Claude Skills by cloudthinker-ai

Use when working with Aws Glue — aWS Glue crawler management, ETL job run analysis, Data Catalog exploration, and schema registry management. Covers crawler schedules, job performance metrics, database and table inventory, partition analysis, and connection health.

Use when working with Aws Guardduty — aWS GuardDuty finding analysis, detector management, suppression rule review, and member account oversight. Covers threat detection summary, finding severity distribution, finding type breakdown, trusted IP lists, and organization-wide security posture.

Use when working with Aws Idle Resources — detect unused and idle AWS resources that incur cost without providing value. Covers detached EBS volumes, idle load balancers, unused Elastic IPs, stopped EC2 instances, idle NAT Gateways, old snapshots, and unused ENIs. Includes estimated monthly waste per resource and anti-hallucination rules for safe detection.

Use when working with Aws Lambda — aWS Lambda function analysis, invocation metrics, cold start analysis, layer management, and concurrency tracking. Covers function configuration review, error rate analysis, duration percentiles, provisioned concurrency utilization, and deployment package optimization.

Use when working with Aws Organizations — aWS Organizations account management, OU structure analysis, SCP policy review, and service access control. Covers organizational hierarchy, account inventory, policy inheritance analysis, delegated administrator status, and service control boundary assessment.

Use when working with Aws Pricing — aWS pricing helper for cost queries. ALWAYS use get_aws_cost script for pricing questions. Use when: - User asks about AWS resource costs or pricing - User wants to compare pricing across regions - User needs spot, on-demand, or reserved pricing info Triggers: aws pricing, aws cost, how much does, ec2 price, rds cost, s3 pricing.

Use when working with Aws Rds Deep — aWS RDS deep analysis covering Performance Insights, event subscriptions, proxy management, and global database status. Covers PI counter metrics, wait event analysis, top SQL queries, read replica lag, storage autoscaling, and Aurora-specific diagnostics.

Use when working with Aws Rightsizing — analyze EC2, RDS, EBS, and Lambda resource utilization to identify right-sizing opportunities. Uses CloudWatch metrics with anti-hallucination rules for burstable instances, memory metrics, peak vs average analysis, and estimated monthly savings calculations.

Use when working with Aws S3 — aWS S3 bucket analysis, storage class distribution, lifecycle policies, access patterns, and cost optimization. Covers bucket inventory, object metrics, versioning status, encryption audit, public access analysis, and intelligent tiering evaluation.

Use when working with Aws Secrets Manager — aWS Secrets Manager secret rotation status, access analysis, cost tracking, and lifecycle management. Covers secret inventory, rotation configuration audit, last access tracking, resource policy review, and version management.

Use when working with Aws Ses — aWS SES sending statistics, bounce and complaint rate analysis, identity management, configuration set monitoring, and deliverability tracking. Covers sending quota utilization, suppression list management, DKIM/SPF status, and reputation dashboard metrics.

Use when working with Aws Step Functions — aWS Step Functions execution analysis, state machine management, error tracking, and performance optimization. Covers execution history, failure investigation, state transition metrics, Express vs Standard comparison, and workflow visualization.

Use when working with Aws Systems Manager — aWS Systems Manager parameter store management, session management, patch compliance tracking, and Run Command analysis. Covers parameter inventory, managed instance status, automation execution, maintenance windows, and inventory collection.

Use when working with Aws Transit Gateway — aWS Transit Gateway attachment analysis, route table management, peering configuration, and network topology review. Covers TGW inventory, attachment health, route propagation, VPN connection status, and bandwidth utilization.

Use when working with Aws Waf — aWS WAF web ACL management, rule analysis, traffic metrics, and IP set management. Covers WAF rule group inspection, rate-based rule configuration, managed rule group analysis, logging status, and blocked request investigation.

Use when working with Aws Xray — aWS X-Ray trace analysis, service map generation, fault and error analysis, sampling rule management, and latency investigation. Covers trace summaries, segment analysis, annotation-based filtering, and group configuration.

Use when working with Aws — mANDATORY parallel execution patterns (30x speedup), CloudWatch statistics syntax, Cost Explorer aggregation, output token limits, and common pitfalls.

Use when working with Azure Aks — azure Kubernetes Service (AKS) cluster management, node pool status, addon management, upgrade planning, and health diagnostics via Azure CLI.

Use when working with Azure App Insights — application Insights request performance, dependency tracking, availability tests, smart detection, and failure analysis via Azure CLI and Log Analytics queries.

Use when working with Azure App Service — azure App Service web app health monitoring, deployment slot management, scaling configuration, and application settings analysis via Azure CLI.

Use when working with Azure Blob Storage — azure Blob Storage container analysis, access tier management, lifecycle policies, replication configuration, and storage account health via Azure CLI.

Use when working with Azure Container Apps — azure Container Apps revision management, scaling rules, Dapr integration, ingress configuration, and environment health via Azure CLI.

Use when working with Azure Cosmos Db — azure Cosmos DB throughput analysis, partition key distribution, consistency levels, metrics monitoring, and database management via Azure CLI.

Use when working with Azure Cost Management — azure Cost Management cost analysis, budget tracking, Advisor cost recommendations, export management, and spending trend analysis via Azure CLI.

Use when working with Azure Devops Boards — azure DevOps Boards work item tracking, sprint analysis, burndown metrics, team velocity, and backlog management via Azure DevOps CLI extension.

Use when working with Azure Front Door — azure Front Door routing rules, WAF policy management, health probe configuration, cache management, and CDN analytics via Azure CLI.

Use when working with Azure Functions — azure Functions app analysis, execution metrics, consumption plan monitoring, scaling configuration, and deployment management via Azure CLI.

Use when working with Azure Key Vault — azure Key Vault secret, key, and certificate management, access policy auditing, rotation status, and security configuration via Azure CLI.

Use when working with Azure Logic Apps — azure Logic Apps workflow run analysis, trigger history, connector management, error diagnostics, and workflow definition inspection via Azure CLI.

Use when working with Azure Monitor — azure Monitor metrics querying, Log Analytics workspace management, alert rule configuration, action groups, and diagnostic settings via Azure CLI.

Use when working with Azure Policy — azure Policy compliance assessment, policy and initiative assignment management, remediation task tracking, and definition analysis via Azure CLI.

Use when working with Azure Sql — azure SQL Database DTU/vCore analysis, query performance insights, elastic pool management, geo-replication status, and database health monitoring via Azure CLI.

MANDATORY parallel execution patterns (30x speedup), monitor metrics aggregation, --output tsv formatting, and common pitfalls

REQUIRED helper functions (never raw curl), workspace/repo_slug patterns, suggestion block syntax for code review

Use when working with Gcp Alloydb — google AlloyDB cluster management, instance analysis, query insights, maintenance window configuration, and performance diagnostics via gcloud CLI.

Use when working with Gcp Artifact Registry — google Artifact Registry repository management, vulnerability scanning analysis, cleanup policy configuration, and artifact lifecycle management via gcloud CLI.

Use when working with Gcp Bigquery Deep — google BigQuery job analysis, slot utilization, storage optimization, materialized views, BI Engine capacity, and query performance diagnostics via bq CLI and gcloud.

Use when working with Gcp Cloud Armor — google Cloud Armor security policy management, WAF rule configuration, adaptive protection analysis, and edge security policy management via gcloud CLI.

Use when working with Gcp Cloud Build — google Cloud Build trigger management, build history analysis, worker pool configuration, artifact management, and CI/CD pipeline diagnostics via gcloud CLI.

Use when working with Gcp Cloud Deploy — google Cloud Deploy delivery pipeline management, release tracking, rollout status monitoring, approval workflows, and deployment diagnostics via gcloud CLI.

Use when working with Gcp Cloud Functions — google Cloud Functions management, execution analysis, scaling configuration, event trigger inspection, and runtime diagnostics via gcloud CLI.

Use when working with Gcp Cloud Logging — google Cloud Logging log analysis, log-based metrics, sink management, exclusion filters, and log routing configuration via gcloud CLI.

Use when working with Gcp Cloud Run — google Cloud Run service management, revision traffic splitting, scaling configuration, concurrency tuning, and container diagnostics via gcloud CLI.

Use when working with Gcp Cloud Spanner — google Cloud Spanner instance management, query statistics analysis, hot spot detection, schema analysis, and performance diagnostics via gcloud CLI.

Use when working with Gcp Cloud Storage — google Cloud Storage bucket analysis, lifecycle rule management, access control configuration, transfer service operations, and storage class optimization via gsutil and gcloud CLI.

Use when working with Gcp Cloud Trace — google Cloud Trace latency analysis, trace exploration, sampling configuration, and span diagnostics via gcloud CLI.

Use when working with Gcp Firestore Deep — google Cloud Firestore document and collection analysis, index management, security rules review, usage monitoring, and performance diagnostics via gcloud CLI.

Use when working with Gcp Gke — google Kubernetes Engine cluster operations, node pool management, workload analysis, autopilot configuration, and upgrade planning via gcloud CLI.

Use when working with Gcp Idle Resources — detect unused and idle GCP resources that incur cost without providing value. Covers unattached Persistent Disks, unused external IPs, stopped VMs, idle Cloud NAT, idle load balancers, old snapshots, idle Cloud SQL instances, abandoned GKE node pools, unused VPC connectors, and orphaned Filestore instances. Includes estimated monthly waste per resource and anti-hallucination rules for safe detection.

Analyze Compute Engine VM, Cloud SQL, Persistent Disk, and serverless (Cloud Functions/Cloud Run) utilization to identify right-sizing opportunities. Uses Cloud Monitoring metrics with anti-hallucination rules for E2 shared-core instances, sole-tenant nodes, preemptible/spot VMs, SUD eligibility, peak vs average analysis, CUD-aware savings, and estimated monthly savings calculations.