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.