Scaffold Azure AI Foundry agent projects with Bicep templates and azure.yaml.
npx skills add https://github.com/spboyer/skill-azd-ai-init --skill azd-ai-init
Please help me install this Agent Skill. Skill: azd-ai-init Source: https://github.com/spboyer/skill-azd-ai-init/tree/main Command: npx skills add https://github.com/spboyer/skill-azd-ai-init --skill azd-ai-init
This skill automates the scaffolding and setup of Azure AI Foundry hosted agent projects for the azd ai workflow, helping teams go from concept to deployable structure with minimal friction.
azd up and related commands.Place in .github/skills/azd-ai-init/ in your repository, then invoke the skill with prompts such as "azd ai init" or "scaffold agent" to generate the required project scaffolding.
High-intent search queries and answers about installing and using this skill.
You can scaffold an Azure AI Foundry hosted agent project by generating the required azure.yaml, infra/ Bicep templates, Dockerfile, and agent.yaml files. This skill automates the complete project structure generation for the azd ai workflow.
To migrate existing agent code to the azd ai hosting pattern, this skill adapts your current agent structure to generate the required azure.yaml, Bicep infrastructure, and Dockerfile. It ensures your code conforms to the hosted deployment pattern for Azure AI Foundry.
The azd ai workflow requires an azure.yaml file, infra/ directory with Bicep templates, a Dockerfile, and an agent.yaml file. This skill enforces these required infrastructure patterns and validates the YAML before deployment.
Yes, you can use Bicep templates for Azure AI Foundry infrastructure deployment. This skill generates the necessary Bicep files inside the infra/ directory to enforce required infrastructure patterns and prepare the project for azd up deployment.
The best way to validate YAML before deploying an Azure AI Foundry agent is to use this skill's built-in validation logic. It enforces required infrastructure patterns and validates the generated agent.yaml and related files to ensure deployment readiness.
To deploy an Azure AI Foundry agent using azd up, this skill provides deployment guidance and validation steps after generating the required project files. It ensures the Bicep templates and YAML configurations are valid and ready for the azd up command.
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