Generate code using nx generators. USE WHEN scaffolding code or transforming existing code - for example creating libraries or applications, or anything else that is boilerplate code or automates repetitive tasks. ALWAYS use this first when generating code with Nx instead of calling MCP tools or running nx generate immediately.
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Generate code using nx generators. USE WHEN scaffolding code or transforming existing code - for example creating libraries or applications, or anything else that is boilerplate code or automates repetitive tasks. ALWAYS use this first when generating code with Nx instead of calling MCP tools or running nx generate immediately.
Run Nx Generator
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:
Create new projects like libraries or applications
Scaffold features or boilerplate code
Run workspace-specific or custom generators
Do anything else that an nx generator exists for
Generator Discovery Flow
Step 1: List Available Generators
Use the Nx CLI to discover available generators:
List all generators for a plugin: npx nx list @nx/react
Local workspace generators (defined in the repo's own plugins)
Step 2: Match Generator to User Request
Based on the user's request, identify which generator(s) could fulfill their needs. Consider:
What artifact type they want to create (library, application, etc.)
Which framework or technology stack is relevant
Whether they mentioned specific generator names
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 and conventions.
It's possible that the user request is something that no Nx generator exists for whatsoever. In this case, you can stop using this skill and try to help the user another way. HOWEVER, the burden of proof for this is high. Before aborting, carefully consider each and every generator that's available. Look into details for any that could be related in any way before making this decision.
Pre-Execution Checklist
Before running any generator, complete these steps:
1. Fetch Generator Schema
Use the --help flag to understand all available options:
npx nx g @nx/react:library --help
Pay attention to:
Required options that must be provided
Optional options that may be relevant to the user's request
Default values that might need to be overridden
2. Read Generator Source Code
Understanding what the generator actually does helps you:
Know what files will be created/modified
Understand any side effects (updating configs, installing deps, etc.)
Identify options that might not be obvious from the schema
To find generator source code:
For plugin generators: Use node -e "console.log(require.resolve('@nx/<plugin>/generators.json'));" to find the generators.json, then locate the source from there
If that fails, read directly from node_modules/<plugin>/generators.json
For local generators: They are typically in tools/generators/ or a local plugin directory. You can search the repo for the generator name to find it.
2.5 Reevaluate if the generator is right
Once you have built up an understanding of what the selected generator does, reconsider: Is this the right generator to service the user request?
If not, it's okay to go back to the Generator Discovery Flow and select a different generator before proceeding. If you do, make sure to go through the entire pre-execution checklist once more.
3. Understand Repo Context
Before generating, examine the target area of the codebase:
Look at similar existing artifacts (other libraries, applications, etc.)
Identify patterns and conventions used in the repo
Note naming conventions, file structures, and configuration patterns
Try to match these patterns when configuring the generator
For example, if similar libraries are using a specific test runner, build tool or linter, try to match that if possible.
If projects or other artifacts are organized with a specific naming convention, try to match it.
4. Validate Required Options
Ensure all required options have values:
Map the user's request to generator options
Infer values from context where possible
Ask the user for any critical missing information
Execution
Keep in mind that you might have to prefix things with npx/pnpx/yarn if the user doesn't have nx installed globally.
Many generators will behave differently based on where they are executed. For example, first-party nx library generators use the cwd to determine the directory that the library should be placed in. This is highly important.
Consider Dry-Run (Optional)
Running with --dry-run first is strongly encouraged but not mandatory. Use your judgment:
For complex generators or unfamiliar territory: do a dry-run first
For simple, well-understood generators: may proceed directly
Dry-run shows file names and created/deleted/modified markers, but not content
There are cases where a generator does not support dry-run (for example if it had to install an npm package) - in that case --dry-run might fail. Don't be discouraged but simply move on to running the generator for real and iterating from there.
Diagnose the error - Read the error message carefully
Identify the cause - Missing options, invalid values, conflicts, etc.
Attempt automatic fix - Adjust options or resolve conflicts
Retry - Run the generator again with corrected options
Common failure reasons:
Missing required options
Invalid option values
Conflicting with existing files
Missing dependencies
Generator doesn't support certain flag combinations
Post-Generation
1. Modify Generated Code (If Needed)
Generators provide a starting point, but the output may need adjustment to match the user's specific requirements:
Add or modify functionality as requested
Adjust imports, exports, or configurations
Integrate with existing code patterns in the repo
2. Format Code
Run formatting on all generated/modified files:
nx format --fix
Languages other than javascript/typescript might need other formatting invocations too.
3. Run Verification
Verify that the generated code works correctly. What this looks like will vary depending on the type of generator and the targets available.
If the generator created a new project, run its targets directly
Use your best judgement to determine what needs to be verified.
Example:
nx lint <new-project>
nx test <new-project>
nx build <new-project>
4. Handle Verification Failures
When verification fails:
If scope is manageable (a few lint errors, minor type issues):
Fix the issues
Re-run verification to confirm
If issues are extensive (many errors, complex problems):
Attempt simple, obvious fixes first
If still failing, escalate to the user with:
Description of what was generated
What verification is failing
What you've attempted to fix
Remaining issues that need user input
Error Handling
Generator Failures
Check the error message for specific causes
Verify all required options are provided
Check for conflicts with existing files
Ensure the generator name and options are correct
Missing Options
Consult the generator schema for required fields
Infer values from context when reasonable
Ask the user for values that cannot be inferred
Key Principles
Local generators first - Always prefer workspace/local generators over external plugin generators when both could work
Understand before running - Read both the schema AND the source code to fully understand what will happen
No prompts - Always use --no-interactive to prevent hanging
Generators are starting points - Modify the output as needed to fully satisfy the user's requirements
Verify changes work - Don't just generate; ensure the code builds, lints, and tests pass
Be proactive about fixes - Don't just report errors; attempt to resolve them automatically when possible
Match repo patterns - Study existing similar code in the repo and match its conventions
