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Claude Skills by cloudthinker-ai
github.com/cloudthinker-ai988 skills60 installs3,104 views
- Managing HypertraceUse when working with Hypertrace — hypertrace distributed tracing and observability platform for service dependency mapping, trace analysis, API monitoring, and performance analysis. Covers service discovery, endpoint performance, trace querying, span analysis, and API-level observability. Use when investigating distributed traces, analyzing API performance, mapping service dependencies, or reviewing span-level details.Votes: 0GitHub stars: 6
- Managing Ibm CloudUse when working with Ibm Cloud — iBM Cloud infrastructure management via the ibmcloud CLI. Covers VPC instances, Kubernetes clusters, Cloud Foundry apps, databases, object storage, and billing. Use when managing IBM Cloud resources or reviewing infrastructure health.Votes: 0GitHub stars: 6
- Managing IcingaUse when working with Icinga — icinga infrastructure monitoring platform for host and service monitoring, cluster management, alerting, and performance data analysis. Covers host/service status, check result review, notification management, downtime scheduling, and configuration object management via Icinga 2 API. Use when checking monitoring status, investigating alerts, managing downtimes, or querying Icinga objects.Votes: 0GitHub stars: 6
- Managing IftttUse when working with Ifttt — iFTTT automation platform management covering applet inventory, service connection health, activity log monitoring, and usage tracking. Use when auditing applet configurations, investigating trigger or action failures, monitoring service connectivity, or reviewing automation activity history.Votes: 0GitHub stars: 6
- Managing IlertUse when working with Ilert — iLert alerting and incident management covering alert source configuration, on-call scheduling, escalation policies, status page management, heartbeat monitoring, uptime tracking, and notification channel setup. Use when configuring iLert alert sources, managing on-call rotations, setting up status pages, monitoring heartbeats, or analyzing incident response metrics.Votes: 0GitHub stars: 6
- Managing Imperva CdnUse when working with Imperva Cdn — imperva (Incapsula) CDN and application security management covering site configuration, caching rules, WAF policies, DDoS protection, SSL settings, and performance analytics. Use when managing Imperva CDN delivery, analyzing security events, configuring WAF rules, or troubleshooting content delivery and protection settings.Votes: 0GitHub stars: 6
- Managing Incident IoUse when working with Incident Io — incident.io incident lifecycle management, severity tracking, custom fields, status pages, post-incident reviews, and role assignments. Covers incident creation, escalation, follow-up tracking, and analytics. Use when investigating active incidents, reviewing post-mortems, analyzing incident trends, or managing incident workflows in incident.io.Votes: 0GitHub stars: 6
- Managing InfisicalUse when working with Infisical — infisical secrets management, environment configuration, access control, secret versioning, and audit logging. Covers project and workspace management, secret syncing across environments, access policies, secret rotation, and integration status. Use when managing secrets across environments, auditing secret access, comparing environment configs, or reviewing secret history in Infisical.Votes: 0GitHub stars: 6
- Managing InfobloxUse when working with Infoblox — infoblox DDI (DNS, DHCP, IPAM) management covering DNS zones, records, networks, IP address allocation, DHCP scopes, and grid health. Use when managing Infoblox DNS/DHCP infrastructure, auditing IP address usage, troubleshooting DNS resolution, or analyzing network allocation across the Infoblox grid.Votes: 0GitHub stars: 6
- Managing Infracost DeepUse when working with Infracost Deep — advanced Infracost cost estimation and FinOps management. Covers multi-project cost breakdown, diff analysis between branches, CI/CD integration inspection, policy enforcement with OPA/Sentinel, usage-based estimation, cost anomaly detection, and Infracost Cloud dashboard analysis. Use for deep cost analysis, cross-project comparison, policy-driven cost guardrails, or usage file configuration.Votes: 0GitHub stars: 6
- Managing InfracostUse when working with Infracost — infracost Terraform cost estimation and FinOps policy enforcement. Covers cost breakdown by resource, diff analysis between plan changes, CI/CD integration checks, policy validation, and cost forecasting. Use when estimating infrastructure cost impact, reviewing Terraform changes, or enforcing cost guardrails.Votes: 0GitHub stars: 6
- Managing InfuraUse when working with Infura — infura Web3 infrastructure management including project configuration, RPC endpoint health, IPFS gateway, usage statistics, and multi-chain support. Covers request volume monitoring, error tracking, bandwidth usage, and API key security across Ethereum, Polygon, Arbitrum, and other networks.Votes: 0GitHub stars: 6
- Managing InstatusUse when working with Instatus — instatus status page management, component monitoring, incident communication, and subscriber notifications. Covers status page creation, component health tracking, incident updates, scheduled maintenance, and uptime reporting. Use when managing status pages, communicating incidents to users, tracking component uptime, or scheduling maintenance in Instatus.Votes: 0GitHub stars: 6
- Managing Istio DeepUse when working with Istio Deep — advanced Istio service mesh management covering Envoy proxy debugging, Wasm extensions, multi-cluster mesh federation, ambient mesh, advanced traffic policies, rate limiting, circuit breaking, and observability integration. Use for deep Istio troubleshooting, Envoy sidecar debugging, multi-cluster service discovery, or advanced traffic management patterns.Votes: 0GitHub stars: 6
- Managing IstioUse when working with Istio — istio service mesh management for Kubernetes. Covers virtual services, destination rules, gateway configuration, traffic management, mTLS policies, sidecar injection, telemetry, and fault injection. Use when managing service mesh traffic routing, debugging connectivity issues, reviewing mTLS status, or configuring Istio policies.Votes: 0GitHub stars: 6
- Managing IvantiUse when working with Ivanti — ivanti Neurons for ITSM covering service request management, IT asset management, workflow automation, and self-service portal configuration. Use when creating and routing service requests, tracking IT hardware and software assets, configuring automated workflows for common IT tasks, or managing the employee self-service portal and service catalog.Votes: 0GitHub stars: 6
- Managing JeliUse when working with Jeli — jeli incident analysis, narrative-based post-incident reviews, opportunity identification, and learning extraction. Covers incident ingestion from Slack, timeline reconstruction, contributing factor analysis, and organizational learning patterns. Use when reviewing post-incident narratives, identifying systemic patterns, tracking opportunities, or analyzing incident learning in Jeli.Votes: 0GitHub stars: 6
- Managing JenkinsUse when working with Jenkins — jenkins CI/CD pipeline management and monitoring. Covers pipeline execution, build analysis, agent health monitoring, plugin management, queue inspection, and credential auditing. Use when checking build status, investigating failures, managing Jenkins agents, or auditing plugin configurations.Votes: 0GitHub stars: 6
- Managing JestUse when working with Jest — jest testing framework management and analysis. Covers test suite configuration, coverage reporting, snapshot testing review, test result parsing, watch mode configuration, and module mocking analysis. Use when managing Jest test suites, investigating test failures, reviewing code coverage, or analyzing snapshot diffs.Votes: 0GitHub stars: 6
- Managing Jira DeepUse when working with Jira Deep — deep Jira project management covering projects, boards, sprints, issue analytics, velocity tracking, and workflow health. Use when performing deep audits of Jira usage, analyzing sprint velocity, reviewing backlog health, assessing workflow bottlenecks, or generating project health reports across a Jira instance.Votes: 0GitHub stars: 6
- Managing Jira Service ManagementUse when working with Jira Service Management — jira Service Management (JSM) for IT service desk operations including request queues, SLA management, automation rules, knowledge base integration, and customer portal management. Use when managing service desk queues, configuring SLA targets, building automation rules, publishing help center articles, or analyzing service desk performance metrics.Votes: 0GitHub stars: 6
- Managing JumpcloudUse when working with Jumpcloud — jumpCloud directory platform management for user and system management, SSO application configuration, device policy enforcement, group management, and audit event review. Covers LDAP, RADIUS, SSO apps, MDM policies, and system agent status. Read this skill before any JumpCloud operations — it enforces discovery-first patterns and strict read-only safety rules.Votes: 0GitHub stars: 6
- Managing JunitUse when working with Junit — jUnit testing framework management and analysis. Covers test suite configuration, XML report parsing, test runner integration, assertion pattern review, parameterized test analysis, and build tool integration with Maven and Gradle. Use when managing JUnit test suites, investigating test failures, or reviewing Java/Kotlin test configurations.Votes: 0GitHub stars: 6
- Managing JustUse when working with Just — just command runner management. Covers justfile analysis, recipe discovery, variable management, recipe dependencies, and cross-platform configuration. Use when managing justfiles, discovering available recipes, debugging recipe execution, or organizing project commands.Votes: 0GitHub stars: 6
- Managing K8s Argocd DeepUse when working with K8S Argocd Deep — argoCD deep-dive management for advanced GitOps operations. Covers ApplicationSet controllers, multi-cluster sync strategies, notification configurations, resource hook analysis, sync wave ordering, application health aggregation, image updater integration, and RBAC policy auditing. Use when debugging complex sync failures, analyzing multi-cluster deployments, or optimizing ArgoCD performance at scale.Votes: 0GitHub stars: 6
- Managing K8s Cert Manager DeepUse when working with K8S Cert Manager Deep — cert-manager deep-dive management for Kubernetes TLS certificate lifecycle. Covers certificate inventory, issuer health, certificate requests, challenges, orders, ACME configuration, and renewal status. Use when debugging certificate issuance failures, auditing TLS configurations, reviewing issuer setups, or monitoring certificate expiration.Votes: 0GitHub stars: 6
- Managing K8s Crossplane DeepUse when working with K8S Crossplane Deep — crossplane deep-dive management for Kubernetes-native infrastructure provisioning. Covers provider health diagnostics, composition debugging, XRD schema validation, claim lifecycle analysis, managed resource drift detection, usage tracking, and EnvironmentConfig management. Use when debugging complex composition failures, analyzing cross-provider resource dependencies, or optimizing Crossplane performance.Votes: 0GitHub stars: 6
- Managing K8s External DnsUse when working with K8S External Dns — externalDNS management for Kubernetes DNS record automation. Covers ExternalDNS deployment health, DNS record synchronization status, source and provider configurations, domain filters, ownership tracking, and log analysis. Use when debugging DNS record creation failures, auditing DNS configurations, or reviewing ExternalDNS provider setups.Votes: 0GitHub stars: 6
- Managing K8s Flux DeepUse when working with K8S Flux Deep — flux CD deep-dive management for Kubernetes GitOps delivery. Covers GitRepository sources, Kustomization reconciliation, HelmRelease status, HelmRepository health, ImagePolicy automation, notification providers, and multi-tenancy configurations. Use when debugging reconciliation failures, analyzing Flux source health, reviewing Helm release drift, or auditing image automation pipelines.Votes: 0GitHub stars: 6
- Managing K8s Grafana OperatorUse when working with K8S Grafana Operator — grafana Operator management for Kubernetes dashboard and datasource automation. Covers Grafana instances, GrafanaDashboard CRDs, GrafanaDatasource configurations, GrafanaFolder management, and operator health. Use when auditing dashboards, managing datasource configurations, debugging Grafana operator issues, or reviewing Grafana instance settings.Votes: 0GitHub stars: 6
- Managing K8s Hpa VpaUse when working with K8S Hpa Vpa — kubernetes HPA and VPA autoscaling management. Covers HorizontalPodAutoscaler configurations, scaling history, target utilization, current vs desired replicas, VerticalPodAutoscaler recommendations, update modes, and scaling event analysis. Use when debugging autoscaling behavior, reviewing scaling policies, analyzing resource right-sizing, or optimizing autoscaler configurations.Votes: 0GitHub stars: 6
- Managing K8s Loki StackUse when working with K8S Loki Stack — loki stack management for Kubernetes log aggregation. Covers Loki deployment health, Promtail/log agent status, log stream ingestion, storage backend configuration, retention policies, and query performance. Use when debugging log ingestion issues, auditing logging coverage, reviewing Loki storage, or troubleshooting Promtail scrape configs.Votes: 0GitHub stars: 6
- Managing K8s Metrics ServerUse when working with K8S Metrics Server — kubernetes Metrics Server management and resource metrics analysis. Covers Metrics Server deployment health, node and pod resource utilization, top consumers, API availability, and metrics accuracy. Use when debugging HPA scaling issues, reviewing resource utilization, troubleshooting metrics unavailability, or analyzing cluster capacity.Votes: 0GitHub stars: 6
- Managing K8s Network PoliciesUse when working with K8S Network Policies — kubernetes NetworkPolicy management and network segmentation analysis. Covers NetworkPolicy inventory, ingress and egress rules, pod selector coverage, namespace isolation, default deny policies, and policy gap detection. Use when auditing network security, debugging connectivity issues, reviewing network segmentation, or identifying unprotected workloads.Votes: 0GitHub stars: 6
- Managing K8s Pod DisruptionUse when working with K8S Pod Disruption — kubernetes PodDisruptionBudget management and disruption analysis. Covers PDB inventory, allowed disruptions, eviction status, node drain impact, workload protection coverage, and PDB misconfiguration detection. Use when auditing disruption protection, planning node maintenance, debugging stuck evictions, or reviewing PDB coverage across workloads.Votes: 0GitHub stars: 6
- Managing K8s Prometheus OperatorUse when working with K8S Prometheus Operator — prometheus Operator management for Kubernetes monitoring stack. Covers Prometheus instances, ServiceMonitors, PodMonitors, PrometheusRules, Alertmanager configurations, scrape targets, and recording rules. Use when auditing monitoring coverage, debugging scrape failures, reviewing alerting rules, or managing Prometheus operator resources.Votes: 0GitHub stars: 6
- Managing K8s Resource QuotasUse when working with K8S Resource Quotas — kubernetes ResourceQuota and LimitRange management. Covers quota inventory, usage vs limits, LimitRange defaults, namespace resource consumption, quota violations, and capacity planning. Use when auditing resource governance, debugging quota-rejected deployments, reviewing namespace limits, or planning capacity allocation across namespaces.Votes: 0GitHub stars: 6
- Managing K8s Sealed SecretsUse when working with K8S Sealed Secrets — sealed Secrets management for Kubernetes secret encryption. Covers SealedSecret resources, controller health, certificate rotation, key management, decryption status, and secret synchronization. Use when auditing encrypted secrets, debugging decryption failures, reviewing key rotation, or troubleshooting SealedSecret controller issues.Votes: 0GitHub stars: 6
- Managing K8s Velero DeepUse when working with K8S Velero Deep — velero deep-dive management for Kubernetes backup and disaster recovery. Covers backup schedules, backup status, restore operations, backup storage locations, volume snapshot locations, backup item actions, and plugin health. Use when auditing backup coverage, debugging backup failures, reviewing restore operations, or validating disaster recovery configurations.Votes: 0GitHub stars: 6
- Managing KafkaUse when working with Kafka — apache Kafka topic management, consumer group monitoring, partition analysis, broker health, and lag monitoring.Votes: 0GitHub stars: 6
- Managing KanboardUse when working with Kanboard — kanboard project management covering projects, tasks, columns, swimlanes, and productivity analytics. Use when auditing Kanboard usage, managing tasks and projects, analyzing workflow throughput, or reviewing board health across a Kanboard instance.Votes: 0GitHub stars: 6
- Managing KeycdnUse when working with Keycdn — keyCDN management covering zones, zone aliases, cache settings, SSL certificates, and usage analytics. Use when managing KeyCDN zones, analyzing bandwidth and request metrics, configuring cache behavior, managing SSL, or troubleshooting content delivery through KeyCDN's edge network.Votes: 0GitHub stars: 6
- Managing KeycloakUse when working with Keycloak — keycloak identity and access management for realm administration, client configuration, user federation, role mapping, session analysis, and authentication flow review. Covers OpenID Connect, SAML, LDAP federation, and identity brokering. Read this skill before any Keycloak operations — it enforces discovery-first patterns and strict read-only safety rules.Votes: 0GitHub stars: 6
- Managing KeydbUse when working with Keydb — keyDB multi-threaded Redis-compatible datastore management, active replication monitoring, FLASH storage tier analysis, and sub-key expiration inspection. Covers thread configuration, multi-master replication, MVCC diagnostics, and memory-to-flash ratio tuning. Read this skill before any KeyDB operations.Votes: 0GitHub stars: 6
- Managing KlaviyoUse when working with Klaviyo — klaviyo marketing automation platform management including email and SMS campaigns, flows, lists, segments, metrics, and revenue attribution. Covers deliverability monitoring, flow performance, list growth, and A/B testing results.Votes: 0GitHub stars: 6
- Managing KlothoUse when working with Klotho — klotho cloud compiler and infrastructure generation. Covers application compilation, cloud target configuration, generated infrastructure inspection, deployment orchestration, and topology visualization. Use when using Klotho to compile applications to cloud infrastructure, reviewing generated IaC, or deploying to AWS.Votes: 0GitHub stars: 6
- Managing KnockUse when working with Knock — knock notification infrastructure management covering workflows, channels, users, messages, and delivery analytics. Use when monitoring notification delivery, analyzing workflow performance, reviewing channel health, managing notification preferences, or troubleshooting Knock notification issues.Votes: 0GitHub stars: 6
- Managing Kong MeshUse when working with Kong Mesh — kong Mesh service mesh management covering meshes, dataplanes, traffic policies, mesh gateways, mTLS configuration, and observability. Built on Kuma with enterprise features. Use when managing Kong Mesh instances, configuring service-to-service policies, debugging dataplane proxies, or setting up multi-zone mesh deployments.Votes: 0GitHub stars: 6
- Managing KongUse when working with Kong — kong Gateway management - service and route configuration, plugin management, upstream health monitoring, consumer and credential management. Use when managing API gateway infrastructure, configuring rate limiting, authentication, or troubleshooting upstream connectivity.Votes: 0GitHub stars: 6
- Managing KubecostUse when working with Kubecost — kubecost Kubernetes cost monitoring and optimization. Covers namespace cost allocation, workload cost breakdown, efficiency scoring, savings recommendations, cluster cost trends, and budget alerting. Use when analyzing Kubernetes spend, identifying waste, or right-sizing workloads.Votes: 0GitHub stars: 6