What problem does it solve? Writing consistent, high-quality skills for AI coding agents is hard: authors must follow frontmatter rules, keep SKILL.md concise, apply correct Azure SDK authentication patterns, and organize bundled resources. This Skill provides the authoring guidelines, templates, and validation tooling to do it correctly. ## Core Features & Use Cases - Skill Authoring Guidelines: Enforces core principles like progressive disclosure, degrees of freedom, and a standard section order for Azure SDK skills across Python, .NET, Java, TypeScript, Go, and Rust. - Scaffolding and Packaging Scripts: Includes init_skill.py to generate a new skill from a template, quick_validate.py to check frontmatter and naming rules, and package_skill.py to bundle a skill into a distributable .skill file. - Reference Documentation: Ships azure-sdk-patterns.md, output-patterns.md, and workflows.md covering authentication, pagination, LROs, and error handling per language. - Use Case: When asked to create a new skill for azure-storage-blob in Python, the agent follows the required section order, inserts the mandatory DefaultAzureCredential callout, scaffolds the directory with init_skill.py, and validates it before packaging. ## Quick Start Ask the agent to create a new skill for a specific Azure SDK package by providing the package name, documentation URL, and target language.