What problem does it solve? Creating consistent, high-quality skills for AI coding agents is hard: skills need proper frontmatter, correct structure, current Azure SDK authentication patterns, and organized bundled resources. This Skill encodes the conventions, section ordering, and validation rules so new skills follow the same standards every time. ## Core Features & Use Cases - Skill authoring guidance: Defines core principles (conciseness, progressive disclosure, degrees of freedom) and the required SKILL.md structure with YAML frontmatter. - Azure SDK skill standards: Prescribes section order, mandatory authentication callouts, DefaultAzureCredential patterns, sync/async consistency rules, and per-language conventions for Python, .NET, Java, TypeScript, and Rust. - Scaffolding and packaging scripts: Ships init_skill.py to scaffold new skills, quick_validate.py to validate frontmatter, and package_skill.py to bundle skills into distributable .skill files. - Use Case: When asked to create a skill for azure-ai-projects in Python, the agent gathers the SDK package name and docs URL, scaffolds the directory, writes SKILL.md following the Azure SDK section order, and validates it before packaging. ## Quick Start Ask the agent to create a new skill for a specific Azure SDK package, providing the package name and its Microsoft Learn documentation URL.
