.claude/skills/nx-monorepo/SKILL.md
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.
npx skillsauth add Asmayaseen/hackathon-2 nx-monorepoInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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.
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.
# 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
# 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
# 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
# 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
{
"targetDefaults": {
"build": {
"dependsOn": ["^build"],
"cache": true
},
"test": {
"cache": true
},
"lint": {
"cache": true
}
},
"namedInputs": {
"default": ["{projectRoot}/**/*"],
"production": ["default", "!{projectRoot}/**/*.spec.ts"]
},
"defaultBase": "main"
}
{
"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"
}
}
}
}
# 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
# 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"
// In project.json or nx.json
{
"targets": {
"build": {
"inputs": [
"default",
"^production",
{ "externalDependencies": ["next"] }
]
}
}
}
# 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
Python projects use uv workspaces (similar to pnpm workspaces for JS) with manual project.json for Nx:
# 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:
[tool.uv.workspace]
members = [
"apps/panaversity-fs-py",
"apps/my-python-app", # Add new project here
]
# 3. Sync all Python deps from root
uv sync --extra dev
apps/my-python-app/project.json (for Nx):
{
"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" }
}
}
}
# 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
Create libraries that multiple Python apps can import:
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:
# 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.
# 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
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
# Regenerate project graph
nx reset
nx graph
# Verify target is cacheable
cat nx.json | grep -A5 "targetDefaults"
# Check inputs are stable
nx build my-app --verbose
# Show project dependencies
nx graph --focus=my-app
# Check for circular deps
nx graph --file=graph.json
# Review edges in JSON
| 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 |
| 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 |
development
Systematic methodology for debugging bugs, test failures, and unexpected behavior. Use when encountering any technical issue before proposing fixes. Covers root cause investigation, pattern analysis, hypothesis testing, and fix implementation. Use ESPECIALLY when under time pressure, "just one quick fix" seems obvious, or you've already tried multiple fixes. NOT for exploratory code reading.
development
Build beautiful, accessible UIs with shadcn/ui components in Next.js. Use when creating forms, dialogs, tables, sidebars, or any UI components. Covers installation, component patterns, react-hook-form + Zod validation, and dark mode setup. NOT when building non-React applications or using different component libraries.
tools
Implement real-time streaming UI patterns for AI chat applications. Use when adding response lifecycle handlers, progress indicators, client effects, or thread state synchronization. Covers onResponseStart/End, onEffect, ProgressUpdateEvent, and client tools. NOT when building basic chat without real-time feedback.
tools
Builds AI agents using OpenAI Agents SDK with async/await patterns and multi-agent orchestration. Use when creating tutoring agents, building agent handoffs, implementing tool-calling agents, or orchestrating multiple specialists. Covers Agent class, Runner patterns, function tools, guardrails, and streaming responses. NOT when using raw OpenAI API without SDK or other agent frameworks like LangChain.