SkillOps for Azure AI Agents

Building Reusable Agent Skills and Governance Practices for Azure Engineering Teams
1. Auflage 2027
ISBN: 979-8-8688-3340-3
Verlag: APRESS L.P.

Buch, Englisch, Format (B × H): 178 mm x 254 mm

This book is a practical guide to transforming AI coding assistants from isolated productivity tools into governed, reusable engineering capabilities for Azure teams. As organizations increasingly adopt AI-assisted development, many still rely on prompts and ad-hoc workflows that lack consistency, oversight, and scalability. This book introduces the concept of “SkillOps”—the operational discipline of designing, managing, testing, and governing reusable Azure agent skills that capture institutional knowledge and engineering best practices.

Through real-world Azure scenarios, the book shows you how to create and manage reusable skills for deployment reviews, architecture validation, infrastructure generation, cost optimization, secure configuration checks, incident triage, Azure Monitor investigations, Azure AI Search workflows, and AI Foundry operations. You’ll learn how Azure Agent Skills, MCP servers, and Microsoft Foundry fit together, how to design high-quality skill instructions and internal skill libraries, and how to evaluate whether skills genuinely improve agent behavior. Along the way, the book provides practical guidance on testing, versioning, governance, and enterprise rollout strategies.

By the end of the book, you’ll understand how to build a scalable SkillOps practice that enables safe, repeatable, and high-quality AI-assisted engineering across real Azure organizations.

What You Will Learn:

• Design reusable Azure agent skills that package cloud engineering knowledge, workflows, guardrails, and decision logic
• Connect skill-guided workflows with Azure MCP Server, Foundry MCP Server, coding assistants, and Microsoft Foundry where appropriate
• Build internal skill libraries for deployment reviews, diagnostics, cost optimization, architecture validation, AI workflows, and secure configuration
• Test, review, version, publish, and govern agent skills as maintainable engineering assets
• Roll out SkillOps practices across Azure engineering teams without creating unmanaged AI-assisted cloud operations

Who This Book Is For:

Azure developers, cloud engineers, platform engineers, DevOps engineers, AI engineers, solution architects, and technical leads who are already experimenting with AI coding assistants or agentic development tools and want to make that usage more repeatable, governed, and ready for production environments

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Gondosubroto, Renaldi

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Microsoft Programmierung

Inhaltsverzeichnis

Chapter 1: Why SkillOps Matters for Azure AI Agents.- Chapter 2: Understanding Azure Agent Skills, MCP, and Foundry.- Chapter 3: Working with Azure Agent Skills.- Chapter 4: Designing High-Quality Azure Skills.- Chapter 5: Building Custom Internal Skill Libraries.- Chapter 6: Skill-Guided Azure Deployment and Review Workflows.- Chapter 7: Skills for Operations, Diagnostics, and SRE.- Chapter 8: Skills for Azure AI, Search, and Data Workflows.- Chapter 9: Testing, Evaluating, and Versioning Agent Skills.- Chapter 10: Governance, Security, and Enterprise Rollout.

Über Autor(innen)

Renaldi Gondosubroto is an accomplished senior software engineer, author, international speaker, and cloud and AI practitioner. He is the author of , and  . Renaldi has a Bachelor of Science degree in Computing and Software Systems from the University of Melbourne and a Master of Science degree in Computer Science from Columbia University. Outside of the industry, he is active in the academic community, having his research focused on generative AI and machine learning. Having spoken at more than 70 events and conferences, along with having led a chunk of workshops, Renaldi has been an international speaker for the past six years, sharing his experiences and projects. He also is an AWS Subject Matter Expert (SME) for its Professional and Specialty Certifications, a Microsoft Certified Trainer (MCT), and holds all 13 AWS certifications, along with 20 Microsoft Azure Certifications, including the AI-102 certification. Renaldi's work focuses on practical AI engineering, cloud architecture, responsible AI implementation, and the operational patterns needed to bring generative AI systems into real enterprise environments.