Claude Skills by cloudthinker-ai

Use when working with Aws Codecommit — aWS CodeCommit repository management and analysis. Covers repository inventory, branch details, pull request status, commit history, approval rules, and trigger configurations. Use when inspecting repositories, reviewing pull requests, auditing branch policies, or analyzing commit activity.

Use when working with Aws Codedeploy — aWS CodeDeploy application and deployment management. Covers applications, deployment groups, deployment history, deployment configurations, instance health, target revisions, and rollback settings. Use when inspecting deployments, debugging failed deployments, reviewing deployment strategies, or auditing deployment group configurations.

Use when working with Aws Codepipeline — aWS CodePipeline CI/CD pipeline management and execution analysis. Covers pipeline inventory, stage and action status, execution history, pipeline triggers, artifact stores, and action type configurations. Use when inspecting pipeline health, debugging failed stages, reviewing execution history, or auditing pipeline configurations.

Use when working with Aws Config Deep — aWS Config deep rule and compliance management. Covers Config rules, conformance packs, aggregators, advanced queries, remediation actions, configuration history, and multi-account compliance dashboards. Use when auditing AWS resource compliance, managing Config rules, reviewing conformance pack results, or querying resource configurations across accounts.

Use when working with Aws Control Tower — aWS Control Tower landing zone and account management. Covers landing zone status, enrolled accounts, guardrails (controls), organizational units, baseline configurations, and drift detection. Use when auditing landing zone health, reviewing guardrail compliance, inspecting account enrollment, or troubleshooting Control Tower drift.

Use when working with Aws Data Pipeline — aWS Data Pipeline workflow management and execution analysis. Covers pipeline inventory, pipeline definitions, execution status, object status, task runner health, and pipeline scheduling. Use when inspecting data pipeline health, debugging failed executions, reviewing pipeline definitions, or auditing pipeline schedules.

Use when working with Aws Documentdb — aWS DocumentDB cluster management and health analysis. Covers cluster inventory, instance status, parameter groups, subnet groups, snapshots, event subscriptions, and performance metrics. Use when inspecting DocumentDB clusters, debugging connectivity issues, reviewing backup configurations, or analyzing cluster performance.

Use when working with Aws Dynamodb Deep — aWS DynamoDB deep-dive management covering table configurations, capacity analysis, GSI/LSI health, auto-scaling policies, streams, backups, contributor insights, and TTL settings. Use when performing deep analysis of DynamoDB tables, optimizing capacity and throughput, debugging throttling, or auditing table configurations beyond basic inventory.

Use when working with Aws Efs — aWS EFS file system management and performance analysis. Covers file system inventory, mount targets, access points, throughput modes, lifecycle policies, replication configurations, and storage metrics. Use when inspecting EFS file systems, debugging mount issues, reviewing performance settings, or optimizing storage costs.

Use when working with Aws Fargate — aWS Fargate task and service analysis covering ECS cluster inventory, Fargate task status, CPU and memory utilization, task definition review, networking configuration, service auto-scaling policies, and container health checks. Use for Fargate-specific workload optimization.

Use when working with Aws Fsx — aWS FSx file system management and health analysis. Covers FSx for Lustre, Windows File Server, NetApp ONTAP, and OpenZFS file systems, volumes, backups, data repository associations, and storage capacity metrics. Use when inspecting FSx file systems, debugging performance issues, reviewing backup configurations, or analyzing storage utilization.

Use when working with Aws Gamelift — aWS GameLift fleet management including game server deployments, fleet scaling, matchmaking configuration, game session monitoring, and player session tracking. Covers fleet health, capacity utilization, matchmaking metrics, and cost analysis.

Use when working with Aws Iam — aWS IAM deep analysis for policy evaluation, role trust relationship review, access advisor data, credential reports, permission boundary inspection, and identity-based vs resource-based policy analysis. Covers IAM users, roles, groups, policies, SCPs, and cross-account access patterns. Read this skill before any IAM operations — it enforces discovery-first patterns and strict read-only safety rules.

Use when working with Aws Inspector — aWS Inspector vulnerability management and finding analysis. Covers Inspector v2 coverage, vulnerability findings, finding summaries, scan configurations, suppression rules, and coverage statistics. Use when auditing vulnerability posture, reviewing Inspector findings, checking scan coverage, or analyzing security vulnerabilities across EC2, ECR, and Lambda resources.

Use when working with Aws Iot Core — aWS IoT Core management including things, thing groups, certificates, policies, rules, topic monitoring, device shadows, and fleet indexing. Covers device connectivity health, message throughput, rule action errors, certificate expiration, and shadow drift analysis.

Use when working with Aws Kinesis — aWS Kinesis stream management, shard analysis, consumer lag monitoring, enhanced fan-out configuration, and throughput analysis.

Use when working with Aws Lambda Deep — deep AWS Lambda analysis covering function inventory, cold start profiling, memory optimization, concurrency patterns, layer dependency auditing, dead letter queue health, event source mappings, and cost estimation. Goes beyond basic metrics to identify optimization opportunities.

Use when working with Aws Organizations Deep — aWS Organizations deep management. Covers organizational unit hierarchy, account management, service control policies (SCPs), tag policies, backup policies, delegated administrators, and organizational service integrations. Use when managing multi-account AWS environments, reviewing SCPs, auditing OU structures, or analyzing organizational policies.

Use when working with Aws Proton — aWS Proton service and environment template management. Covers environment templates, service templates, service instances, pipeline management, component inspection, and template sync configuration. Use when managing Proton environments, deploying services from templates, inspecting provisioned resources, or auditing template versions.

Use when working with Aws Sam — aWS Serverless Application Model (SAM) management. Covers template validation, local testing, build and packaging, deployment orchestration, stack inspection, log tailing, and API Gateway debugging. Use when building serverless applications with SAM, testing locally, deploying Lambda functions, or troubleshooting API Gateway endpoints.

Use when working with Aws Service Catalog — aWS Service Catalog portfolio and product management. Covers portfolio administration, product versioning, provisioned product inspection, launch constraints, tag options, and sharing across accounts. Use when managing self-service IT catalogs, provisioning products, reviewing portfolios, or auditing product usage across an organization.

Use when working with Aws Ses Deep — advanced AWS SES management including sending quotas, identity verification, configuration sets, dedicated IPs, reputation dashboard, suppression list, email receiving rules, and deliverability advisor. Goes beyond basic SES to cover DKIM/DMARC compliance, event publishing, and virtual deliverability manager.

Use when working with Aws Sqs — aWS SQS queue metrics, dead letter queue management, SNS subscription management, message attributes, and queue health monitoring.

Use when working with Aws Sso — aWS IAM Identity Center (SSO) management. Covers SSO instance configuration, permission sets, account assignments, user and group provisioning, session policies, and access auditing. Use when managing single sign-on access to AWS accounts, reviewing permission sets, auditing account assignments, or configuring identity source integration.

Use when working with Azure Boards Deep — deep Azure Boards management covering work items, sprints, backlogs, queries, and team velocity analytics. Use when performing deep audits of Azure DevOps Boards, analyzing sprint health, reviewing backlog grooming, or assessing team capacity and velocity across Azure DevOps projects.

Use when working with Azure Cdn — azure CDN management covering profiles, endpoints, custom domains, caching rules, origin groups, and performance analytics. Supports Microsoft, Verizon, and Akamai CDN providers within Azure. Use when managing Azure CDN endpoints, analyzing cache performance, configuring delivery rules, or troubleshooting content delivery.

Use when working with Azure Container Instances — azure Container Instances management covering container group inventory, container status and restart counts, CPU and memory utilization, networking configuration, log retrieval, and GPU allocation tracking. Use for ACI workload monitoring and troubleshooting.

Use when working with Azure Devops — azure DevOps comprehensive management. Covers pipelines, boards, repositories, artifacts, test plans, work item tracking, and release management. Use when checking pipeline status, managing work items, investigating build failures, or auditing Azure DevOps project configurations.

Use when working with Azure Dns — azure DNS management covering public and private DNS zones, record sets, virtual network links, DNSSEC, and alias records. Use when managing Azure DNS zones, configuring DNS records, setting up private DNS for VNets, managing alias records for Azure resources, or troubleshooting DNS resolution.

Use when working with Azure Entra — azure Entra ID (formerly Azure AD) management for user lifecycle, app registrations, service principals, conditional access policies, sign-in log analysis, and directory role assignments. Covers B2B guest users, enterprise applications, and security configuration review. Read this skill before any Entra ID operations — it enforces discovery-first patterns and strict read-only safety rules.

Use when working with Azure Eventhubs — azure Event Hubs partition analysis, checkpoint management, capture status, consumer group monitoring, and throughput analysis.

Use when working with Azure Functions Deep — deep Azure Functions analysis covering function app inventory, trigger types, execution metrics, scaling behavior, slot deployments, application insights integration, and consumption plan cost tracking. Provides optimization guidance for cold starts and memory usage.

Use when working with Azure Iot Hub — azure IoT Hub management including device registry, device twins, message routing, endpoints, jobs, and IoT Edge deployments. Covers device connectivity status, message throughput, routing health, quota utilization, and Edge module monitoring.

Use when working with Azure Lighthouse — azure Lighthouse delegated resource management. Covers delegation assignments, managed service offers, customer tenant access, cross-tenant resource visibility, role assignments, and delegation auditing. Use when managing multi-tenant Azure environments, reviewing delegated access, auditing cross-tenant permissions, or configuring managed service registrations.

Use when working with Azure Management Groups — azure Management Groups hierarchy and governance management. Covers management group tree structure, subscription placement, policy assignments, RBAC inheritance, compliance status, and governance auditing. Use when managing Azure tenant hierarchy, assigning policies to management groups, reviewing subscription organization, or auditing inherited access controls.

Use when working with Azure Policy Deep — azure Policy deep compliance and governance management. Covers policy definitions, initiatives, assignments, compliance evaluation, exemptions, remediation tasks, custom policies, and regulatory compliance. Use when managing Azure governance at scale, reviewing compliance states, creating custom policies, or troubleshooting policy evaluation results.

Use when working with Azure Resource Manager — azure Resource Manager (ARM) template and deployment management. Covers template validation, deployment operations, resource group inspection, what-if analysis, deployment history, and template spec management. Use when deploying ARM templates, reviewing deployment status, analyzing resource groups, or troubleshooting failed deployments.

Use when working with Backblaze B2 — backblaze B2 cloud storage management via the b2 CLI. Covers buckets, files, lifecycle rules, keys, and usage statistics. Use when managing B2 storage or reviewing bucket configurations and costs.

Use when working with Balena — balena IoT fleet management including applications, devices, releases, services, environment variables, and device diagnostics. Covers fleet deployment status, device connectivity, container health, update progress, and resource utilization across edge devices.

Use when working with Banana Dev — banana.dev ML inference platform management covering model inventory, deployment status, API call history, GPU allocation, scaling configuration, build logs, and latency metrics. Use for comprehensive Banana.dev model deployment assessment and inference performance analysis.

Use when working with Bandwidth — bandwidth communications platform management for voice calls, SMS/MMS messaging, phone number ordering, and 911 services. Use when managing phone number inventory, analyzing message delivery, monitoring call quality, reviewing usage, or troubleshooting Bandwidth messaging and voice issues.

Use when working with Basecamp — basecamp project management covering projects, to-do lists, messages, schedules, and team activity. Use when auditing Basecamp usage, managing to-dos and message boards, analyzing project activity, or reviewing team workload across Basecamp projects.

Use when working with Baselime — baselime serverless observability platform for AWS Lambda, CloudFlare Workers, and Vercel functions. Covers log and trace querying, alert management, service discovery, and performance analysis of serverless workloads. Use when investigating serverless function performance, querying Baselime events, managing alerts, or analyzing cold start and duration metrics.

Use when working with Baserow — baserow open-source database platform management covering workspace organization, database and table inventory, field configuration analysis, view management, webhook monitoring, and user access auditing. Use when reviewing database structures, investigating API integration issues, monitoring webhook deliveries, or auditing workspace permissions.

Use when working with Baseten — baseten ML deployment platform management covering model inventory, deployment status, autoscaling configuration, inference call history, GPU allocation, environment management, and performance metrics. Use for comprehensive Baseten workspace assessment and ML serving optimization.

Use when working with Bazel — bazel build system management. Covers BUILD file analysis, target querying, dependency graphs, remote execution, caching configuration, and build performance profiling. Use when managing Bazel workspaces, debugging build failures, querying targets, or optimizing build performance.

Use when working with Bentoml — bentoML model serving and packaging management. Covers service management, model packaging, deployment status, API testing, Bento building, and runner configuration. Use when packaging ML models for serving, deploying BentoML services, debugging inference issues, or managing model artifacts.

Use when working with Better Stack — better Stack (formerly Logtail) for log search, uptime monitoring, incident management, on-call scheduling, and status page management. Covers log querying, monitor configuration, heartbeat checks, escalation policies, and team management. Use when searching logs, managing uptime monitors, handling incidents, or configuring on-call schedules via Better Stack API.

Use when working with Betteruptime — better Uptime monitoring, status pages, incident management, on-call scheduling, and heartbeat tracking. Covers monitor configuration, response time analysis, incident lifecycle, on-call rotations, and SLA reporting. Use when managing uptime monitors, reviewing incident history, configuring on-call schedules, or analyzing response times in Better Uptime.

Use when working with Bigcommerce — bigCommerce store management including products, orders, customers, channels, shipping, inventory, storefront themes, and webhooks. Covers sales analytics, order fulfillment rates, inventory health, and multi-channel performance comparison.