
Claude Skills by cloudthinker-ai
github.com/cloudthinker-aiUse when working with Vultr — vultr cloud infrastructure management via the vultr-cli and Vultr API. Covers instances, bare metal, block storage, load balancers, Kubernetes, databases, and billing. Use when managing Vultr resources or checking server health.
Use when working with Wandb — weights & Biases experiment tracking and ML ops management. Covers run tracking, sweep management, artifact versioning, report analysis, model registry, and team collaboration. Use when managing ML experiments, comparing training runs, analyzing hyperparameter sweeps, or auditing W&B project resources.
Use when working with Wasabi — wasabi cloud storage management via the AWS CLI (S3-compatible). Covers buckets, objects, versioning, lifecycle policies, and access control. Use when managing Wasabi storage or reviewing bucket configurations.
Use when working with Watchtower — watchtower container update automation analysis covering monitored container inventory, update schedules, notification configuration, update history, container labeling for inclusion and exclusion, and rolling restart policies. Use for auditing automated container update infrastructure.
Use when working with Weaviate — weaviate vector database management, schema inspection, module health monitoring, and query performance analysis. Covers class definitions, shard distribution, vectorizer configuration, multi-tenancy status, and backup/restore operations. Read this skill before any Weaviate operations.
Use when working with Webdriverio — webdriverIO test automation management and analysis. Covers test suite configuration, service integration, browser and mobile testing, Allure report parsing, spec file organization, and WDIO runner analysis. Use when managing WebdriverIO test suites, investigating failures, or reviewing automation configurations.
Use when working with Webex — cisco Webex management covering meetings, rooms, memberships, messages, and usage analytics. Use when auditing Webex usage, managing spaces and meetings, retrieving message history, or analyzing collaboration patterns across a Webex organization.
Use when working with What The Diff — whatTheDiff AI-powered PR summary generation including automatic change descriptions, reviewer-friendly summaries, and changelog automation. Use when configuring WhatTheDiff for automated PR documentation, change summarization, and review context enrichment.
Use when working with Whitesource — mend (formerly WhiteSource) software composition analysis for open-source security, license compliance, and automated remediation. Covers vulnerability detection, library inventory, policy violations, fix recommendations, and project health tracking. Use when reviewing open-source vulnerabilities, analyzing dependency risks, managing license compliance, or tracking remediation progress across projects.
Use when working with Wing — wing cloud-oriented programming language management. Covers compilation, testing, simulation, deployment to cloud targets, resource inspection, and console usage. Use when developing Wing applications, running local simulations, deploying to AWS/Azure/GCP, or debugging preflight and inflight code.
Use when working with Wireguard — wireGuard VPN tunnel management, peer configuration, handshake timing analysis, transfer statistics, and interface monitoring. Covers tunnel status inspection, key management, endpoint tracking, and routing table analysis. Read this skill before any WireGuard operations — it enforces discovery-first patterns, anti-hallucination rules, and safety constraints.
Use when working with Woocommerce — wooCommerce store management via REST API including products, orders, customers, coupons, shipping, taxes, reports, and system status. Covers sales analytics, inventory monitoring, order fulfillment, payment gateway health, and WordPress plugin compatibility.
Use when working with Workato — workato enterprise automation platform management covering recipe inventory, job execution history, connection health, lookup table monitoring, and workspace management. Use when auditing integration recipes, investigating job failures, monitoring transaction quotas, or reviewing connector configurations.
Use when working with Wrike — wrike project management covering folders, projects, tasks, timelog entries, and workflow analytics. Use when auditing Wrike usage, managing tasks and projects, analyzing time tracking, or reviewing workflow health across a Wrike workspace.
Use when working with Xata — xata serverless database management via the xata CLI and Xata API. Covers databases, branches, tables, schema management, migrations, and search. Use when managing Xata databases or reviewing schema workflows.
Use when working with Xmatters — xMatters communication workflow management covering on-call scheduling, group management, communication plan design, flow designer automation, event targeting, and notification analytics. Use when configuring xMatters communication workflows, managing on-call rotations, building flow designer integrations, or analyzing notification delivery and response patterns.
Use when working with Xray — xray test management for Jira monitoring and analysis. Covers test case and precondition management, test plan and execution tracking, Cucumber/Gherkin integration, test set organization, requirement coverage analysis, and CI/CD result import. Use when managing test cases in Xray, tracking test executions within Jira, or reviewing BDD test coverage.
Use when working with Youtrack — jetBrains YouTrack issue tracking covering projects, issues, agile boards, sprints, and workflow analytics. Use when auditing YouTrack usage, managing issues and agile boards, analyzing sprint progress, or reviewing project health across a YouTrack instance.
Use when working with Yugabytedb — yugabyteDB cluster management, tablet distribution analysis, YSQL/YCQL performance tuning, and replication monitoring. Covers master/tserver health, tablet leader balancing, xCluster replication, CDC streams, and distributed transaction diagnostics. Read this skill before any YugabyteDB operations.
Use when working with Zabbix — zabbix enterprise monitoring platform for infrastructure, networks, servers, cloud resources, and applications. Covers host management, trigger and problem review, item data querying, template management, and alert configuration. Use when monitoring Zabbix hosts, investigating active problems, reviewing trigger states, or managing monitoring templates and actions.
Use when working with Zammad — zammad helpdesk platform management covering ticket operations, knowledge base article publishing, and reporting dashboards. Use when creating and managing support tickets with tags and custom attributes, building and organizing knowledge base content for end-user self-service, or analyzing ticket metrics including first response times, resolution rates, and agent workload.
Use when working with Zap Proxy — oWASP ZAP (Zed Attack Proxy) for automated dynamic application security testing and web vulnerability scanning. Covers active/passive scanning, spider crawling, alert management, scan policies, and authentication configuration. Use when running web application security scans, reviewing discovered vulnerabilities, managing scan policies, or analyzing ZAP alerts and scan progress.
Use when working with Zapier — zapier workflow automation management covering Zap inventory, task usage tracking, connection health, error monitoring, and folder organization. Use when auditing Zap configurations, investigating failed tasks, monitoring usage quotas, or reviewing connected app integrations.
Use when working with Zendesk Deep — zendesk advanced support management covering ticket workflows, macros, triggers, automations, SLA policies, views, and reporting. Use when managing complex ticket routing, configuring automation rules, analyzing support metrics, monitoring SLA compliance, or optimizing helpdesk agent workflows and productivity.
Use when working with Zenduty — zenduty incident management covering incident lifecycle, SLA tracking, escalation policies, on-call scheduling, postmortem generation, service dependency mapping, and integration management. Use when configuring Zenduty incident workflows, tracking SLA compliance, managing on-call rotations, generating postmortems, or analyzing incident trends.
Use when working with Zenhub — zenHub project management covering workspaces, boards, epics, sprints, and velocity analytics layered on GitHub Issues. Use when auditing ZenHub usage, analyzing board pipelines, reviewing sprint progress, or assessing team velocity across ZenHub workspaces.
Use when working with Zephyr — zephyr test management (Scale/Squad) monitoring and analysis. Covers test case management within Jira, test cycle execution tracking, folder organization, execution status reporting, traceability matrix review, and environment configuration. Use when managing test cases in Zephyr, tracking test execution within Jira, or reviewing QA coverage.
Use when working with Zoho Crm — zoho CRM management including leads, contacts, accounts, deals, activities, reports, workflows, and blueprints. Covers pipeline analytics, lead conversion tracking, activity completion, workflow execution monitoring, and API usage limits.
Use when working with Zoom — zoom meeting and webinar management covering scheduled meetings, recordings, users, and usage analytics. Use when auditing Zoom usage, managing meetings, retrieving recordings, or analyzing meeting participation patterns across a Zoom account.
Use when working with Appdynamics — appDynamics application performance monitoring with flow maps, business transaction analysis, tier health, analytics queries, and baseline management. Covers application topology, node health, error analysis, metric browsing, and health rule violations. Use when analyzing application performance, investigating business transactions, reviewing health rules, or querying AppDynamics metrics via REST API.
Use when working with Axiom — axiom observability platform with dataset management, APL (Axiom Processing Language) queries, monitors, dashboards, and virtual fields. Covers log and event ingestion analysis, dataset statistics, alerting rules, annotation management, and data retention. Use when querying datasets with APL, managing monitors, analyzing ingestion volume, or reviewing dashboards via Axiom API.
Use when working with Datadog — datadog observability platform for metrics, logs, traces, dashboards, monitors, and alerts. Covers APM, infrastructure monitoring, log analytics, synthetic monitoring, SLOs, incident management, and cost analysis. Use when querying Datadog metrics, investigating monitors/alerts, analyzing application performance, reviewing logs, or managing Datadog resources via API.
Dynatrace observability, problem management, and DQL queries. Use when working with Dynatrace problems, vulnerabilities, entities, logs, metrics, spans, or events.
Elasticsearch cluster monitoring, log analytics, and search optimization. Use when working with Elasticsearch indices, mappings, DSL queries, ES|QL analytics, or shard health.
Use when working with Falco — falco runtime threat detection and monitoring. Covers rule management, alert analysis, system call monitoring, Kubernetes audit log analysis, custom rule creation, and output channel configuration. Use when investigating runtime security alerts, managing detection rules, analyzing suspicious activity, or auditing system call patterns.
Grafana monitoring, visualization, and alerting. Use when working with Grafana datasources, Prometheus metrics, Loki logs, dashboards, or alerts.
Use when working with Instana — instana application performance monitoring with infrastructure discovery, service endpoint analysis, incident management, smart alert configuration, and dependency mapping. Covers automatic topology, call analysis, trace grouping, SLI/SLO tracking, and infrastructure health. Use when analyzing service performance, investigating incidents, reviewing infrastructure topology, or managing alerts via Instana API.
Use when working with Jaeger — jaeger distributed tracing for trace search, service dependency analysis, span analysis, sampling configuration, and performance monitoring. Covers trace lookup, service topology, operation latency analysis, and comparison workflows. Use when searching traces, analyzing service dependencies, investigating latency, or managing Jaeger configuration via API.
Use when working with Kibana — kibana visualization platform with space management, saved objects, index patterns, dashboard export, and lens analysis. Covers dashboard management, visualization listing, data view configuration, alerting rules, and reporting. Use when managing Kibana spaces, exporting dashboards, reviewing index patterns, or analyzing saved objects via API.
Use when working with Loki — grafana Loki log aggregation with LogQL queries, label management, tenant analysis, ingestion health, and ruler configuration. Covers log stream queries, metric queries from logs, alerting rules, and storage analysis. Use when querying logs via LogQL, analyzing label cardinality, managing alert rules, or monitoring Loki cluster health.
Use when working with Monte Carlo — monte Carlo data observability platform monitoring. Covers data freshness monitors, volume anomalies, schema changes, lineage analysis, incident management, and custom monitors. Use when investigating data quality incidents, reviewing monitor alerts, analyzing table lineage, or auditing data observability coverage.
Use when working with Opentelemetry — openTelemetry collector management, pipeline configuration, exporter health, instrumentation analysis, and receiver status. Covers collector metrics, pipeline topology, processor performance, batch/queue monitoring, and SDK configuration review. Use when managing OTel collectors, analyzing pipeline health, reviewing exporter status, or troubleshooting instrumentation.
Use when working with Pingdom — pingdom uptime monitoring with check management, transaction checks, page speed analysis, alerting configuration, and performance reporting. Covers HTTP/TCP/UDP checks, real user monitoring, response time analysis, outage history, and contact management. Use when managing uptime checks, analyzing performance, reviewing outages, or configuring alerts via Pingdom API.
Use when working with Prometheus — prometheus metrics monitoring, PromQL query building, alerting rule analysis, target scrape health, and TSDB storage management. Covers service discovery, recording rules, federation, remote write, and integration with Alertmanager. Use when querying Prometheus metrics, investigating alerting rules, analyzing scrape targets, or building PromQL expressions.
Use when working with Sentry — sentry error tracking, performance monitoring, release health, and issue management. Covers error investigation, stack trace analysis, release comparison, performance transaction monitoring, alert rule management, and issue triage workflows. Use when investigating application errors, analyzing crash rates, reviewing release health, or managing Sentry projects.
Use when working with Splunk — splunk platform for log analytics, SPL queries, index management, saved searches, alerts, and dashboard analysis. Covers search job management, data model acceleration, KV store lookups, and forwarder health. Use when running SPL queries, investigating alerts, analyzing indexes, or managing Splunk resources via REST API.
Use when working with Sumologic — sumo Logic cloud-native log analytics, metrics queries, monitors, dashboards, and content management. Covers log search, metrics exploration, alerting rules, folder/content management, and data ingestion health. Use when searching logs, querying metrics, managing monitors, or analyzing Sumo Logic resources via API.
Use when working with Tempo — grafana Tempo distributed tracing with TraceQL queries, service graphs, span metrics, and trace analysis. Covers trace search, span attribute filtering, service topology, trace-to-metrics correlation, and backend health monitoring. Use when querying traces via TraceQL, analyzing service graphs, investigating latency, or monitoring Tempo cluster health.
Use when working with Thanos — thanos long-term Prometheus storage with store gateway health, compactor status, query frontend analysis, sidecar management, and ruler evaluation. Covers PromQL queries via Thanos Query, block management, deduplication, downsampling status, and multi-cluster federation. Use when querying Thanos metrics, monitoring compaction, analyzing store health, or managing Thanos components.
Use when working with Uptime Kuma — uptime Kuma self-hosted monitoring with monitor management, notification channels, status pages, heartbeat analysis, and maintenance windows. Covers HTTP/TCP/DNS/ping monitors, alert configuration, response time tracking, and uptime statistics. Use when managing monitors, analyzing uptime, configuring notifications, or reviewing status pages via API.