internal-azure-devops

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更新时间2026年8月1日 21:32

Use when /internal-azure selects Azure DevOps pipeline YAML, project automation, triggers, environments, approvals, or artifact-flow work.

安装

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来源

pagopa

pagopa/cloud-strategy.github

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Internal Azure DevOps

Use this workflow for Azure DevOps pipeline and project-automation delivery or review.

When to use

Use when /internal-azure selects a pipeline, environment-promotion, or Azure DevOps automation deliverable.

Workflow

Perform request classification: identify pipeline authoring, pipeline review, project automation, deployment flow, or repository integration.
Complete repository convention discovery: inspect existing pipeline files, templates, agent images, validation commands, variables, environments, and deployment conventions.
Produce the pipeline or automation design with intentional triggers, stages, jobs, dependencies, templates, parameters, variables, environments, approvals, and artifact flow.
Define security controls: least-privilege service connections, approved secret stores, protected environments, and safe logging.
Make rollback, health checks, and promotion gates explicit whenever deployment is in scope.
Run focused validation for YAML syntax, repository checks, pipeline linting, dry runs, or Azure DevOps validation commands available in the repository.

Pipeline principles

Keep build, test, package, and deploy responsibilities clear enough that failures point to the owning stage.
Use parameters for caller-controlled choices and variable groups for shared configuration.
Publish test results and artifacts with recognizable names.
Preserve repository conventions before introducing new pipeline structure.

Load references/pipelines.md for the deeper authoring and review baseline.

Completion criteria

Return the classified request, discovered conventions, pipeline or automation design, security controls, rollback posture, and focused validation result.

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Use when creating, reviewing, or materially revising a repository-owned Copilot agent under `.github/agents/`.

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Use when /internal-aws selects the AWS governance lane for IAM operating models, trust policies, federation, permission boundaries, SCPs, tag policies, exception controls, or access guardrails.

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Use when /internal-aws selects the AWS Lambda lane for handlers, event sources, runtimes, packaging, retries, concurrency, cold starts, or Lambda-specific configuration.

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Use when /internal-aws selects the AWS operations lane for monitoring, logging, rollout validation, backup and restore proof, DR evidence, reporting, or audit evidence.

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name	internal-azure-devops
description	Use when /internal-azure selects Azure DevOps pipeline YAML, project automation, triggers, environments, approvals, or artifact-flow work.

Internal Azure DevOps

Use this workflow for Azure DevOps pipeline and project-automation delivery or review.

When to use

Use when /internal-azure selects a pipeline, environment-promotion, or Azure DevOps automation deliverable.

Workflow

Perform request classification: identify pipeline authoring, pipeline review, project automation, deployment flow, or repository integration.
Complete repository convention discovery: inspect existing pipeline files, templates, agent images, validation commands, variables, environments, and deployment conventions.
Produce the pipeline or automation design with intentional triggers, stages, jobs, dependencies, templates, parameters, variables, environments, approvals, and artifact flow.
Define security controls: least-privilege service connections, approved secret stores, protected environments, and safe logging.
Make rollback, health checks, and promotion gates explicit whenever deployment is in scope.
Run focused validation for YAML syntax, repository checks, pipeline linting, dry runs, or Azure DevOps validation commands available in the repository.

Pipeline principles

Keep build, test, package, and deploy responsibilities clear enough that failures point to the owning stage.
Use parameters for caller-controlled choices and variable groups for shared configuration.
Publish test results and artifacts with recognizable names.
Preserve repository conventions before introducing new pipeline structure.

Load references/pipelines.md for the deeper authoring and review baseline.

Completion criteria

Return the classified request, discovered conventions, pipeline or automation design, security controls, rollback posture, and focused validation result.