Scaffold projects, libraries, and code using Nx generators with workspace pattern consistency.
Works with
Discovers and runs Nx generators for creating apps, libraries, features, and custom workspace artifacts
Prioritizes local workspace generators over plugin generators to maintain repo-specific conventions
Performs dry-run validation before execution to verify correct file placement and structure
Reads generator source code to understand actual behavior beyond schema, ensuring generated co
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionnx-generateExecute the skills CLI command in your project's root directory to begin installation:
Fetches nx-generate from nrwl/nx-ai-agents-config and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate nx-generate. Access via /nx-generate in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Nx generators are powerful tools that scaffold projects, make automated code migrations or automate repetitive tasks in a monorepo. They ensure consistency across the codebase and reduce boilerplate work.
This skill applies when the user wants to:
--no-interactive - Prevents prompts that would hang executionUse the Nx CLI to discover available generators:
npx nx list @nx/reactnpx nx listThis includes plugin generators (e.g., @nx/react:library) and local workspace generators.
Identify which generator(s) could fulfill the user's needs. Consider what artifact type they want, which framework is relevant, and any specific generator names mentioned.
IMPORTANT: When both a local workspace generator and an external plugin generator could satisfy the request, always prefer the local workspace generator. Local generators are customized for the specific repo's patterns.
If no suitable generator exists, you can stop using this skill. However, the burden of proof is high—carefully consider all available generators before deciding none apply.
Use the --help flag to understand available options:
npx nx g @nx/react:library --help
Pay attention to required options, defaults that might need overriding, and options relevant to the user's request.
Default to non-buildable libraries unless there's a specific reason for buildable.
| Type | When to use | Generator flags |
|---|---|---|
| Non-buildable (default) | Internal monorepo libs consumed by apps | No --bundler flag |
| Buildable | Publishing to npm, cross-repo sharing, stable libs for cache hits | --bundler=vite or --bundler=swc |
Non-buildable libs:
.ts/.tsx source directlyBuildable libs:
If unclear, ask the user: "Should this library be buildable (own build step, better caching) or non-buildable (source consumed directly, simpler setup)?"
This step is critical. The schema alone does not tell you everything. Reading the source code helps you:
To find generator source code:
node -e "console.log(require.resolve('@nx/<plugin>/generators.json'));" to find the generators.json, then locate the source from therenode_modules/<plugin>/generators.jsontools/generators/ or a local plugin directory. Search the repo for the generator name.After reading the source, reconsider: Is this the right generator? If not, go back to step 2.
⚠️
--directoryflag behavior can be misleading. It should specify the full path of the generated library or component, not the parent path that it will be generated in.# ✅ Correct - directory is the full path for the library nx g @nx/react:library --directory=libs/my-lib # generates libs/my-lib/package.json and more # ❌ Wrong - this will create files at libs and libs/src/... nx g @nx/react:library --name=my-lib --directory=libs # generates libs/package.json and more
Before generating, examine the target area of the codebase:
Always run with --dry-run first to verify files will be created in the correct location:
npx nx g @nx/react:library --name=my-lib --dry-run --no-interactive
Review the output carefully. If files would be created in the wrong location, adjust your options based on what you learned from the generator source code.
Note: Some generators don't support dry-run (e.g., if they install npm packages). If dry-run fails for this reason, proceed to running the generator for real.
Execute the generator:
nx generate <generator-name> <options> --no-interactive
Tip: New packages often need workspace dependencies wired up (e.g., importing shared types, being consumed by apps). The
link-workspace-packagesskill can help add these correctly.
Generators provide a starting point. Modify the output as needed to:
Important: If you replace or delete generated test files (e.g., *.spec.ts), either write meaningful replacement tests or remove the test target from the project configuration. Empty test suites will cause nx test to fail.
Format all generated/modified files:
nx format --fix
This example is for built-in nx formatting with prettier. There might be other formatting tools for this workspace, use these when appropriate.
Then verify the generated code works. Keep in mind that the changes you make with a generator or subsequent modifications might impact various projects so it's usually not enough to only run targets for the artifact you just created.
# these targets are just an example!
nx run-many -t build,lint,test,typecheck
These targets are common examples used across many workspaces. You should do research into other targets available for this workspace and its projects. CI configuration is usually a good guide for what the critical targets are that have to pass.
If verification fails with manageable issues (a few lint errors, minor type issues), fix them. If issues are extensive, attempt obvious fixes first, then escalate to the user with details about what was generated, what's failing, and what you've attempted.
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Solid pick for teams standardizing on skills: nx-generate is focused, and the summary matches what you get after install.
nx-generate fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend nx-generate for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
nx-generate reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for nx-generate matched our evaluation — installs cleanly and behaves as described in the markdown.
nx-generate has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for nx-generate matched our evaluation — installs cleanly and behaves as described in the markdown.
nx-generate fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
nx-generate is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in nx-generate — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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