
Claude Skills by cloudthinker-ai
github.com/cloudthinker-aiUse when working with Hazelcast — hazelcast cluster management, distributed data structure inspection, partition health monitoring, and near-cache analysis. Covers member discovery, map/cache statistics, WAN replication status, CP subsystem health, and executor service diagnostics. Read this skill before any Hazelcast operations.
Use when working with Heap — heap analytics management — monitor auto-captured events, defined events, user segments, and data health. Use when inspecting autocapture coverage, reviewing defined events, debugging tracking gaps, or auditing data volume.
Use when working with Height — height.app project management covering tasks, lists, workspaces, and team activity analytics. Use when auditing Height workspace usage, managing tasks and lists, analyzing team workload, or reviewing project progress across a Height workspace.
Use when working with Hellosign — helloSign (Dropbox Sign) eSignature platform management covering signature requests, templates, teams, and account analytics. Use when monitoring signature request status, analyzing completion rates, reviewing template usage, managing team members, or troubleshooting HelloSign signing workflows.
Use when working with Helm — helm chart management for Kubernetes deployments. Covers chart installation, upgrade, rollback, release history, repository management, template rendering, dependency resolution, and values inspection. Use when managing Helm releases, debugging chart issues, or reviewing deployment configurations.
Use when working with Here Maps — hERE Maps platform management including project configuration, API key management, usage statistics, service health, and quota monitoring across Geocoding, Routing, Map Tile, and Search APIs. Covers request volume tracking, error analysis, and plan limit monitoring.
Use when working with Heroku — heroku platform management covering app inventory, dyno formation and scaling, add-on usage, release history, config var auditing, domain and SSL status, log drain configuration, and metrics analysis. Use for comprehensive Heroku app health and cost assessment.
Use when working with Hetzner Cloud — hetzner Cloud deep-dive management via the hcloud CLI. Covers server types, pricing, placement groups, certificates, primary IPs, and detailed server metrics. Use for detailed Hetzner Cloud analysis beyond basic server listing.
Use when working with Hetzner — hetzner Cloud and dedicated server management via the hcloud CLI and Hetzner API. Covers servers, volumes, networks, firewalls, load balancers, and snapshots. Use when managing Hetzner infrastructure or checking server health.
Use when working with Hex Pm — hex.pm Elixir/Erlang package registry management. Covers package publishing, dependency resolution, Mix configuration, Hex organization management, and package metadata. Use when managing Hex packages, publishing Elixir/Erlang libraries, resolving Mix dependency conflicts, or auditing package security.
Use when working with Highlight Io — highlight.io full-stack observability platform for session replay, error monitoring, log management, and tracing. Covers error tracking, log querying, session analysis, trace investigation, and alert management. Use when investigating frontend errors, analyzing user sessions, searching application logs, or managing Highlight.io alert configurations.
Use when working with Hightouch — hightouch reverse ETL management — monitor syncs, destinations, models, sources, and sync run health. Use when debugging sync failures, inspecting record delivery, auditing field mappings, or reviewing sync schedules and performance.
Use when working with Honeycomb — honeycomb observability platform for distributed tracing, event-driven analytics, BubbleUp root cause analysis, SLOs, and triggers. Covers querying datasets, analyzing trace spans, investigating latency, managing SLOs, and reviewing trigger alerts. Use when exploring Honeycomb datasets, debugging slow requests, analyzing service dependencies, or managing observability workflows.
Use when working with Hubspot — hubSpot CRM and marketing platform management including contacts, companies, deals, tickets, pipelines, email campaigns, workflows, forms, and analytics. Covers pipeline health, deal velocity, contact engagement, marketing performance, and integration monitoring via the HubSpot API.
Use when working with Huggingface — hugging Face platform management. Covers model hub, datasets, spaces, inference endpoints, tokenizer inspection, and model card analysis. Use when searching for models, managing datasets, deploying inference endpoints, testing model outputs, or auditing Hugging Face organization resources.
Use when working with Hyperproof — hyperproof compliance operations platform for managing controls, evidence, risks, and audit workflows across multiple frameworks. Covers control testing, evidence automation, task management, risk register, and audit preparation. Use when reviewing control compliance, tracking evidence collection, managing compliance tasks, assessing organizational risk, or coordinating audit activities.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.
Use 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.