rushstack-best-practices

Provides best practices and guidance for working with Rush monorepos. Use when the user is working in a Rush-based repository, asks about Rush commands…

npx skills add https://github.com/microsoft/rushstack --skill rushstack-best-practices

Rushstack Best Practices

This skill provides essential best practices for working with Rush monorepos. Following these guidelines ensures efficient dependency management, optimal build performance, and proper command usage.

Important Guidelines

When encountering unclear issues or questions:

  1. Never make assumptions - If unsure about Rush behavior, configuration, or commands
  2. Search official resources first - Check documentation and existing issues before guessing
  3. Provide accurate information - Base responses on verified sources, not assumptions
  4. Ask for clarification - When the problem description is ambiguous or incomplete

Core Principles

  1. Always use Rush commands - Avoid npm/pnpm/yarn directly in a Rush monorepo
  2. Use rushx for single projects - Like npm run, but Rush-aware
  3. rush install vs update - install for CI, update after changes
  4. rush build vs rebuild - build for incremental, rebuild for clean
  5. Projects at 2 levels - Standard: apps/, libraries/, tools/
  6. Selection flags reduce scope - Use --to, --from, --impacted-by
  7. Build cache is automatic - Configure output folders to enable
  8. Subspace for large repos - Isolate dependencies when needed

Project Selection Best Practices

When running commands like install, update, build, rebuild, etc., by default all projects under the entire repository are processed. Use these selection flags to improve efficiency:

--to

Select specified project and all its dependencies.

  • Build specific project and its dependencies
  • Ensure complete dependency chain build
rush build --to @my-company/my-project
rush build --to my-project  # If project name is unique
rush build --to .            # Use current directory's project

--to-except

Select all dependencies of specified project, but not the project itself.

  • Update project dependencies without processing project itself
  • Pre-build dependencies
rush build --to-except @my-company/my-project

--from

Select specified project and all its downstream dependencies.

  • Validate changes' impact on downstream projects
  • Build all projects affected by specific project
rush build --from @my-company/my-library

--impacted-by

Select projects that might be affected by specified project changes, excluding dependencies.

  • Quick test of project change impacts
  • Use when dependency status is already correct
rush build --impacted-by @my-company/my-library

--impacted-by-except

Similar to --impacted-by, but excludes specified project itself.

  • Project itself has been manually built
  • Only need to test downstream impacts
rush build --impacted-by-except @my-company/my-library

--only

Only select specified project, completely ignore dependency relationships.

  • Dependency status is known to be correct
  • Combine with other selection parameters
rush build --only @my-company/my-project
rush build --impacted-by projectA --only projectB

Command Usage Guidelines

Command Tool Selection

Choose the correct command tool based on different scenarios:

  1. rush command - Execute operations affecting the entire repository or multiple projects

    • Strict parameter validation and documentation
    • Support for global and batch commands
    • Suitable for standardized workflows
    • Use cases: Dependency installation, building, publishing
  2. rushx command - Execute specific scripts for a single project

    • Similar to npm run or pnpm run
    • Uses Rush version selector for toolchain consistency
    • Prepares shell environment based on Rush configuration
    • Use cases: Running project-specific build scripts, tests, dev servers
  3. rush-pnpm command - Replace direct use of pnpm in Rush repository

    • Sets correct PNPM workspace context
    • Supports Rush-specific enhancements
    • Provides compatibility checks with Rush
    • Use cases: When direct PNPM commands are needed

Install vs Update

CommandBehaviorWhen to Use
rush updateUpdates shrinkwrap, installs new dependenciesAfter cloning, after git pull, after modifying package.json
rush installRead-only install from existing shrinkwrapCI/CD pipelines, ensuring version consistency

Build vs Rebuild

CommandBehaviorWhen to Use
rush buildIncremental build, only changed projectsDaily development, quick validation
rush rebuildClean build all projectsComplete rebuild needed, investigating issues

Dependency Management

Package Manager Selection

Choose in rush.json:

{
  "pnpmVersion": "8.x.x"     // Preferred - efficient, strict
  // "npmVersion": "8.x.x"   // Alternative
  // "yarnVersion": "1.x.x"  // Alternative
}

Version Constraints

Configure in common/config/subspaces/<subspace>/common-versions.json:

{
  "preferredVersions": {
    "react": "17.0.2",
    "typescript": "~4.5.0"
  },
  "implicitlyPreferredVersions": true,
  "allowedAlternativeVersions": {
    "typescript": ["~4.5.0", "~4.6.0"]
  }
}

Adding/Removing Dependencies

Always use Rush commands, not npm/pnpm directly:

rush add -p lodash --dev      # Add dev dependency
rush add -p react --exact     # Add exact version
rush remove -p lodash         # Remove dependency

Build Cache Configuration

Configure in <project>/config/rush-project.json:

{
  "operationSettings": [
    {
      "operationName": "build",
      "outputFolderNames": ["lib", "dist"],
      "disableBuildCacheForOperation": false,
      "dependsOnEnvVars": ["MY_ENV_VAR"]
    }
  ]
}

Cache Behavior:

  • Cache stored in common/temp/build-cache
  • Invalidated by: source changes, dependency changes, env vars, command params
  • Parallel builds supported via enableParallelism

Troubleshooting

Dependency Issues

  • Avoid npm, pnpm, yarn - use Rush commands
  • Run rush purge to clean environment
  • Run rush update --recheck to force dependency check

Build Issues

  • Use rush rebuild to skip cache
  • Check rushx build output for specific errors
  • Use --verbose for detailed logs

Performance Issues

  • Use selection flags (--to, --from, etc.) to reduce scope
  • Enable build cache in rush-project.json
  • Consider subspace for very large monorepos

Subspace for Large Monorepos

What is Subspace:

  • Allows multiple PNPM lock files in one Rush monorepo
  • Enables independent dependency management per team/project group
  • Reduces risk from dependency updates
  • Improves install/update performance

When to Use:

  • Large monorepos (50+ projects)
  • Multiple teams with different dependency needs
  • Conflicting version requirements
  • Need for faster dependency operations

Official Resources

Documentation & References

Official Websites:

Search Existing Issues:

When to Search vs. Ask

Search these resources first when:

  • Encountering error messages
  • Unsure about configuration options
  • Looking for examples or tutorials
  • Need to understand Rush behavior

Ask the user for clarification when:

  • The specific use case is unclear
  • Multiple approaches are possible
  • Context is missing to provide accurate guidance
  • The issue might be environment-specific

Detailed References

For expanded information on specific domains, see:

  • references/core-commands.md - Detailed command reference
  • references/project-configuration.md - Configuration file specifications
  • references/dependency-management.md - Advanced dependency patterns
  • references/build-system.md - Build optimization and caching
  • references/subspace.md - Subspace setup and usage

More skills from microsoft

oss-growth
microsoft
OSS growth hacker persona
agent-framework-azure-ai-py
microsoft
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.
development
airunway-aks-setup
microsoft
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
devops
appinsights-instrumentation
microsoft
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
devops
applicationinsights-web-ts
microsoft
Instrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Use for Real User Monitoring (RUM) — page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and browser-side GenAI agent traces correlated to backend OpenTelemetry traces. Covers SDK Loader Script and npm setup, framework extensions (React, React Native, Angular), Click Analytics, telemetry initializers, and OTel GenAI semantic conventions for agent/tool/model spans emitted from the browser.
devops
azure-ai-anomalydetector-java
microsoft
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.
development
azure-ai-language-conversations-py
microsoft
Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development