Foundry Research

Microsoft Foundry Research Skill

What This Skill Does

This skill helps you deep-dive into Microsoft Foundry documentation and capabilities by:

• Searching multiple topics across Microsoft Foundry documentation
• Collecting architecture guides, model documentation, and deployment patterns
• Organizing findings into clear sections (Overview, Architecture, Models, Deployment, Best Practices)
• Generating a comprehensive research summary with links and code samples

When to Use This Skill

Activate this skill when you need:

• Overview of Microsoft Foundry platform and components
• Understanding of available models and their capabilities
• Deployment and configuration guidance
• Best practices for building with Foundry
• Integration patterns with Azure services
• Code samples and quickstart guides

Workflow

Step 1: Topic Definition

Ask the user to clarify their specific Foundry interest:

• Foundry platform overview? (architecture, components)
• Specific model? (which model and its capabilities)
• Deployment scenario? (local, cloud, hybrid)
• Integration use case? (agents, workflows, content generation)

Step 2: Multi-Topic Research

Conduct multiple searches across the Microsoft Learn MCP Server:

• Search: "Microsoft Foundry platform overview architecture"
• Search: "Microsoft Foundry models and capabilities"
• Search: "Microsoft Foundry deployment options"
• Search: "Microsoft Foundry best practices"
• Search: Specific topic based on user interest (e.g., "Foundry agents", "Foundry fine-tuning")

Step 3: Information Organization

Compile findings into these sections:

## Microsoft Foundry Research Summary

### Overview
[Platform description, key components, use cases]

### Architecture
[System design, core components, integration points]

### Available Models
[Model list with capabilities, performance characteristics]

### Deployment Options
[Local development, cloud deployment, hybrid approaches]

### Best Practices
[Recommended patterns, performance optimization, security]

### Getting Started
[Quickstart guides, code examples, resources]

### Related Services
[Azure integration, complementary services]

### Additional Resources
[Links to official documentation and samples]

Step 4: Deliverable Format

Structure findings as a detailed markdown document with:

• Clear section headers
• Bullet points for key information
• Direct links to Learn documentation
• Code snippets where relevant
• Architecture diagrams described in text
• Comparison tables for models or options

Output Format

The skill produces a comprehensive research report with:

| Component | Content |

|-----------|---------|

| Executive Summary | 2-3 sentence overview of Foundry |

| Core Findings | 5-7 key points about the user's interest area |

| Technical Details | Architecture, models, APIs, configuration |

| Code Examples | Relevant quickstart code or integration patterns |

| Best Practices | Performance, security, and scalability guidance |

| Resource Links | Direct links to Learn documentation |

Information Sources

All research comes from two primary sources:

1. Microsoft Learn MCP Server (https://learn.microsoft.com/api/mcp)

• Microsoft official documentation
• Quickstart guides and tutorials
• Architecture patterns and design guides
• Code samples and reference implementations
• Best practice recommendations

2. Copilot Developer Camp (https://microsoft.github.io/copilot-camp/)

• Official Dev Camp labs and learning modules
• Hands-on tutorials and walkthroughs
• Code samples and working examples
• Best practices from the training curriculum
• Real-world scenarios and use cases

Notes

• All searches are performed against official Microsoft documentation and Copilot Dev Camp resources
• Response times depend on the complexity of the topic and number of searches needed
• Findings are cited directly from Microsoft Learn and Copilot Developer Camp resources
• Code examples are from official Microsoft quickstarts and Copilot Dev Camp samples