Claude Skills by cloudthinker-ai

Use 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.

Use 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.

Use 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.

Use 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.

Use 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.

Use when working with Kafka — apache Kafka topic management, consumer group monitoring, partition analysis, broker health, and lag monitoring.

Use 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.

Use 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.

Use 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.

Use 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.

Use 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.

Use 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.

Use 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.

Use 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.

Use 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.

Use 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.

Use when working with Kubeflow — kubeflow ML platform management on Kubernetes. Covers pipeline management, experiment tracking, notebook servers, KFServing/KServe inference, Katib hyperparameter tuning, and training operators. Use when managing ML pipelines, deploying inference services, investigating training failures, or auditing Kubeflow resources.

Use when working with Kuma — kuma service mesh management covering meshes, dataplanes, traffic policies, mesh gateways, fault injection, rate limiting, and observability configuration. Supports both Kubernetes and Universal (VM) mode. Use when managing Kuma mesh, configuring traffic policies, debugging dataplane proxies, or setting up multi-zone mesh deployment.

Use when working with Kustomize — kustomize Kubernetes manifest management. Covers overlay composition, base management, resource generation, patch strategies, variable substitution, and build validation. Use when managing Kustomize overlays, debugging manifest generation, reviewing patch strategies, or validating Kustomize builds.

Use when working with Kyverno — kyverno Kubernetes policy management. Covers policy creation, validation rules, mutation rules, generation rules, policy reports, exception management, and compliance auditing. Use when managing Kubernetes admission policies, debugging policy violations, reviewing policy reports, or configuring resource generation.

Use when working with Label Studio — label Studio data labeling platform management. Covers project management, annotation tasks, model predictions, data export, user management, and labeling configuration. Use when managing annotation projects, reviewing labeling progress, importing predictions, or exporting labeled datasets.

Use when working with Lacework — lacework cloud security platform for threat detection, compliance assessment, vulnerability management, and cloud workload protection. Covers alert investigation, compliance report analysis, container security, host vulnerability scanning, and anomaly detection. Use when investigating cloud security alerts, reviewing compliance posture, analyzing vulnerabilities in cloud workloads, or managing Lacework agent deployments.

Use when working with Laika — laika compliance platform for SOC 2, ISO 27001, HIPAA, and other security framework management. Covers control monitoring, policy management, evidence workflows, vendor assessment, and employee compliance tracking. Use when reviewing compliance status, managing security policies, tracking evidence collection workflows, assessing vendor risk, or monitoring employee security compliance.

Use when working with Lambda Labs — lambda Labs GPU cloud management covering instance inventory, GPU type availability, SSH key management, filesystem status, instance pricing, and capacity analysis. Use for comprehensive Lambda Labs workspace assessment and GPU instance optimization.

Use when working with Lambdatest — lambdaTest cloud testing platform monitoring and analysis. Covers Selenium/Cypress test session management, tunnel monitoring, build tracking, screenshot testing, real-time testing status, and usage analytics. Use when managing LambdaTest sessions, reviewing cross-browser results, or monitoring cloud testing infrastructure.

Use when working with Lansweeper — lansweeper IT asset discovery and inventory management covering network scanning, hardware and software inventory, compliance reporting, and vulnerability assessment. Use when discovering devices across the network, auditing installed software and patch levels, generating compliance reports for IT assets, or identifying unauthorized or unmanaged devices on the network.

Use when working with Last9 — last9 observability platform for high-cardinality metrics, distributed tracing, log management, and SLO-based reliability management. Covers metric exploration, trace analysis, log querying, SLO tracking, and alert management. Use when querying Last9 metrics, investigating service reliability, managing SLOs, or analyzing high-cardinality telemetry data.

Use when working with Launchdarkly — launchDarkly feature flag management, targeting rules, environments, experimentation, and audit logging. Covers flag lifecycle, user targeting, percentage rollouts, prerequisite flags, flag scheduling, and SDK connection status. Use when managing feature flags, reviewing targeting rules, analyzing flag usage, auditing changes, or monitoring SDK connections in LaunchDarkly.

Use when working with Librenms — libreNMS network monitoring platform for network devices, servers, SNMP monitoring, alerting, and performance graphing. Covers device discovery, port monitoring, alert management, health sensor data, and availability reporting. Use when monitoring network devices, investigating interface utilization, reviewing alerts, or managing LibreNMS device inventory.

Use when working with Lightdash — lightdash BI management — monitor projects, dashboards, saved charts, spaces, and dbt model exploration. Use when reviewing dashboard health, inspecting chart queries, auditing project configuration, or checking scheduler status.

Use when working with Lightstep — lightstep (now ServiceNow Cloud Observability) platform for distributed tracing, service health monitoring, change intelligence, and SLOs. Covers querying traces, analyzing service performance, reviewing deployments, managing alert conditions, and SLO tracking. Use when investigating latency regressions, analyzing service dependencies, or managing observability configurations.

Use when working with Limelight — limelight Networks (Edgio) CDN management covering delivery configurations, origin settings, cache policies, SSL certificates, and real-time analytics. Use when managing Limelight/Edgio CDN properties, analyzing delivery performance, configuring caching behavior, or troubleshooting content delivery issues across edge POPs.

Use when working with Linkerd Deep — advanced Linkerd service mesh management covering proxy diagnostics, multi-cluster linking, policy resources, HTTPRoute configuration, server authorization, retry budgets, and advanced observability. Use for deep Linkerd troubleshooting, multi-cluster traffic management, policy-based authorization, or advanced proxy debugging.

Use when working with Linkerd — linkerd service mesh management for Kubernetes. Covers proxy injection, traffic splitting, service profiles, tap/top monitoring, mTLS verification, health checks, and dashboard access. Use when managing Linkerd mesh, debugging service communication, configuring traffic splits, or monitoring mesh health.

Use when working with Linode — linode (Akamai Cloud) infrastructure management via the linode-cli. Covers Linodes, NodeBalancers, volumes, domains, databases, and Kubernetes (LKE). Use when managing Linode/Akamai resources or checking instance health.

Use when working with Livekit — liveKit real-time video and audio infrastructure management for WebRTC-based video conferencing, live streaming, and data channels. Use when monitoring active rooms, analyzing participant quality, reviewing egress/ingress status, managing room configurations, or troubleshooting LiveKit sessions.

Use when working with Logdna — logDNA (now Mezmo) log management platform for log aggregation, search, alerting, and analysis. Covers log querying, view management, alert configuration, and usage monitoring. Use when searching LogDNA logs, investigating application issues through log data, managing views and alerts, or analyzing log ingestion volume.

Use when working with Loggly — loggly cloud log management platform for log search, analysis, alerting, and dashboards. Covers log querying with Lucene syntax, field exploration, alert management, and usage analysis. Use when searching Loggly logs, investigating application errors, managing alert configurations, or analyzing log volume patterns.

Use when working with Logstash — logstash pipeline management with input/filter/output analysis, pipeline statistics, event processing metrics, and queue monitoring. Covers pipeline health, plugin performance, JVM stats, hot threads analysis, and configuration review. Use when managing Logstash pipelines, analyzing throughput, reviewing filter performance, or troubleshooting event processing.

Use when working with Looker — looker BI platform management. Covers explore analysis, dashboard review, LookML project management, PDT status monitoring, query performance, user activity, and content validation. Use when analyzing dashboards, investigating query performance, managing LookML projects, or auditing Looker usage.

Use when working with Loom — loom video management covering video library, folders, sharing settings, and engagement analytics. Use when auditing Loom video usage, managing recordings, analyzing viewer engagement, or organizing video content across a Loom workspace.

Use when working with Mailchimp — mailchimp email marketing platform management including audience lists, campaigns, automations, templates, and analytics. Covers list health, campaign performance, subscriber engagement, bounce and unsubscribe rates, and A/B test results.

Use when working with Mailgun — mailgun email service management including domain configuration, sending statistics, deliverability monitoring, bounce and complaint tracking, route management, and mailing list administration. Covers domain health, DNS verification, reputation scoring, and event log analysis.

Use when working with Make Integromat — make (formerly Integromat) scenario management covering scenario inventory, execution history, connection health, webhook monitoring, and data store analysis. Use when auditing automation scenarios, investigating execution failures, monitoring operation quotas, or reviewing integration configurations.

Use when working with Make — gNU Make build system management. Covers Makefile analysis, target discovery, dependency graphs, variable inspection, and build debugging. Use when managing Makefiles, understanding target dependencies, debugging build failures, or optimizing parallel builds.

Use when working with Manageengine Opmanager — manageEngine OpManager network monitoring platform for routers, switches, firewalls, servers, and virtual infrastructure. Covers device discovery, interface monitoring, alert management, performance dashboards, and report generation. Use when monitoring network device health, investigating interface utilization, reviewing alarms, or managing OpManager device inventory.

Use when working with Manageengine Servicedesk — manageEngine ServiceDesk Plus management covering incident handling, IT asset tracking, CMDB configuration, and reporting. Use when creating and managing incidents with SLA tracking, cataloging hardware and software assets, building CMDB relationships between configuration items, or generating operational performance reports.

Use when working with Mapbox — mapbox platform management including map styles, tilesets, datasets, tokens, usage statistics, and geocoding. Covers API usage monitoring, tileset processing status, token permission auditing, and rate limit tracking across Maps, Navigation, and Search APIs.

Use when working with Materialize — materialize streaming database management — monitor clusters, sources, sinks, materialized views, indexes, and dataflow health. Use when debugging ingestion lag, inspecting view dependencies, auditing cluster utilization, or reviewing error logs.

Use when working with Matomo — matomo analytics management — monitor site traffic, visitor behavior, goals, segments, and reporting. Use when reviewing web analytics, inspecting referrer data, checking goal completions, or auditing tracking configuration.