nx-monorepo
Nx monorepo management skill for AI-native development. This skill should be used when working with Nx workspaces, project graphs, affected detection, code generation, and caching. Use when: analyzing dependencies, running affected commands, generating code, configuring Nx Cloud, or optimizing build performance. Invoke nx-mcp tools for documentation queries.
Best use case
nx-monorepo is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Nx monorepo management skill for AI-native development. This skill should be used when working with Nx workspaces, project graphs, affected detection, code generation, and caching. Use when: analyzing dependencies, running affected commands, generating code, configuring Nx Cloud, or optimizing build performance. Invoke nx-mcp tools for documentation queries.
Nx monorepo management skill for AI-native development. This skill should be used when working with Nx workspaces, project graphs, affected detection, code generation, and caching. Use when: analyzing dependencies, running affected commands, generating code, configuring Nx Cloud, or optimizing build performance. Invoke nx-mcp tools for documentation queries.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "nx-monorepo" skill to help with this workflow task. Context: Nx monorepo management skill for AI-native development. This skill should be used when working with Nx workspaces, project graphs, affected detection, code generation, and caching. Use when: analyzing dependencies, running affected commands, generating code, configuring Nx Cloud, or optimizing build performance. Invoke nx-mcp tools for documentation queries.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/nx-monorepo/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How nx-monorepo Compares
| Feature / Agent | nx-monorepo | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Nx monorepo management skill for AI-native development. This skill should be used when working with Nx workspaces, project graphs, affected detection, code generation, and caching. Use when: analyzing dependencies, running affected commands, generating code, configuring Nx Cloud, or optimizing build performance. Invoke nx-mcp tools for documentation queries.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Nx Monorepo
## Overview
This skill provides expert-level capabilities for Nx monorepo management. Nx is the standard build orchestrator for this AI-native platform due to its official MCP server integration.
**Why Nx**: Official MCP server, TypeScript-native, 5-minute setup, auto-generates CLAUDE.md/AGENTS.md for AI assistants.
## MCP Tools Available
```
nx_docs - Query Nx documentation
nx_available_plugins - List official Nx plugins (NOT installed by default)
```
**Key Insight**: MCP provides documentation lookup. Use **Nx CLI** for all operations.
## Core CLI Commands
### Project Graph Analysis
```bash
# View interactive project graph
nx graph
# JSON output for programmatic use
nx graph --file=output.json
# Show dependencies of specific project
nx graph --focus=my-app
# Show what depends on a project
nx graph --affected
```
### Affected Detection
```bash
# What's affected since main?
nx affected -t build
nx affected -t test
nx affected -t lint
# Compare against specific base
nx affected -t build --base=origin/main --head=HEAD
# Show affected projects only
nx show projects --affected
```
### Running Tasks
```bash
# Run task for all projects
nx run-many -t build
nx run-many -t test
# Run for specific projects
nx run-many -t build --projects=app-a,lib-b
# Run with parallelism control
nx run-many -t build --parallel=4
# Single project
nx build my-app
nx test my-lib
```
### Code Generation
```bash
# List available generators
nx list @nx/next
nx list @nx/react
# Generate new application
nx g @nx/next:app my-app
nx g @nx/react:app my-frontend
# Generate library
nx g @nx/js:lib shared-utils
nx g @nx/react:lib ui-components
# Dry run (preview)
nx g @nx/next:app my-app --dry-run
```
## Configuration Files
### nx.json (Workspace Config)
```json
{
"targetDefaults": {
"build": {
"dependsOn": ["^build"],
"cache": true
},
"test": {
"cache": true
},
"lint": {
"cache": true
}
},
"namedInputs": {
"default": ["{projectRoot}/**/*"],
"production": ["default", "!{projectRoot}/**/*.spec.ts"]
},
"defaultBase": "main"
}
```
### project.json (Project Config)
```json
{
"name": "my-app",
"projectType": "application",
"targets": {
"build": {
"executor": "@nx/next:build",
"outputs": ["{options.outputPath}"],
"options": {
"outputPath": "dist/apps/my-app"
}
},
"serve": {
"executor": "@nx/next:server",
"options": {
"buildTarget": "my-app:build"
}
}
}
}
```
## Caching
### Local Cache
```bash
# Cache is automatic for cacheable targets
nx build my-app # First run: executes
nx build my-app # Second run: cached (instant)
# Clear cache
nx reset
```
### Nx Cloud (Remote Cache)
```bash
# Connect to Nx Cloud
npx nx connect
# Or add manually
nx g @nx/workspace:ci-workflow
# Verify connection
nx run-many -t build
# Look for: "Remote cache hit"
```
### Cache Inputs
```json
// In project.json or nx.json
{
"targets": {
"build": {
"inputs": [
"default",
"^production",
{ "externalDependencies": ["next"] }
]
}
}
}
```
## Common Patterns
### Adding a New JS/TS App
```bash
# 1. Add plugin (if not already installed)
pnpm nx add @nx/next # For Next.js
pnpm nx add @nx/react # For React
pnpm nx add @nx/node # For Node/Express
# 2. Generate app
pnpm nx g @nx/next:app dashboard --directory=apps/dashboard
# 3. Verify in graph
pnpm nx graph --focus=dashboard
# 4. Build & Serve
pnpm nx build dashboard
pnpm nx serve dashboard
```
### Adding a Python App (uv Workspace)
Python projects use **uv workspaces** (similar to pnpm workspaces for JS) with manual `project.json` for Nx:
```bash
# 1. Create directory and initialize
mkdir -p apps/my-python-app
cd apps/my-python-app
uv init
uv add --group dev pytest ruff mypy
cd ../..
# 2. Add to uv workspace (root pyproject.toml)
```
Edit root `pyproject.toml`:
```toml
[tool.uv.workspace]
members = [
"apps/panaversity-fs-py",
"apps/my-python-app", # Add new project here
]
```
```bash
# 3. Sync all Python deps from root
uv sync --extra dev
```
**apps/my-python-app/project.json** (for Nx):
```json
{
"name": "my-python-app",
"projectType": "application",
"targets": {
"build": {
"command": "uv build",
"options": { "cwd": "apps/my-python-app" }
},
"test": {
"command": "uv run --extra dev pytest",
"options": { "cwd": "apps/my-python-app" }
},
"lint": {
"command": "uv run --extra dev ruff check .",
"options": { "cwd": "apps/my-python-app" }
}
}
}
```
```bash
# 4. Verify Nx recognizes it
pnpm nx show projects
pnpm nx graph --focus=my-python-app
# 5. Run tasks via Nx
pnpm nx test my-python-app
```
### Shared Python Libraries
Create libraries that multiple Python apps can import:
```bash
mkdir -p libs/auth-common-py
cd libs/auth-common-py
uv init --lib
cd ../..
# Add to workspace members, then uv sync
```
Reference in dependent projects:
```toml
# apps/my-python-app/pyproject.toml
[project]
dependencies = ["auth-common-py"]
[tool.uv.sources]
auth-common-py = { workspace = true }
```
**Key Insight**: uv manages Python deps via workspace, Nx orchestrates tasks. Single `uv.lock` at root.
### Creating Shared Libraries
```bash
# JS/TS UI library
pnpm nx g @nx/react:lib ui --directory=libs/shared/ui
# JS/TS Utility library
pnpm nx g @nx/js:lib utils --directory=libs/shared/utils
# Domain library
pnpm nx g @nx/js:lib auth --directory=libs/domain/auth
```
### CI Pipeline (GitHub Actions)
```yaml
name: CI
on: [push, pull_request]
jobs:
main:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0
- uses: pnpm/action-setup@v2
- uses: actions/setup-node@v4
with:
node-version: 20
cache: 'pnpm'
- run: pnpm install --frozen-lockfile
# Affected-only builds
- run: npx nx affected -t lint build test --base=origin/main
```
## Troubleshooting
### "Cannot find project"
```bash
# Regenerate project graph
nx reset
nx graph
```
### Cache Not Working
```bash
# Verify target is cacheable
cat nx.json | grep -A5 "targetDefaults"
# Check inputs are stable
nx build my-app --verbose
```
### Dependency Issues
```bash
# Show project dependencies
nx graph --focus=my-app
# Check for circular deps
nx graph --file=graph.json
# Review edges in JSON
```
## Quick Reference
| Task | Command |
|------|---------|
| Interactive graph | `pnpm nx graph` |
| Affected build | `pnpm nx affected -t build` |
| Run all tests | `pnpm nx run-many -t test` |
| Generate JS/TS app | `pnpm nx g @nx/next:app name` |
| Generate JS/TS lib | `pnpm nx g @nx/js:lib name` |
| Add plugin | `pnpm nx add @nx/next` |
| Clear cache | `pnpm nx reset` |
| Show projects | `pnpm nx show projects` |
| List generators | `pnpm nx list @nx/next` |
### Python-Specific (uv)
| Task | Command |
|------|---------|
| Init Python project | `cd apps/name && uv init` |
| Add runtime dep | `uv add <package>` |
| Add dev dep | `uv add --group dev <package>` |
| Sync deps | `uv sync --extra dev` |
| Run via Nx | `pnpm nx test my-python-app` |
## Related Skills
- **monorepo-workflow**: PR stacking, trunk-based development, code review
- **monorepo-team-lead**: CODEOWNERS, human-AI task routing, RFC processRelated Skills
monorepo-management
Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.
monorepo-architect
Expert in monorepo architecture, build systems, and dependency management at scale. Masters Nx, Turborepo, Bazel, and Lerna for efficient multi-project development. Use PROACTIVELY for monorepo setup,
azure-quotas
Check/manage Azure quotas and usage across providers. For deployment planning, capacity validation, region selection. WHEN: "check quotas", "service limits", "current usage", "request quota increase", "quota exceeded", "validate capacity", "regional availability", "provisioning limits", "vCPU limit", "how many vCPUs available in my subscription".
raindrop-io
Manage Raindrop.io bookmarks with AI assistance. Save and organize bookmarks, search your collection, manage reading lists, and organize research materials. Use when working with bookmarks, web research, reading lists, or when user mentions Raindrop.io.
zlibrary-to-notebooklm
自动从 Z-Library 下载书籍并上传到 Google NotebookLM。支持 PDF/EPUB 格式,自动转换,一键创建知识库。
discover-skills
当你发现当前可用的技能都不够合适(或用户明确要求你寻找技能)时使用。本技能会基于任务目标和约束,给出一份精简的候选技能清单,帮助你选出最适配当前任务的技能。
web-performance-seo
Fix PageSpeed Insights/Lighthouse accessibility "!" errors caused by contrast audit failures (CSS filters, OKLCH/OKLAB, low opacity, gradient text, image backgrounds). Use for accessibility-driven SEO/performance debugging and remediation.
project-to-obsidian
将代码项目转换为 Obsidian 知识库。当用户提到 obsidian、项目文档、知识库、分析项目、转换项目 时激活。 【激活后必须执行】: 1. 先完整阅读本 SKILL.md 文件 2. 理解 AI 写入规则(默认到 00_Inbox/AI/、追加式、统一 Schema) 3. 执行 STEP 0: 使用 AskUserQuestion 询问用户确认 4. 用户确认后才开始 STEP 1 项目扫描 5. 严格按 STEP 0 → 1 → 2 → 3 → 4 顺序执行 【禁止行为】: - 禁止不读 SKILL.md 就开始分析项目 - 禁止跳过 STEP 0 用户确认 - 禁止直接在 30_Resources 创建(先到 00_Inbox/AI/) - 禁止自作主张决定输出位置
obsidian-helper
Obsidian 智能笔记助手。当用户提到 obsidian、日记、笔记、知识库、capture、review 时激活。 【激活后必须执行】: 1. 先完整阅读本 SKILL.md 文件 2. 理解 AI 写入三条硬规矩(00_Inbox/AI/、追加式、白名单字段) 3. 按 STEP 0 → STEP 1 → ... 顺序执行 4. 不要跳过任何步骤,不要自作主张 【禁止行为】: - 禁止不读 SKILL.md 就开始工作 - 禁止跳过用户确认步骤 - 禁止在非 00_Inbox/AI/ 位置创建新笔记(除非用户明确指定)
internationalizing-websites
Adds multi-language support to Next.js websites with proper SEO configuration including hreflang tags, localized sitemaps, and language-specific content. Use when adding new languages, setting up i18n, optimizing for international SEO, or when user mentions localization, translation, multi-language, or specific languages like Japanese, Korean, Chinese.
google-official-seo-guide
Official Google SEO guide covering search optimization, best practices, Search Console, crawling, indexing, and improving website search visibility based on official Google documentation
github-release-assistant
Generate bilingual GitHub release documentation (README.md + README.zh.md) from repo metadata and user input, and guide release prep with git add/commit/push. Use when the user asks to write or polish README files, create bilingual docs, prepare a GitHub release, or mentions release assistant/README generation.