Cloud Platforms Agent Skills

Implements FinOps practices for cloud cost management, including cost tracking, budget alerts, resource optimization, and automated cost analysis for AWS.

Executes GCP CLI commands with credential injection and enforces anti-hallucination rules for billing data analysis, including net cost calculation, currency detection, and anomaly detection.

Executes Azure CLI commands with parallel background jobs for fast metric collection, using tsv output and read-only operations.

Analyzes AWS ECS clusters, services, and tasks, including health, deployment status, task failures, capacity providers, and resource utilization, with parallel execution and anti-hallucination guardrails.

Analyzes AWS WAF web ACLs, rules, IP sets, and logging configurations, and retrieves blocked/allowed request metrics from CloudWatch.

Manages Google Kubernetes Engine clusters via gcloud CLI, covering cluster discovery, node pool management, workload analysis, autopilot configuration, and upgrade planning.

Analyzes AWS Glue ETL jobs, crawlers, Data Catalog, and schema registry using parallel AWS CLI queries with anti-hallucination guardrails.

Manages and analyzes Azure SQL databases via Azure CLI, covering DTU/vCore performance, elastic pools, geo-replication, and health monitoring.

Queries AWS pricing for EC2, RDS, S3, Lambda, and other services via a helper script, returning on-demand, reserved, and spot rates.

Manages Google AlloyDB for PostgreSQL clusters and instances via gcloud CLI, covering discovery, instance analysis, query insights, backup configuration, and maintenance windows.

Manages NS1 DNS zones, records, filter chains, monitoring jobs, and traffic steering via the NS1 API, with a discovery-first workflow for inspection and troubleshooting.

Manages and analyzes Google Cloud Run services using gcloud CLI, covering service discovery, revision traffic splitting, scaling, concurrency tuning, and container diagnostics.

Manages env0 infrastructure-as-code environments via the env0 API, covering discovery, deployment, cost tracking, variables, and policies.

Manages Neon serverless Postgres databases via the neonctl CLI and Neon API, covering projects, branches, databases, roles, endpoints, and compute scaling with a discovery-first workflow.

Manage AWS cloud optimization and cost savings with nOps, including ShareSave analysis, commitment management, well-architected reviews, idle resource detection, and cost dashboards.

Analyzes AWS CloudTrail events and trails, including trail health, API activity, security investigations, resource changes, and event selector audits, with parallel execution and anti-hallucination guardrails.

Provisions third-party services and retrieves API keys using the Stripe Projects CLI plugin, with catalog search and project initialization.

Manage Cloudflare Tunnels via API and TypeScript SDK, including creation, configuration, DNS routes, and token-based deployment.

Manage Cloudflare Tunnels via API and SDK, including creation, configuration, deletion, and DNS routes.

Manage Cloudflare D1 SQLite databases and KV key-value stores with setup commands, TypeScript usage patterns, and a decision matrix for choosing between them.

Optimize Kubernetes cluster costs by right-sizing resources, configuring autoscalers, using spot instances, and monitoring spend.

Runs and manages DNAnexus jobs and workflows, including monitoring, parallel execution, and error handling.

Enforces GDPR-compliant deployment practices for Google Cloud Run, including Frankfurt region verification, PII-safe logging, data anonymization, retention policies, and CSP configuration.

Evaluates a containerized framework for deploying distributed big data workloads, measuring execution time and cloud cost scaling from four to eight nodes.

Provides a structured approach to designing, implementing, and troubleshooting AWS security configurations with best practices and verification checklists.

Configures GKE autoscaling with HPA, VPA, and Node Auto-Provisioning using golden path defaults for cost optimization.

Deploy and manage Cloud Run services, jobs, and worker pools on Google Cloud.

Fine-tune open models or Gemini models using Agent Platform infrastructure, from environment setup through data preparation, job configuration, monitoring, and deployment.

Install, configure, and troubleshoot the Adobe AEM CLI (@adobe/aem-cli) for local Edge Delivery development, including dev server, import server, content sync, TLS, and proxy setup.

Create agent user identities in Microsoft Entra ID to enable AI agents to act as digital workers with user capabilities in Microsoft 365.

Finds the minimal Azure role that meets desired permissions and generates CLI commands or Bicep code to assign it.

Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing relationships between resources.

Design Azure infrastructure using natural language or analyze existing resources to generate architecture diagrams, refine them through conversation, and deploy with Bicep.

Run ML training and batch jobs across multiple clouds with automatic cost optimization, spot instance recovery, and unified orchestration.

Designs and implements a Google Cloud solution for live, bidirectional multimodal streaming workloads with AI agents, covering requirements discovery, architecture design, and deployment planning.

Selects the correct SageMaker serving container image URI for HuggingFace model deployments, prioritizing HuggingFace-curated Deep Learning Containers over generic alternatives.