link-workspace-packages

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 link-workspace-packages
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summary

Link workspace packages in monorepos across npm, yarn, pnpm, and bun.

  • Detects package manager via packageManager field or lockfile presence, then uses the appropriate workspace linking command for each manager
  • pnpm and yarn use workspace: protocol; npm auto-symlinks workspace packages; bun supports workspace: protocol
  • Resolves \"cannot find module\" and import resolution errors by adding dependencies between sibling packages with proper symlink creation
  • Each manager has different
skill.md

Link Workspace Packages

Add dependencies between packages in a monorepo. All package managers support workspaces but with different syntax.

Detect Package Manager

Check whether there's a packageManager field in the root-level package.json.

Alternatively check lockfile in repo root:

  • pnpm-lock.yaml → pnpm
  • yarn.lock → yarn
  • bun.lock / bun.lockb → bun
  • package-lock.json → npm

Workflow

  1. Identify consumer package (the one importing)
  2. Identify provider package(s) (being imported)
  3. Add dependency using package manager's workspace syntax
  4. Verify symlinks created in consumer's node_modules/

pnpm

Uses workspace: protocol - symlinks only created when explicitly declared.

# From consumer directory
pnpm add @org/ui --workspace

# Or with --filter from anywhere
pnpm add @org/ui --filter @org/app --workspace

Result in package.json:

{ "dependencies": { "@org/ui": "workspace:*" } }

yarn (v2+/berry)

Also uses workspace: protocol.

yarn workspace @org/app add @org/ui

Result in package.json:

{ "dependencies": { "@org/ui": "workspace:^" } }

npm

No workspace: protocol. npm auto-symlinks workspace packages.

npm install @org/ui --workspace @org/app

Result in package.json:

{ "dependencies": { "@org/ui": "*" } }

npm resolves to local workspace automatically during install.


bun

Supports workspace: protocol (pnpm-compatible).

cd packages/app && bun add @org/ui

Result in package.json:

{ "dependencies": { "@org/ui": "workspace:*" } }

Examples

Example 1: pnpm - link ui lib to app

pnpm add @org/ui --filter @org/app --workspace

Example 2: npm - link multiple packages

npm install @org/data-access @org/ui --workspace @org/dashboard

Example 3: Debug "Cannot find module"

  1. Check if dependency is declared in consumer's package.json
  2. If not, add it using appropriate command above
  3. Run install (pnpm install, npm install, etc.)

Notes

  • Symlinks appear in <consumer>/node_modules/@org/<package>
  • Hoisting differs by manager:
    • npm/bun: hoist shared deps to root node_modules
    • pnpm: no hoisting (strict isolation, prevents phantom deps)
    • yarn berry: uses Plug'n'Play by default (no node_modules)
  • Root package.json should have "private": true to prevent accidental publish
how to use link-workspace-packages

How to use link-workspace-packages 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 link-workspace-packages
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 link-workspace-packages

The skills CLI fetches link-workspace-packages 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/link-workspace-packages

Reload or restart Cursor to activate link-workspace-packages. Access the skill through slash commands (e.g., /link-workspace-packages) 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

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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)
  • No comments yet — start the thread.
general reviews

Ratings

4.725 reviews
  • Dhruvi Jain· Dec 16, 2024

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

  • James Kapoor· Dec 8, 2024

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

  • Oshnikdeep· Nov 7, 2024

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

  • Ganesh Mohane· Oct 26, 2024

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

  • Sakshi Patil· Sep 5, 2024

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

  • Aditi Verma· Sep 1, 2024

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

  • Chaitanya Patil· Aug 24, 2024

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

  • Aditi Robinson· Aug 20, 2024

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

  • Rahul Santra· Jul 23, 2024

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

  • Piyush G· Jul 15, 2024

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

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