A resource creation or scaling operation fails with capacity errors.\n- An investigation recommendation involves provisioning additional AWS resources\n  (e.g., adding EC2 instances, creating VPCs, adding NAT Gateways, launching RDS instances).\n- Capacity planning or pre-launch readiness checks.\n- Proactive monitoring of quota utilization across services.\n\n## Prerequisites\n\n- The agent must have permissions to call Service Quotas APIs:\n  - `servicequotas:ListServices`\n  - `servicequotas:ListServiceQuotas`\n  - `servicequotas:GetServiceQuota`\n  - `servicequotas:RequestServiceQuotaIncrease`\n  - `servicequotas:ListRequestedServiceQuotaChangeHistory`\n  - `servicequotas:CreateSupportCase`\n- For utilization data via CloudWatch, the agent needs:\n  - `cloudwatch:GetMetricData`\n  - `cloudwatch:GetMetricStatistics`\n- Service Quotas is a regional service. Quotas must be checked in the region\n  where resources are deployed.\n\n---\n\n## Step 1: Identify the Service and Quota Context\n\nDetermine which service and quota to check based on the investigation context:\n\n1. **From error messages** — extract the service name and specific limit mentioned.\n2. **From recommendations** — if the recommendation is to provision resources, identify\n   the service (e.g., EC2, VPC, RDS, Lambda, ELB) and the resource type.\n3. **From alarms** — if a CloudWatch alarm indicates capacity pressure, identify the\n   underlying service.\n\n### Common service codes\n\n| AWS Service | Service Code |\n|-------------|-------------|\n| Amazon EC2 | `ec2` |\n| Amazon VPC | `vpc` |\n| Elastic Load Balancing | `elasticloadbalancing` |\n| Amazon RDS | `rds` |\n| AWS Lambda | `lambda` |\n| Amazon ECS | `ecs` |\n| Amazon EKS | `eks` |\n| Amazon S3 | `s3` |\n| Amazon DynamoDB | `dynamodb` |\n| AWS Fargate | `fargate` |\n| Amazon CloudWatch | `monitoring` |\n| AWS CloudFormation | `cloudformation` |\n| Amazon SQS | `sqs` |\n| Amazon SNS | `sns` |\n| Amazon ElastiCache | `elasticache` |\n| Amazon OpenSearch Service | `es` |\n| Auto Scaling | `autoscaling` |\n\nIf you do not know the service code, use:\n\n```bash\naws service-quotas list-services \\\n  --query \"Services[?contains(ServiceName, '\u003Ckeyword>')]\" \\\n  --region \u003Cregion>\n```\n\n---\n\n## Step 2: Retrieve Quota Value and Utilization\n\n### Get the applied quota value\n\n```bash\naws service-quotas get-service-quota \\\n  --service-code \u003Cservice-code> \\\n  --quota-code \u003Cquota-code> \\\n  --region \u003Cregion>\n```\n\nThe response includes:\n- `Value` — the current quota limit (applied value, or default if no increase was granted)\n- `Adjustable` — whether the quota can be increased\n- `UsageMetric` — CloudWatch metric to check current utilization (if available)\n\n### If you do not know the quota code\n\nList all quotas for the service:\n\n```bash\naws service-quotas list-service-quotas \\\n  --service-code \u003Cservice-code> \\\n  --region \u003Cregion>\n```\n\nFilter by quota name keyword:\n\n```bash\naws service-quotas list-service-quotas \\\n  --service-code \u003Cservice-code> \\\n  --region \u003Cregion> \\\n  --query \"Quotas[?contains(QuotaName, '\u003Ckeyword>')]\"\n```\n\n### Get current utilization via CloudWatch\n\nIf the `UsageMetric` field is present in the quota response, query CloudWatch for actual usage:\n\n```bash\naws cloudwatch get-metric-statistics \\\n  --namespace \"\u003CMetricNamespace>\" \\\n  --metric-name \"\u003CMetricName>\" \\\n  --dimensions \u003CMetricDimensions> \\\n  --start-time \"\u003C15-minutes-ago-ISO8601>\" \\\n  --end-time \"\u003Cnow-ISO8601>\" \\\n  --period 300 \\\n  --statistics \u003CMetricStatisticRecommendation> \\\n  --region \u003Cregion>\n```\n\nThe `UsageMetric` object from the quota response provides all the parameters:\n- `MetricNamespace` — typically `AWS\u002FUsage`\n- `MetricName` — typically `ResourceCount`\n- `MetricDimensions` — service-specific dimensions (e.g., `Class`, `Resource`, `Service`, `Type`)\n- `MetricStatisticRecommendation` — either `Maximum` or `Sum`\n\n### Alternative: count resources directly\n\nIf no `UsageMetric` is available, count resources using the service's Describe\u002FList APIs:\n\n| Service | Command to count resources |\n|---------|---------------------------|\n| EC2 instances | `aws ec2 describe-instances --query \"Reservations[].Instances[] \\| length(@)\"` |\n| VPCs | `aws ec2 describe-vpcs --query \"Vpcs \\| length(@)\"` |\n| NAT Gateways | `aws ec2 describe-nat-gateways --filter Name=state,Values=available --query \"NatGateways \\| length(@)\"` |\n| EIPs | `aws ec2 describe-addresses --query \"Addresses \\| length(@)\"` |\n| RDS instances | `aws rds describe-db-instances --query \"DBInstances \\| length(@)\"` |\n| Lambda functions | `aws lambda list-functions --query \"Functions \\| length(@)\"` |\n| ECS services | `aws ecs list-services --cluster \u003Ccluster> --query \"serviceArns \\| length(@)\"` |\n| ALBs | `aws elbv2 describe-load-balancers --query \"LoadBalancers \\| length(@)\"` |\n\n---\n\n## Step 3: Calculate Utilization and Assess Risk\n\n### Calculate utilization percentage\n\n```\nutilization_pct = (current_usage \u002F quota_value) × 100\n```\n\n### Risk assessment thresholds\n\n| Utilization | Risk Level | Action |\n|------------|------------|--------|\n| \u003C 70% | Low | No action needed. Report current state. |\n| 70% – 84% | Medium | Flag as approaching limit. Monitor closely. |\n| 85% – 94% | High | Recommend quota increase. Proceed to Step 4. |\n| 95% – 100% | Critical | Urgent quota increase required. Proceed to Step 4. |\n| = 100% | Exhausted | Quota is blocking operations. Immediate action required. |\n\n### Present findings\n\nAlways show the user a summary table:\n\n```\n┌─────────────────────────────────────────────────────────────────────┐\n│ Service Quota Check                                                  │\n├─────────────────────────┬───────────┬─────────┬─────────┬───────────┤\n│ Quota Name              │ Limit     │ Used    │ % Used  │ Status    │\n├─────────────────────────┼───────────┼─────────┼─────────┼───────────┤\n│ Running On-Demand (std) │ 1920 vCPU │ 1740    │ 90.6%   │ ⚠️ HIGH   │\n│ VPCs per Region         │ 5         │ 5       │ 100%    │ 🚫 FULL   │\n│ NAT Gateways per AZ    │ 5         │ 3       │ 60%     │ ✅ OK     │\n└─────────────────────────┴───────────┴─────────┴─────────┴───────────┘\n```\n\n---\n\n## Step 4: Request Quota Increase\n\nWhen utilization is at 85% or higher, proceed based on whether the quota is adjustable.\n\n### Decision Tree\n\n```\nIs utilization >= 85%?\n├── NO → Report findings, no action needed\n└── YES → Check \"Adjustable\" field\n    ├── Adjustable = true → Proceed to quota increase request\n    │   ├── Ask user to confirm the increase\n    │   ├── User confirms → Submit request via API (Step 4a)\n    │   └── User declines → Report findings only\n    └── Adjustable = false → Recommend support case (Step 4b)\n```\n\n### Step 4a: Submit Quota Increase Request via API\n\nBefore requesting, determine the desired new value. Use this formula:\n\n```\ndesired_value = current_quota × 1.5   (50% increase over current limit)\n```\n\nIf the quota is already exhausted (100% utilization), recommend:\n\n```\ndesired_value = current_quota × 2.0   (double the current limit)\n```\n\nPresent the recommendation to the user:\n\n> \"The quota **[QuotaName]** is at **[X]%** utilization ([current_usage]\u002F[quota_value]).\n> I recommend increasing it to **[desired_value]**. Shall I submit the quota increase\n> request?\"\n\nIf the user confirms, submit the request:\n\n```bash\naws service-quotas request-service-quota-increase \\\n  --service-code \u003Cservice-code> \\\n  --quota-code \u003Cquota-code> \\\n  --desired-value \u003Cdesired-value> \\\n  --region \u003Cregion>\n```\n\nAfter submitting, check the response:\n- `Status: PENDING` — request submitted successfully. Inform the user that AWS will\n  review the request (typically processed within minutes for auto-approved quotas,\n  or up to a few days for manual review).\n- `Status: CASE_OPENED` — a support case was automatically created.\n\nReport the request ID and status:\n\n> \"Quota increase request submitted successfully.\n> - Request ID: [Id]\n> - Status: [Status]\n> - Desired value: [DesiredValue]\n>\n> You can check the status with:\n> `aws service-quotas get-requested-service-quota-change --request-id \u003CId>`\"\n\n### Step 4b: Recommend Support Case (non-adjustable quotas)\n\nIf the quota cannot be increased via the API (`Adjustable: false`), inform the user:\n\n> \"The quota **[QuotaName]** cannot be increased programmatically via the Service\n> Quotas API. To request an increase, you need to open an AWS Support case.\n>\n> Would you like me to:\n> 1. Open a support case via the Service Quotas API (requires an existing pending\n>    quota increase request)\n> 2. Provide instructions to open a support case manually via the AWS Console\"\n\nIf there is an existing pending request, use:\n\n```bash\naws service-quotas create-support-case \\\n  --request-id \u003Crequest-id> \\\n  --region \u003Cregion>\n```\n\nOtherwise, provide manual instructions:\n\n> \"To request this quota increase:\n> 1. Go to the AWS Support Center: https:\u002F\u002Fconsole.aws.amazon.com\u002Fsupport\u002F\n> 2. Create a new case → Service limit increase\n> 3. Select service: [ServiceName]\n> 4. Select quota: [QuotaName]\n> 5. Specify the new desired value: [desired_value]\n> 6. Provide business justification for the increase\"\n\n---\n\n## Step 5: Check for Pending Requests\n\nBefore submitting a new request, check if there is already a pending increase request:\n\n```bash\naws service-quotas list-requested-service-quota-change-history-by-quota \\\n  --service-code \u003Cservice-code> \\\n  --quota-code \u003Cquota-code> \\\n  --region \u003Cregion> \\\n  --query \"RequestedQuotas[?Status=='PENDING']\"\n```\n\nIf a pending request exists:\n- Report the existing request details (ID, desired value, date submitted)\n- Do NOT submit a duplicate request\n- Offer to create a support case to expedite the existing request if needed\n\n---\n\n## Step 6: Post-Increase Verification\n\nAfter a quota increase is approved, verify the new limit:\n\n```bash\naws service-quotas get-service-quota \\\n  --service-code \u003Cservice-code> \\\n  --quota-code \u003Cquota-code> \\\n  --region \u003Cregion>\n```\n\nConfirm the `Value` field reflects the new limit.\n\n---\n\n## Multi-Quota Check (Bulk Assessment)\n\nWhen a recommendation involves provisioning multiple resource types, or for proactive\ncapacity planning, check all relevant quotas for the service:\n\n```bash\naws service-quotas list-service-quotas \\\n  --service-code \u003Cservice-code> \\\n  --region \u003Cregion>\n```\n\nFor each quota that has a `UsageMetric`, calculate utilization. Report any quotas\nat 70%+ utilization as part of a comprehensive capacity report.\n\n---\n\n## Common Quota Codes Reference\n\nSee [references\u002Fcommon-quota-codes.md](references\u002Fcommon-quota-codes.md) for a table of\nfrequently checked quota codes by service.\n\n---\n\n## Error Handling\n\n| Error | Cause | Resolution |\n|-------|-------|-----------|\n| `NoSuchResourceException` | Quota code does not exist for the service | Use `list-service-quotas` to find the correct code |\n| `TooManyRequestsException` | Service Quotas API is throttling | Wait and retry with exponential backoff |\n| `ResourceAlreadyExistsException` | A pending request already exists | Check existing requests (Step 5) |\n| `QuotaExceededException` | The desired value exceeds the maximum allowed | Reduce the desired value or open a support case |\n| `AccessDeniedException` | Missing IAM permissions | Check that the agent has `servicequotas:*` permissions |\n| `DependencyAccessDeniedException` | Missing permissions on the target service | Verify IAM policies for the target service |\n\n---\n\n## Tips\n\n- **Check the region**: Service quotas are regional. 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Not for creating or hosting a new MCP server project — use agents-get-started.\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[3069,3070,3073,3076],{"name":3052,"slug":32,"type":15},{"name":3071,"slug":3072,"type":15},"API Development","api-development",{"name":3074,"slug":3075,"type":15},"Authentication","authentication",{"name":23,"slug":8,"type":15},"2026-07-16T06:00:38.866147",{"slug":3079,"name":3079,"fn":3080,"description":3081,"org":3082,"tags":3083,"stars":3060,"repoUrl":3061,"updatedAt":3092},"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},[3084,3085,3086,3089],{"name":3052,"slug":32,"type":15},{"name":23,"slug":8,"type":15},{"name":3087,"slug":3088,"type":15},"Debugging","debugging",{"name":3090,"slug":3091,"type":15},"Observability","observability","2026-07-16T06:00:44.679093",{"slug":3094,"name":3094,"fn":3095,"description":3096,"org":3097,"tags":3098,"stars":3060,"repoUrl":3061,"updatedAt":3107},"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},[3099,3100,3101,3104],{"name":3052,"slug":32,"type":15},{"name":23,"slug":8,"type":15},{"name":3102,"slug":3103,"type":15},"CI\u002FCD","ci-cd",{"name":3105,"slug":3106,"type":15},"Deployment","deployment","2026-07-12T08:42:55.059577",{"slug":3109,"name":3109,"fn":3110,"description":3111,"org":3112,"tags":3113,"stars":3060,"repoUrl":3061,"updatedAt":3117},"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},[3114,3115,3116],{"name":3052,"slug":32,"type":15},{"name":23,"slug":8,"type":15},{"name":3105,"slug":3106,"type":15},"2026-07-12T08:42:51.963247",{"slug":3119,"name":3119,"fn":3120,"description":3121,"org":3122,"tags":3123,"stars":3060,"repoUrl":3061,"updatedAt":3132},"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},[3124,3125,3126,3129],{"name":3052,"slug":32,"type":15},{"name":23,"slug":8,"type":15},{"name":3127,"slug":3128,"type":15},"Best Practices","best-practices",{"name":3130,"slug":3131,"type":15},"Security","security","2026-07-16T06:00:42.174705",{"slug":3134,"name":3134,"fn":3135,"description":3136,"org":3137,"tags":3138,"stars":3060,"repoUrl":3061,"updatedAt":3148},"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},[3139,3140,3141,3144,3145],{"name":3052,"slug":32,"type":15},{"name":23,"slug":8,"type":15},{"name":3142,"slug":3143,"type":15},"Evals","evals",{"name":3090,"slug":3091,"type":15},{"name":3146,"slug":3147,"type":15},"Performance","performance","2026-07-12T08:42:56.488105",{"slug":3150,"name":3150,"fn":3151,"description":3152,"org":3153,"tags":3154,"stars":3060,"repoUrl":3061,"updatedAt":3162},"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},[3155,3156,3157,3160],{"name":3052,"slug":32,"type":15},{"name":3054,"slug":3055,"type":15},{"name":3158,"slug":3159,"type":15},"Payments","payments",{"name":3161,"slug":3161,"type":15},"x402","2026-08-10T04:16:31.844309",{"slug":3164,"name":3164,"fn":3165,"description":3166,"org":3167,"tags":3168,"stars":3060,"repoUrl":3061,"updatedAt":3179},"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},[3169,3170,3173,3176],{"name":23,"slug":8,"type":15},{"name":3171,"slug":3172,"type":15},"Database","database",{"name":3174,"slug":3175,"type":15},"MySQL","mysql",{"name":3177,"slug":3178,"type":15},"Serverless","serverless","2026-07-12T08:43:13.27939",{"slug":3181,"name":3181,"fn":3182,"description":3183,"org":3184,"tags":3185,"stars":3060,"repoUrl":3061,"updatedAt":3192},"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},[3186,3187,3188,3191],{"name":23,"slug":8,"type":15},{"name":3171,"slug":3172,"type":15},{"name":3189,"slug":3190,"type":15},"PostgreSQL","postgresql",{"name":3177,"slug":3178,"type":15},"2026-07-16T06:00:34.789624",{"slug":3194,"name":3194,"fn":3195,"description":3196,"org":3197,"tags":3198,"stars":3060,"repoUrl":3061,"updatedAt":3204},"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},[3199,3200,3201],{"name":3052,"slug":32,"type":15},{"name":23,"slug":8,"type":15},{"name":3202,"slug":3203,"type":15},"LLM","llm","2026-08-07T04:38:13.03499",{"slug":3206,"name":3206,"fn":3207,"description":3208,"org":3209,"tags":3210,"stars":3060,"repoUrl":3061,"updatedAt":3218},"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},[3211,3212,3215],{"name":23,"slug":8,"type":15},{"name":3213,"slug":3214,"type":15},"Quantum Computing","quantum-computing",{"name":3216,"slug":3217,"type":15},"Simulation","simulation","2026-08-20T03:53:19.377174",139,{"items":3221,"total":3318},[3222,3234,3249,3263,3277,3289,3304],{"slug":3223,"name":3223,"fn":3224,"description":3225,"org":3226,"tags":3227,"stars":24,"repoUrl":25,"updatedAt":3233},"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},[3228,3229,3230,3232],{"name":23,"slug":8,"type":15},{"name":3087,"slug":3088,"type":15},{"name":3231,"slug":41,"type":15},"Incident Response",{"name":17,"slug":18,"type":15},"2026-08-20T03:53:41.178955",{"slug":3235,"name":3235,"fn":3236,"description":3237,"org":3238,"tags":3239,"stars":24,"repoUrl":25,"updatedAt":3248},"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},[3240,3241,3242,3245],{"name":23,"slug":8,"type":15},{"name":3087,"slug":3088,"type":15},{"name":3243,"slug":3244,"type":15},"DNS","dns",{"name":3246,"slug":3247,"type":15},"Networking","networking","2026-08-20T03:53:46.027593",{"slug":3250,"name":3250,"fn":3251,"description":3252,"org":3253,"tags":3254,"stars":24,"repoUrl":25,"updatedAt":3262},"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},[3255,3256,3259,3260,3261],{"name":23,"slug":8,"type":15},{"name":3257,"slug":3258,"type":15},"CRM","crm",{"name":3087,"slug":3088,"type":15},{"name":3231,"slug":41,"type":15},{"name":13,"slug":14,"type":15},"2026-08-20T03:53:23.532781",{"slug":3264,"name":3264,"fn":3265,"description":3266,"org":3267,"tags":3268,"stars":24,"repoUrl":25,"updatedAt":3276},"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},[3269,3270,3271,3272,3275],{"name":23,"slug":8,"type":15},{"name":3171,"slug":3172,"type":15},{"name":3087,"slug":3088,"type":15},{"name":3273,"slug":3274,"type":15},"Migration","migration",{"name":13,"slug":14,"type":15},"2026-08-20T03:53:23.927999",{"slug":3278,"name":3278,"fn":3279,"description":3280,"org":3281,"tags":3282,"stars":24,"repoUrl":25,"updatedAt":3288},"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},[3283,3284,3285,3286,3287],{"name":23,"slug":8,"type":15},{"name":3171,"slug":3172,"type":15},{"name":3087,"slug":3088,"type":15},{"name":3174,"slug":3175,"type":15},{"name":3189,"slug":3190,"type":15},"2026-08-20T03:53:41.560344",{"slug":3290,"name":3290,"fn":3291,"description":3292,"org":3293,"tags":3294,"stars":24,"repoUrl":25,"updatedAt":3303},"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},[3295,3298,3299,3302],{"name":3296,"slug":3297,"type":15},"Audit","audit",{"name":23,"slug":8,"type":15},{"name":3300,"slug":3301,"type":15},"Kubernetes","kubernetes",{"name":13,"slug":14,"type":15},"2026-08-20T03:53:20.524374",{"slug":3305,"name":3305,"fn":3306,"description":3307,"org":3308,"tags":3309,"stars":24,"repoUrl":25,"updatedAt":3317},"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},[3310,3313,3314,3315,3316],{"name":3311,"slug":3312,"type":15},"Auth","auth",{"name":23,"slug":8,"type":15},{"name":3087,"slug":3088,"type":15},{"name":3231,"slug":41,"type":15},{"name":3130,"slug":3131,"type":15},"2026-08-20T03:53:23.097965",15]