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Claude Skills by cloudthinker-ai
github.com/cloudthinker-ai988 skills60 installs3,104 views
- Managing KubeflowUse 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.Votes: 0GitHub stars: 6
- Managing KumaUse 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.Votes: 0GitHub stars: 6
- Managing KustomizeUse 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.Votes: 0GitHub stars: 6
- Managing KyvernoUse 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.Votes: 0GitHub stars: 6
- Managing Label StudioUse 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.Votes: 0GitHub stars: 6
- Managing LaceworkUse 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.Votes: 0GitHub stars: 6
- Managing LaikaUse 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.Votes: 0GitHub stars: 6
- Managing Lambda LabsUse 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.Votes: 0GitHub stars: 6
- Managing LambdatestUse 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.Votes: 0GitHub stars: 6
- Managing LansweeperUse 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.Votes: 0GitHub stars: 6
- Managing Last9Use 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.Votes: 0GitHub stars: 6
- Managing LaunchdarklyUse 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.Votes: 0GitHub stars: 6
- Managing LibrenmsUse 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.Votes: 0GitHub stars: 6
- Managing LightdashUse 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.Votes: 0GitHub stars: 6
- Managing LightstepUse 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.Votes: 0GitHub stars: 6
- Managing LimelightUse 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.Votes: 0GitHub stars: 6
- Managing Linkerd DeepUse 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.Votes: 0GitHub stars: 6
- Managing LinkerdUse 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.Votes: 0GitHub stars: 6
- Managing LinodeUse 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.Votes: 0GitHub stars: 6
- Managing LivekitUse 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.Votes: 0GitHub stars: 6
- Managing LogdnaUse 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.Votes: 0GitHub stars: 6
- Managing LogglyUse 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.Votes: 0GitHub stars: 6
- Managing LogstashUse 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.Votes: 0GitHub stars: 6
- Managing LookerUse 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.Votes: 0GitHub stars: 6
- Managing LoomUse 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.Votes: 0GitHub stars: 6
- Managing MailchimpUse 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.Votes: 0GitHub stars: 6
- Managing MailgunUse 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.Votes: 0GitHub stars: 6
- Managing Make IntegromatUse 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.Votes: 0GitHub stars: 6
- Managing MakeUse 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.Votes: 0GitHub stars: 6
- Managing Manageengine OpmanagerUse 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.Votes: 0GitHub stars: 6
- Managing Manageengine ServicedeskUse 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.Votes: 0GitHub stars: 6
- Managing MapboxUse 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.Votes: 0GitHub stars: 6
- Managing MaterializeUse 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.Votes: 0GitHub stars: 6
- Managing MatomoUse 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.Votes: 0GitHub stars: 6
- Managing MavenUse when working with Maven — maven build system management. Covers POM analysis, dependency management, plugin configuration, multi-module builds, repository settings, and lifecycle phases. Use when managing Maven projects, resolving dependency conflicts, analyzing build lifecycles, or configuring repository mirrors.Votes: 0GitHub stars: 6
- Managing MegalinterUse when working with Megalinter — megaLinter multi-language linting management. Covers linter configuration, flavor selection, reporter setup, CI integration, and fix mode management. Use when managing MegaLinter configurations, enabling or disabling linters, debugging linter failures, or optimizing linting performance.Votes: 0GitHub stars: 6
- Managing MeilisearchUse when working with Meilisearch — meilisearch index management, search performance analysis, ranking rule optimization, and filterable/sortable attribute configuration. Covers index health, task queues, document counts, typo tolerance settings, and API key management. Read this skill before any Meilisearch operations.Votes: 0GitHub stars: 6
- Managing MemcachedUse when working with Memcached — memcached instance monitoring, slab allocation analysis, hit ratio optimization, and connection management. Covers memory utilization, eviction rates, item distribution across slabs, connection pool health, and multi-instance topology. Read this skill before any Memcached operations.Votes: 0GitHub stars: 6
- Managing MetabaseUse when working with Metabase — metabase BI platform management. Covers question and dashboard analysis, database connection management, pulse/subscription monitoring, collection organization, query performance, and user activity tracking. Use when analyzing dashboards, investigating query issues, managing database connections, or auditing Metabase usage.Votes: 0GitHub stars: 6
- Managing MezmoUse when working with Mezmo — mezmo (formerly LogDNA) observability pipeline and log management platform for log ingestion, routing, processing, and analysis. Covers log querying, pipeline management, view configuration, alerting, and usage analytics. Use when searching Mezmo logs, managing log pipelines, configuring alert rules, or analyzing ingestion patterns.Votes: 0GitHub stars: 6
- Managing Middleware IoUse when working with Middleware Io — middleware.io full-stack observability platform for infrastructure monitoring, APM, log management, synthetic monitoring, and Kubernetes observability. Covers host metrics, application traces, log analysis, alert management, and dashboard review. Use when monitoring infrastructure health, investigating application performance, searching logs, or managing Middleware.io alerts.Votes: 0GitHub stars: 6
- Managing MilvusUse when working with Milvus — milvus vector database management, collection schema inspection, index build monitoring, and query node health analysis. Covers partition management, segment compaction, resource group allocation, replica configuration, and consistency level tuning. Read this skill before any Milvus operations.Votes: 0GitHub stars: 6
- Managing MixpanelUse when working with Mixpanel — mixpanel analytics management — monitor event ingestion, user profiles, funnels, retention, and data governance. Use when reviewing event volumes, debugging tracking issues, inspecting user properties, or auditing data definitions.Votes: 0GitHub stars: 6
- Managing MlflowUse when working with Mlflow — mLflow experiment tracking and model registry management. Covers experiment tracking, run comparison, model registry, artifact management, model serving, and metric analysis. Use when managing ML experiments, comparing model runs, promoting models through stages, or debugging MLflow tracking issues.Votes: 0GitHub stars: 6
- Managing ModalUse when working with Modal — modal serverless compute management covering app inventory, function deployments, container status, volume mounts, secret management, scheduled job analysis, GPU utilization, and usage metrics. Use for comprehensive Modal workspace assessment and compute optimization.Votes: 0GitHub stars: 6
- Managing Mode AnalyticsUse when working with Mode Analytics — mode Analytics management — monitor workspaces, reports, queries, data sources, and scheduled runs. Use when reviewing report health, inspecting query performance, auditing data connections, or checking scheduled report delivery.Votes: 0GitHub stars: 6
- Managing MoogsoftUse when working with Moogsoft — moogsoft AI-driven incident management covering intelligent alert detection, noise reduction, correlation engine tuning, situation management, workflow automation, and performance analytics. Use when configuring Moogsoft correlation algorithms, analyzing alert noise reduction effectiveness, managing situations, or reviewing AI-driven incident detection patterns.Votes: 0GitHub stars: 6
- Managing MoralisUse when working with Moralis — moralis Web3 data platform management including EVM and Solana API endpoints, Streams (webhooks), token and NFT APIs, wallet APIs, and usage monitoring. Covers API health, compute unit usage, stream delivery, and cross-chain data availability.Votes: 0GitHub stars: 6
- Managing MparticleUse when working with Mparticle — mParticle CDP management — monitor inputs, outputs, data plans, event forwarding, and audience health. Use when debugging event delivery, reviewing data quality rules, auditing integrations, or inspecting audience segment configurations.Votes: 0GitHub stars: 6
- Managing NagiosUse when working with Nagios — nagios infrastructure monitoring platform for host and service monitoring, alerting, event handling, and availability reporting. Covers host status review, service check results, notification management, downtime scheduling, and performance data analysis. Use when checking Nagios host/service status, investigating alerts, scheduling downtime, or reviewing monitoring configurations.Votes: 0GitHub stars: 6