Total 43,182 skills, DevOps & Cloud Services has 2678 skills
Showing 12 of 2678 skills
Authors, deploys, and troubleshoots AWS infrastructure using CDK with TypeScript or Python. Covers best practices, stack architecture, and construct patterns. Always use when writing CDK constructs, bootstrapping environments, running cdk deploy/synth/diff, fixing CDK or CloudFormation errors, planning stack structure, importing existing resources, resolving drift, or refactoring stacks without resource replacement.
Deploys and operates containerized workloads on ECS, Fargate, and ECR. Covers task definitions, Fargate services, ECR repository setup and lifecycle policies, ECS Exec debugging, service scaling, deployment strategies, load balancer integration, and logging configuration. Use when deploying, debugging, or optimizing containers on AWS. ALSO USE for container deployment options (ECS vs ECS Express Mode), networking modes, health check troubleshooting, OOM errors, secrets injection, blue/green deployments, ECR image management, and App Runner sunset guidance and migration. NOT for Kubernetes, EKS, or CI/CD pipelines.
Analyze AWS costs, find savings, manage budgets, evaluate Savings Plans and Reserved Instances, right-size EC2/Lambda/RDS/EBS with Compute Optimizer, look up service pricing, query CUR with Athena, detect cost anomalies, scope costs to billing views, and monitor Free Tier usage. Triggers on: AWS bill, cost analysis, reduce spend, savings plan, reserved instance, right-size, budget alert, cost optimization, pricing, free tier, cost anomaly, CUR, cost audit, billing view, billing view ARN.
Configure Azure API Management (APIM) as AI Gateway to secure, observe, control AI models, MCP servers, agents. Helps with rate limiting, semantic caching, content safety, load balancing. USE FOR: AI Gateway, APIM, setup gateway, configure gateway, add gateway, model gateway, MCP server, rate limit, token limit, semantic cache, content safety, load balance, OpenAPI import, convert API to MCP. DO NOT USE FOR: deploy models (use microsoft-foundry), Azure Functions (use azure-functions), databases (use azure-postgres).
Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. USE FOR: create architecture diagram, visualize Azure resources, show resource relationships, generate Mermaid diagram, analyze resource group, diagram my resources, architecture visualization, resource topology, map Azure infrastructure DO NOT USE FOR: creating/modifying resources (use azure-deploy), security scanning (use azure-security), performance troubleshooting (use azure-diagnostics), code generation (use relevant service skill)
Helps users find the right Azure RBAC role for an identity with least privilege access, then generate CLI commands and Bicep code to assign it. USE FOR: "what role should I assign", "least privilege role", "RBAC role for", "role to read blobs", "role for managed identity", "custom role definition", "assign role to identity". DO NOT USE FOR: creating or configuring managed identities, or general Azure security hardening; those are out of scope for this role-selection skill.
List, find, and show Azure resources. Answers "list my VMs", "show my storage accounts", "list websites", "find container apps", "what resources do I have", and similar queries for any Azure resource type. USE FOR: list resources, list virtual machines, list VMs, list storage accounts, list websites, list web apps, list container apps, show resources, find resources, what resources do I have, list resources in resource group, list resources in subscription, find resources by tag, find orphaned resources, resource inventory, count resources by type, cross-subscription resource query, Azure Resource Graph, resource discovery, list container registries, list SQL servers, list Key Vaults, show resource groups, list app services, find resources across subscriptions, find unattached disks, tag analysis. DO NOT USE FOR: deploying resources (use azure-deploy), creating or modifying resources, cost optimization (use azure-cost-optimization), writing application code, non-Azure clouds.
Bare minimum setup for getting started with Firebase for the agent. This covers Node.js installation, Firebase CLI availability, login, and MCP server installation. Use this to ensure the local environment is fully prepared before using Firebase.
Guides use of AWS messaging and streaming services. Covers Amazon SQS, Amazon SNS, Amazon EventBridge, Amazon MQ, Amazon Kinesis Data Streams, Amazon Data Firehose, Amazon Managed Service for Apache Flink, and Amazon Managed Streaming for Apache Kafka (MSK). Use when implementing messaging and streaming patterns.
Run agent-browser on AWS Bedrock AgentCore cloud browsers. Use when the user wants to use AgentCore, run browser automation on AWS, use a cloud browser with AWS credentials, or needs a managed browser session backed by AWS infrastructure. Triggers include "use agentcore", "run on AWS", "cloud browser with AWS", "bedrock browser", "agentcore session", or any task requiring AWS-hosted browser automation.
Query resource usage metrics for Railway services. Use when user asks about resource usage, CPU, memory, network, disk, or service performance like "how much memory is my service using" or "is my service slow".
MS OneDrive integration. Manage Accounts. Use when the user wants to interact with MS OneDrive data.