Cloud

Docker, Kubernetes, and AWS ECS/Fargate patterns.

Entry point for AI-agent work on AWS: pick a runtime, plan a migration for existing workloads, and build an executable POC — one phased flow.

Builds generative AI applications on Amazon Bedrock.

Provides authoritative guidance on Amazon Neptune Database and Neptune Analytics for graph, knowledge-graph, and relationship-heavy workloads — fraud…

Selects, deploys, and customizes AI models on Amazon SageMaker.

Deploys, queries, and debugs AWS Marketplace usage-based (PAYG) metering — the pipeline (ResolveCustomer, BatchMeterUsage, EventBridge via SAM) and…

Builds, configures, debugs, and optimizes AWS observability - operator-symptom questions and detecting Omni vs classic CloudWatch.

Routes serverless requests to a compute form factor and the skill that owns it.

Migrate workloads from Google Cloud Platform to AWS — plus AI and agentic workloads from any provider.

Migrate workloads from Heroku to AWS.

Migrates vibe-coded web applications to AWS.

Operates Amazon MSK Provisioned clusters (Standard and Express brokers).

Best-practice authoring guidance AND a read-only policy gate for AWS Terraform generated by a migration skill.

Retrieves authoritative guidance on Amazon Timestream for InfluxDB across its supported engine variants.

Read, write, append, and manage Google Sheets via the Google Sheets API (Node.js SDK).

Translates Snowflake dbt SQL models to Standardized BigQuery SQL.

Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics.

This skill covers deploying Microsoft Sentinel as a cloud-native SIEM and SOAR platform for centralized security operations.

Responds to security incidents in cloud environments (AWS, Azure, GCP) by performing identity-based containment, cloud-native log analysis, resource…

GTM leads, enrichment, outreach, Plays, developer signals/Reo.dev.

Upload, sync, and manage files across cloud storage providers using rclone.

Scaffold, structure, and manage AI/ML projects that run on AzureML.

Generates code that transforms datasets between ML schemas for model training or evaluation.

Render Cisco Data Fabric ingest-time routing workflows and Splunk Cloud Platform Ingest Processor setup plans with SPL2 pipelines, source types, destinations…