nx-workspace

tech-leads-club/agent-skills · updated May 23, 2026

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$npx skills add https://github.com/tech-leads-club/agent-skills --skill nx-workspace
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summary

Configure, explore, and optimize Nx monorepo workspaces. Use when setting up Nx, exploring workspace structure, configuring project boundaries, analyzing affected projects, optimizing build caching, or implementing CI/CD with affected commands. Keywords — nx, monorepo, workspace, projects, targets, affected. Do NOT use for running tasks (use nx-run-tasks) or code generation with generators (use nx-generate).

skill.md
name
nx-workspace
description
Configure, explore, and optimize Nx monorepo workspaces. Use when setting up Nx, exploring workspace structure, configuring project boundaries, analyzing affected projects, optimizing build caching, or implementing CI/CD with affected commands. Keywords — nx, monorepo, workspace, projects, targets, affected. Do NOT use for running tasks (use nx-run-tasks) or code generation with generators (use nx-generate).

Nx Workspace Management

Quick Start

Exploring workspace: nx show projects and nx show project <name> --json
Running tasks: nx <target> <project> (e.g., nx build my-app)
Affected analysis: nx show projects --affected or nx affected -t <target>

Note: Prefix commands with npx/pnpx/yarn if nx isn't installed globally.

Core Commands

List and Explore Projects

# List all projects
nx show projects

# Filter by type, pattern, or target
nx show projects --type app
nx show projects --projects "apps/*"
nx show projects --withTarget build

# Find affected projects
nx show projects --affected --base=main

Get Project Information

Critical: Always use nx show project <name> --json for full resolved configuration. Do NOT read project.json directly - it contains only partial configuration.

# Get full configuration
nx show project my-app --json

# Extract targets
nx show project my-app --json | jq '.targets | keys'

Configuration schemas:

  • Workspace: node_modules/nx/schemas/nx-schema.json
  • Project: node_modules/nx/schemas/project-schema.json

Run Tasks

# Run specific project
nx build web --configuration=production

# Run affected
nx affected -t test --base=main

# View dependency graph
nx graph

Workspace Architecture

workspace/
├── apps/              # Deployable applications
├── libs/              # Shared libraries
│   ├── shared/        # Shared across scopes
│   └── feature/       # Feature-specific
├── nx.json            # Workspace configuration
└── tools/             # Custom executors/generators

Library Types

TypePurposeExample
featureBusiness logic, smart componentsfeature-auth
uiPresentational componentsui-buttons
data-accessAPI calls, state managementdata-access-users
utilPure functions, helpersutil-formatting

Detailed Resources

Configuration: See reference/configuration.md for:

  • nx.json templates and options
  • project.json structure
  • Module boundary rules
  • Remote caching setup

Commands: See reference/commands.md for:

  • Complete command reference
  • Advanced filtering options
  • Common workflows

CI/CD: See reference/ci-cd.md for:

  • GitHub Actions configuration
  • GitLab CI setup
  • Jenkins, Azure Pipelines, CircleCI examples
  • Affected commands in pipelines

Best Practices: See reference/best-practices.md for:

  • Do's and don'ts
  • Complete troubleshooting guide
  • Performance optimization
  • Migration guides

Common Workflows

"What's in this workspace?"

nx show projects --type app  # List applications
nx show projects --type lib  # List libraries

"How do I run project X?"

nx show project X --json | jq '.targets | keys'

"What changed?"

nx show projects --affected --base=main

Quick Troubleshooting

  • Targets not showing: Use nx show project <name> --json, not project.json
  • Affected not working: Ensure git history available (fetch-depth: 0 in CI)
  • Cache issues: Run nx reset

For detailed troubleshooting, see reference/best-practices.md.

how to use nx-workspace

How to use nx-workspace on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add nx-workspace
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/tech-leads-club/agent-skills --skill nx-workspace

The skills CLI fetches nx-workspace from GitHub repository tech-leads-club/agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/nx-workspace

Reload or restart Cursor to activate nx-workspace. Access the skill through slash commands (e.g., /nx-workspace) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.653 reviews
  • Liam Verma· Dec 20, 2024

    nx-workspace has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Michael Mensah· Dec 16, 2024

    Useful defaults in nx-workspace — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Shikha Mishra· Dec 8, 2024

    We added nx-workspace from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kabir Harris· Dec 8, 2024

    We added nx-workspace from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Rahul Santra· Nov 27, 2024

    Useful defaults in nx-workspace — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Noah Nasser· Nov 27, 2024

    Useful defaults in nx-workspace — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Diya Okafor· Nov 15, 2024

    I recommend nx-workspace for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Liam Robinson· Nov 11, 2024

    Solid pick for teams standardizing on skills: nx-workspace is focused, and the summary matches what you get after install.

  • Chinedu Sharma· Nov 7, 2024

    We added nx-workspace from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Zara Malhotra· Oct 26, 2024

    nx-workspace reduced setup friction for our internal harness; good balance of opinion and flexibility.

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