nx-monorepo

Analyze Nx workspace project graphs and manage monorepo dependencies.

Updated Jan 6, 2026
One-click install
npx skills add https://github.com/salmanparacha/speckitplus-calculator --skill nx-monorepo-salmanparacha
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nx-monorepo
Source: https://github.com/salmanparacha/speckitplus-calculator/tree/main/.claude/skills-nocontext/nx-monorepo
Command: npx skills add https://github.com/salmanparacha/speckitplus-calculator --skill nx-monorepo-salmanparacha

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Nx monorepo management and tooling guidance for AI-native development, enabling scalable codebases and efficient workflows.

Core Features & Use Cases

  • Project graph analysis and visualization
  • Affected detection and incremental builds
  • Code generation and workspace configuration
  • Caching and optimization with Nx Cloud

Quick Start

Install dependencies and begin exploring your Nx workspace with pnpm nx graph.

Frequently Asked Questions about nx-monorepo

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze dependencies in an Nx monorepo project graph?

Nx monorepo dependency analysis uses the project graph to map workspace architecture. By running the `pnpm nx graph` CLI command, you visualize project relationships and enable incremental build detection for efficient codebase scaling.

What is the best way to configure caching and affected detection for Nx workspaces?

Configuring caching for Nx workspaces involves modifying the `nx.json` file to define task outputs and utilizing Nx Cloud for remote cache distribution. This setup enables affected detection to only rebuild projects impacted by code changes.

Do I need to understand JSON configuration files to use Nx code generation?

Yes, understanding JSON configuration is required for Nx code generation. You must configure `nx.json` and `project.json` files to define generators and targets, ensuring the CLI accurately scaffolds code that aligns with your monorepo architecture.

How does incremental build detection work in large Nx monorepos?

Incremental build detection in large Nx monorepos works through the `affected` command, which analyzes the project graph against recent changes. It identifies impacted projects and skips unaffected ones, optimizing CI pipelines using cached task outputs.

Can I use Nx Cloud for caching optimization in scalable AI-native development?

Yes, Nx Cloud provides remote caching optimization for scalable AI-native development. It stores task computation outputs remotely, allowing your workspace to skip redundant builds and tests across local machines and CI environments.