nx-workspace

nrwl/nx-ai-agents-config · updated Apr 8, 2026

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$npx skills add https://github.com/nrwl/nx-ai-agents-config --skill nx-workspace
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summary

Read-only exploration of Nx workspace structure, projects, configuration, and dependencies.

  • Query workspace projects with filtering by name, glob patterns, tags, and target availability using nx show projects
  • Retrieve full resolved project configuration including inferred targets via nx show project <name> --json , avoiding partial project.json reads
  • Inspect target definitions, executors, options, inputs, and outputs to understand available tasks and caching behavior
  • Analyze
skill.md

Nx Workspace Exploration

This skill provides read-only exploration of Nx workspaces. Use it to understand workspace structure, project configuration, available targets, and dependencies.

Keep in mind that you might have to prefix commands with npx/pnpx/yarn if nx isn't installed globally. Check the lockfile to determine the package manager in use.

Listing Projects

Use nx show projects to list projects in the workspace.

The project filtering syntax (-p/--projects) works across many Nx commands including nx run-many, nx release, nx show projects, and more. Filters support explicit names, glob patterns, tag references (e.g. tag:name), directories, and negation (e.g. !project-name).

# List all projects
nx show projects

# Filter by pattern (glob)
nx show projects --projects "apps/*"
nx show projects --projects "shared-*"

# Filter by tag
nx show projects --projects "tag:publishable"
nx show projects -p 'tag:publishable,!tag:internal'

# Filter by target (projects that have a specific target)
nx show projects --withTarget build

# Combine filters
nx show projects --type lib --withTarget test
nx show projects --affected --exclude="*-e2e"
nx show projects -p "tag:scope:client,packages/*"

# Negate patterns
nx show projects -p '!tag:private'
nx show projects -p '!*-e2e'

# Output as JSON
nx show projects --json

Project Configuration

Use nx show project <name> --json to get the full resolved configuration for a project.

Important: Do NOT read project.json directly - it only contains partial configuration. The nx show project --json command returns the full resolved config including inferred targets from plugins.

You can read the full project schema at node_modules/nx/schemas/project-schema.json to understand nx project configuration options.

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

# Extract specific parts from the JSON
nx show project my-app --json | jq '.targets'
nx show project my-app --json | jq '.targets.build'
nx show project my-app --json | jq '.targets | keys'

# Check project metadata
nx show project my-app --json | jq '{name, root, sourceRoot, projectType, tags}'

Target Information

Targets define what tasks can be run on a project.

# List all targets for a project
nx show project my-app --json | jq '.targets | keys'

# Get full target configuration
nx show project my-app --json | jq '.targets.build'

# Check target executor/command
nx show project my-app --json | jq '.targets.build.executor'
nx show project my-app --json | jq '.targets.build.command'

# View target options
nx show project my-app --json | jq '.targets.build.options'

# Check target inputs/outputs (for caching)
nx show project my-app --json | jq '.targets.build.inputs'
nx show project my-app --json | jq '.targets.build.outputs'

# Find projects with a specific target
nx show projects --withTarget serve
nx show projects --withTarget e2e

Workspace Configuration

Read nx.json directly for workspace-level configuration. You can read the full project schema at node_modules/nx/schemas/nx-schema.json to understand nx project configuration options.

# Read the full nx.json
cat nx.json

# Or use jq for specific sections
cat nx.json | jq '.targetDefaults'
cat nx.json | jq '.namedInputs'
cat nx.json | jq '.plugins'
cat nx.json | jq '.generators'

Key nx.json sections:

  • targetDefaults - Default configuration applied to all targets of a given name
  • namedInputs - Reusable input definitions for caching
  • plugins - Nx plugins and their configuration
  • ...and much more, read the schema or nx.json for details

Affected Projects

If the user is asking about affected projects, read the affected projects reference for detailed commands and examples.

Common Exploration Patterns

"What's in this workspace?"

nx show projects
nx show projects --type app
nx show projects --type lib

"How do I build/test/lint project X?"

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

"What depends on library Y?"

# Use the project graph to find dependents
nx graph --print | jq '.graph.dependencies | to_entries[] | select(.value[].target == "Y") | .key'

Programmatic Answers

When processing nx CLI results, use command-line tools to compute the answer programmatically rather than counting or parsing output manually. Always use --json flags to get structured output that can be processed with jq, grep, or other tools you have installed locally.

Listing Projects

nx show projects --json

Example output:

["my-app", "my-app-e2e", "shared-ui", "shared-utils", "api"]

Common operations:

# Count projects
nx show projects --json | jq 'length'

# Filter by pattern
nx show projects --json | jq '.[] | select(startswith("shared-"))'

# Get affected projects as array
nx show projects --affected --json | jq '.'

Project Details

nx show project my-app --json

Example output:

{
  "root": "apps/my-app",
  "name": "my-app",
  "sourceRoot": "apps/my-app/src",
  "projectType": "application",
  "tags": ["type:app", "scope:client"],
  "targets": {
    "build": {
      "executor": "@nx/vite:build",
      "options": { "outputPath": "dist/apps/my-app" }
    },
    "serve": {
      "executor": "@nx/vite:dev-server",
      "options": { "buildTarget": "my-app:build" }
    },
    "test": {
      "executor": "@nx/vite:test",
      "options": {}
    }
  },
  "implicitDependencies": []
}

Common operations:

# Get target names
nx show project my-app --json | jq '.targets | keys'

# Get specific target config
nx show project my-app --json | jq '.targets.build'

# Get tags
nx show project my-app --json | jq '.tags'

# Get project root
nx show project my-app --json | jq -r '.root'

Project Graph

nx graph --print

Example output:

{
  "graph": {
    "nodes": {
      "my-app": {
        "name": "my-app",
        "type": "app",
        "data": { "root": "apps/my-app", "tags": ["type:app"] }
      },
      "shared-ui": {
        "name": "shared-ui",
        "type": "lib",
        "data": { "root": "libs/shared-ui", "tags": ["type:ui"] }
      }
    },
    "dependencies": {
      "my-app": [
        { "source": "my-app", "target": "shared-ui", "type": "static" }
      ],
      "shared-ui": []
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/nrwl/nx-ai-agents-config --skill nx-workspace

The skills CLI fetches nx-workspace from GitHub repository nrwl/nx-ai-agents-config 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

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

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

Ratings

4.538 reviews
  • Shikha Mishra· Dec 28, 2024

    nx-workspace is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Dev Yang· Dec 20, 2024

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

  • Yusuf Abbas· Dec 8, 2024

    nx-workspace fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ganesh Mohane· Dec 4, 2024

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

  • Sakura Brown· Nov 27, 2024

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

  • Ava Khan· Nov 27, 2024

    Registry listing for nx-workspace matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Yash Thakker· Nov 19, 2024

    Keeps context tight: nx-workspace is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Mateo Smith· Nov 11, 2024

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

  • Amina Malhotra· Oct 18, 2024

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

  • Ava Diallo· Oct 18, 2024

    Keeps context tight: nx-workspace is the kind of skill you can hand to a new teammate without a long onboarding doc.

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