Generate GitHub Actions and Azure DevOps YAML pipelines for .NET projects.
npx skills add https://github.com/Trossitec/dotnet-claude-kit --skill ci-cd-trossitec
Please help me install this Agent Skill. Skill: ci-cd Source: https://github.com/Trossitec/dotnet-claude-kit/tree/main/skills/ci-cd Command: npx skills add https://github.com/Trossitec/dotnet-claude-kit --skill ci-cd-trossitec
This Skill reduces build breakages and slow releases by guiding you to set up consistent CI/CD pipelines that compile, validate, and deploy .NET code automatically.
Ask an AI to generate a GitHub Actions CI workflow for your .NET repository that restores, builds, runs dotnet format verification, runs dotnet tests with a real service configuration, and uploads test results.
High-intent search queries and answers about installing and using this skill.
To set up a .NET CI workflow in GitHub Actions, you need a YAML pipeline-as-code structure with restore, build, dotnet format verification, and test stages that fail fast on every push and pull request. This ensures consistent builds and uploads test results automatically.
Automating NuGet package publishing and Docker image builds in Azure DevOps requires repository-tracked YAML workflows with clear release/tag-driven stages. This pipeline-as-code approach prevents configuration drift and ensures safe releases without secret leakage.
Yes, this CI/CD pipeline approach supports both GitHub Actions and Azure DevOps for .NET projects. It generates repository-tracked YAML workflows for both platforms to automate continuous integration, pull request validation, and environment promotion principles.
To prevent secret leakage when publishing .NET artifacts in continuous delivery pipelines, use secret-safe configuration within your YAML workflows. Implementing clear release/tag-driven stages for artifact publishing and container images ensures credentials remain protected during environment promotion.
You should use pipeline-as-code YAML workflows for .NET continuous integration to avoid click-ops and configuration drift. Tracking YAML pipelines in your repository ensures consistent build-test-format gates, enables caching for fast feedback, and maintains reliable environment promotion principles.
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