All categories
DevOps & Cloud
Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
- 20,282
- 846
Security grades appear on each card once the skill has been scanned. Newly imported skills may briefly show without a grade until the backfill job runs.
Open in full browserBrowse devops & cloud skills
Showing 10,729–10,752 of 20,282 skills
- Capacity Planning ReviewUse when performing capacity planning review — capacity planning workflow covering traffic forecasting, resource utilization analysis, scaling strategy, cost projections, and bottleneck identification. Use for quarterly capacity reviews, pre-launch planning, or scaling readiness assessments.Votes: 0GitHub stars: 6
- Canary DeploymentUse when performing canary deployment — canary deployment template covering traffic percentage ramp-up, metrics gates at each stage, automated promotion criteria, and rollback triggers. Use for gradual, risk-controlled production releases with real traffic validation.Votes: 0GitHub stars: 6
- Blue Green DeploymentUse when performing blue green deployment — blue-green deployment template covering environment preparation, parallel stack deployment, traffic switching, validation gates, and cleanup. Use for zero-downtime releases with instant rollback capability.Votes: 0GitHub stars: 6
- Aws To Gcp MigrationUse when performing aws to gcp migration — guides a structured migration from AWS to Google Cloud Platform, covering service mapping, data transfer strategies, IAM reconfiguration, networking changes, and validation testing. Produces a phased migration plan with rollback procedures and cost projections for the target environment.Votes: 0GitHub stars: 6
- Api Latency InvestigationUse when performing api latency investigation — provides a systematic investigation framework for diagnosing and resolving API latency issues. Covers distributed tracing analysis, bottleneck identification across the request path, database query impact, external dependency latency, and optimization recommendations with expected impact.Votes: 0GitHub stars: 6
- Ai Ethics ReviewUse when performing ai ethics review — conducts an ethical review of AI/ML systems covering fairness, transparency, accountability, privacy, and safety. Evaluates potential harms, bias in training data and model outputs, explainability requirements, and produces an ethics impact assessment with mitigation recommendations.Votes: 0GitHub stars: 6
- Monitoring TempoUse 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.Votes: 0GitHub stars: 6
- Monitoring SumologicUse 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.Votes: 0GitHub stars: 6
- Monitoring PrometheusUse 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.Votes: 0GitHub stars: 6
- Monitoring LokiUse 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.Votes: 0GitHub stars: 6
- Monitoring InstanaUse 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.Votes: 0GitHub stars: 6
- Monitoring FalcoUse 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.Votes: 0GitHub stars: 6
- Monitoring DynatraceDynatrace observability, problem management, and DQL queries. Use when working with Dynatrace problems, vulnerabilities, entities, logs, metrics, spans, or events.Votes: 0GitHub stars: 6
- Managing ZabbixUse 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.Votes: 0GitHub stars: 6
- Managing YugabytedbUse 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.Votes: 0GitHub stars: 6
- Managing XrayUse 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.Votes: 0GitHub stars: 6
- Managing WingUse 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.Votes: 0GitHub stars: 6
- Managing WeaviateUse 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.Votes: 0GitHub stars: 6
- Managing WatchtowerUse 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.Votes: 0GitHub stars: 6
- Managing VultrUse 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.Votes: 0GitHub stars: 6
- Managing VoltdbUse when working with Voltdb — voltDB cluster management, stored procedure performance analysis, partition tuning, and export stream monitoring. Covers cluster topology, DR replication, snapshot schedules, command log health, and latency histogram analysis. Read this skill before any VoltDB operations.Votes: 0GitHub stars: 6
- Managing Vertex AiUse when working with Vertex Ai — google Vertex AI platform management. Covers model management, training pipelines, prediction endpoints, feature store, experiments, datasets, and custom jobs. Use when managing ML models on GCP, deploying prediction endpoints, investigating training failures, or auditing Vertex AI resources.Votes: 0GitHub stars: 6
- Managing Vercel DeepUse when working with Vercel Deep — deep Vercel platform analysis covering project inventory, deployment history, serverless and edge function metrics, domain configurations, environment variable auditing, build performance, bandwidth usage, and integration status. Use for comprehensive Vercel platform health checks.Votes: 0GitHub stars: 6
- Managing VaultUse when working with Vault — hashiCorp Vault secrets management for reading secrets, auditing access policies, checking seal status, managing leases, reviewing audit logs, and inspecting auth methods. Covers KV secrets engine, dynamic credentials, PKI, and Vault Enterprise namespaces. Read this skill before any Vault operations — it enforces discovery-first patterns and strict read-only safety rules.Votes: 0GitHub stars: 6