---
title: "azure"
description: "Azure, Aspire, Cosmos DB and cloud architecture skills"
canonical: https://agentpluginsdirectory.com/plugins/azure--baotoq
last-updated: 2026-10-06
---

# azure
Azure, Aspire, Cosmos DB and cloud architecture skills
- Slug: azure--baotoq
- Publisher: Bao To
- Repository: https://github.com/baotoq/agent-skills
- Manifest: plugins/azure/plugin.json
- Version: 1.0.0
- Category (editorial): other
- Skills: 4 (aspire, cloud-design-patterns, cosmosdb-datamodeling, microsoft-foundry)
- MCP servers: 0
- Stars: 1
- Repository created: 2026-02-12
- Repository last pushed: 2026-10-02
- Publisher type: User
- Listing: https://agentpluginsdirectory.com/plugins/azure--baotoq
- Schema: https://agent-plugins.org/schemas/1.0.0/plugin.schema.json

## Skills

- aspire: Aspire skill covering the Aspire CLI, AppHost orchestration, service discovery, integrations, MCP server, VS Code extension, Dev Containers, GitHub Codespaces, templates, dashboard, and deployment. Use when the user asks to create, run, debug, configure, deploy, or troubleshoot an Aspire distribute…
- cloud-design-patterns: Cloud design patterns for distributed systems architecture covering 42 industry-standard patterns across reliability, performance, messaging, security, and deployment categories. Use when designing, reviewing, or implementing distributed system architectures.
- cosmosdb-datamodeling: Step-by-step guide for capturing key application requirements for NoSQL use-case and produce Azure Cosmos DB Data NoSQL Model design using best practices and common patterns, artifacts_produced: "cosmosdb_requirements.md" file and "cosmosdb_data_model.md" file
- microsoft-foundry: Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, create agent, update agent, add tool to agent, invok…

Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.