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Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code int...
Azure Event Hubs SDK for Python streaming. Use for high-throughput event ingestion, producers, consumers, and checkpointing.
Common AWS CDK patterns and constructs for building cloud infrastructure with TypeScript, Python, or Java. Use when designing reusable CDK stacks and L3 constructs.
Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and spending analysis. Use when reducing cloud expenses, analyzing infrastructure costs, or implementing c...
Install and configure the Manifest observability plugin for your agents. Use when setting up telemetry, configuring API keys, or troubleshooting the plugin.
Terraform module creation for AWS — reusable modules, state management, and HCL best practices. Use when building or reviewing Terraform AWS infrastructure.
Database migrations, reverts, schema generation, and GraphQL codegen for Expo + serverless backend projects. Operates on the backend (TypeORM) and frontend (GraphQL code generation).
Spring Boot 4 observability with Actuator, Micrometer, and OpenTelemetry. Use when configuring health indicators, custom metrics, distributed tracing, production endpoint exposure, or Kubernetes/Cloud…
Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects). Use when working with Foundry project clients, creating versioned agents with PromptAgentDefinition, running evalua...
Azure Monitor Query SDK for Python. Use for querying Log Analytics workspaces and Azure Monitor metrics.
CloudFormation template optimization, nested stacks, drift detection, and production-ready patterns. Use when writing or reviewing CF templates.
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.
Expert performance engineer specializing in modern observability,
Build reusable Terraform modules for AWS, Azure, and GCP infrastructure following infrastructure-as-code best practices. Use when creating infrastructure modules, standardizing cloud provisioning, ...
Install, configure, and manage the Temps deployment platform and CLI. Covers self-hosted Temps installation, CLI setup (bunx @temps-sdk/cli), initial configuration, user management, and platform admin…
Platform-specific Docker considerations for Windows, Linux, and macOS
Azure Event Hubs SDK for .NET
Azure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing.
Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns.
Configure Istio traffic management including routing, load balancing, circuit breakers, and canary deployments. Use when implementing service mesh traffic policies, progressive delivery, or resilie...
Automate Render tasks via Rube MCP (Composio): services, deployments, projects. Always search tools first for current schemas.
Expert Terraform/OpenTofu specialist mastering advanced IaC automation, state management, and enterprise infrastructure patterns.
The Fifteen-Factor App methodology for modern cloud-native SaaS applications. This skill should be automatically invoked when planning SaaS tools, product software architecture, microservices design, …
Internal workflow for post-plan materialization — creates MCP items from the approved plan and dispatches implementation. Triggered automatically after plan approval when MCP tracking is active.