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All Skills

Total 50,394 skills, DevOps & Cloud Services has 3048 skills

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Showing 12 of 3048 skills

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DevOps & Cloud Servicestencentcloudbase/skills

http-api-cloudbase

Use CloudBase HTTP API to access CloudBase platform features (database, authentication, cloud functions, cloud hosting, cloud storage, AI) via HTTP protocol from backends or scripts that are not using SDKs.

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21
DevOps & Cloud Servicesgithub/awesome-copilot

azure-resource-visualizer

Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. Use this skill when the user asks for a diagram of their Azure resources or help in understanding how the resources relate to each other.

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21
DevOps & Cloud Servicessickn33/antigravity-aweso...

git-pr-workflows-git-workflow

Orchestrate a comprehensive git workflow from code review through PR creation, leveraging specialized agents for quality assurance, testing, and deployment readiness. This workflow implements modern g

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21
DevOps & Cloud Servicesnrwl/nx-ai-agents-config

monitor-ci

Monitor Nx Cloud CI pipeline and handle self-healing fixes. USE WHEN user says "monitor ci", "watch ci", "ci monitor", "watch ci for this branch", "track ci", "check ci status", wants to track CI status, or needs help with self-healing CI fixes. ALWAYS USE THIS SKILL instead of native CI provider tools (gh, glab, etc.) for CI monitoring.

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21
DevOps & Cloud Servicesheredotnow/skill

here-now

Publish files and folders to the web instantly. Use when asked to "publish this", "host this", "deploy this", "share this on the web", "make a website", or "put this online". Outputs a live URL at <slug>.here.now.

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21
1 scripts/Attention
DevOps & Cloud Servicestigrisdata/skills

tigris-bucket-management

Use when creating, listing, inspecting, or deleting Tigris Storage buckets

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21
DevOps & Cloud Servicesgoogle/skills

gke-basics

Plan, create, and configure production-ready Google Kubernetes Engine (GKE) clusters using the golden path Autopilot configuration. Covers Day-0 checklist, Autopilot vs Standard, networking (private clusters, VPC-native, Gateway API), security (Workload Identity, Secret Manager, RBAC hardening), observability, scaling, cost optimization, and AI/ML inference. WHEN: create GKE cluster, provision GKE environment, design GKE networking, secure GKE, optimize GKE cost, GKE autoscaling, GKE inference, GKE upgrade, GKE observability, GKE multi-tenancy, GKE batch, GKE HPC, GKE compute class.

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21
DevOps & Cloud Servicesgoogle/skills

google-cloud-recipe-networking-observability

Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics. Use when investigating VPC Flow Logs, NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics.

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20
DevOps & Cloud Servicesgoogle/skills

alloydb-basics

Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB model context protocol (MCP) tools for automated database operations.

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20
DevOps & Cloud Servicesdynatrace/dynatrace-for-a...

dt-migration

Migrate Dynatrace classic and Gen2 entity-based DQL, topology navigation, and classic entity selectors to Smartscape equivalents. Use this skill when users want to convert classic entities to Smartscape nodes, rewrite entityName, entityAttr, or classicEntitySelector patterns, or map old relationships to Smartscape traversal.

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20
DevOps & Cloud Serviceslaunchdarkly/agent-skills

launchdarkly-metric-create

Create a LaunchDarkly metric that measures what matters for an experiment or rollout. Use when the user wants to create a metric, track an event, measure page views, button clicks, conversion, latency, error rate, or any custom numeric or binary outcome. Instruments the event first when needed (including SDK setup and .env), then creates and verifies the metric.

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20
DevOps & Cloud Serviceslaunchdarkly/agent-skills

launchdarkly-metric-choose

Choose the right metrics for a LaunchDarkly experiment, guarded rollout, or release policy. Use when the user wants to know which metrics to use, which is the primary metric for an experiment, what guardrails to add, or which events to monitor in a rollout. Surfaces what will auto-attach from existing release policies before making additional recommendations.

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