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build-automation
9 skills found
Use when connecting to Xcode via MCP, using xcrun mcpbridge or the headless mcp-server, or working with ANY Xcode MCP tool (XcodeRead, BuildProject, RunSomeTests, RenderPreview). Covers setup, tool reference, workflows, troubleshooting.
Autonomous iteration loops for .NET: drive a broken build or failing test suite to green with bounded iterations, progress detection, and fail-safe guards that prevent infinite retries and wasted tokens. The build-fix loop (dotnet build, parse, categorize, fix, rebuild) is the primary flow; the test-fix loop is a first-class variant. Invoke when the build is broken, after a major refactor or dependency update, or when the user says "fix the build", "build is broken", "make it compile", "make the
Build and ship Unity 6.3 LTS players: build settings and scenes, player/quality settings, the IL2CPP vs Mono scripting backend, managed code stripping, scripted BuildPipeline.BuildPlayer, and CI/headless builds. Use when configuring or automating a build, choosing a scripting backend, shrinking build size, or when the user mentions Unity build, player settings, IL2CPP, code stripping, or Addressables.
Use when validating Azure DevOps pipeline changes for the VS Code build. Covers queueing builds, checking build status, viewing logs, and iterating on pipeline YAML changes without waiting for full CI runs.
Build, archive, export, upload, and manage Xcode version/build numbers with the current asc xcode helpers before App Store Connect upload or submission. Use when creating an IPA or PKG for upload.
Guidelines when dealing with Makefiles
Use for publishing user packages to flox for use in Flox environments. Use for package distribution and sharing of builds defined in a flox environment.
Use when running builds, executing tests, or improving developer experience workflows - provides structured guidance for build/test execution and DX improvement.
21 production-ready scripts for iOS app testing, building, and automation. Provides semantic UI navigation, build automation, accessibility testing, and simulator lifecycle management. Optimized for AI agents with minimal token output.
