nx-generate — Claude Code skill: scaffold code with Nx generators
A skill that tells the agent how to run Nx generators in a monorepo: pick the right one, dry-run it, then scaffold without breaking repo conventions.
npx skills add nrwl/nx-ai-agents-config --skill nx-generate -a claude-codeWhat nx-generate does
The skill kicks in when you ask the agent to create something in a monorepo — an app, a library, a feature scaffold. The agent lists generators with npx nx list, checks the options, and runs the one that fits. One rule is spelled out: when both a local workspace generator and a plugin generator could do the job, the local one wins, because it already matches the repo's patterns.
Before running anything, the agent reads the generator's source code, not just its schema. That way it knows which files get created and which configs get touched. It then compares against similar artifacts already in the repo and does a --dry-run to check file placement. The --no-interactive flag goes on every call, otherwise the run hangs on a prompt.
The --directory flag is the usual trap: it takes the full path of the library, not the parent folder. Pass --directory=libs and you get files in libs and libs/src. The skill advises the full form, like libs/my-lib. After generation the code is formatted and checked with lint, tests and build.
What it helps with
- create a new library that follows the repo's conventions
- scaffold an app on the framework the workspace already uses
- run a custom workspace generator
- check where files will land before running the generator for real
- format generated code and pass lint and tests
Example prompts for the agent
- create a new library in libs/shared/ui
- scaffold a new React app in this workspace
- what generators does @nx/react expose
How to install nx-generate
1Skills CLI (Vercel)
npx skills add nrwl/nx-ai-agents-config --skill nx-generate -a claude-code2Manually: put the files in place
~/.claude/skills/nx-generate/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/nx-generate/
1Skills CLI (Vercel)
npx skills add nrwl/nx-ai-agents-config --skill nx-generate -a codex2Manually: put the files in place
.agents/skills/nx-generate/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add nrwl/nx-ai-agents-config --skill nx-generate -a cursor2Manually: put the files in place
.cursor/skills/nx-generate/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install nrwl/nx-ai-agents-config nx-generate2Manually: put the files in place
.github/skills/nx-generate/SKILL.md1Skills CLI (Vercel)
npx skills add nrwl/nx-ai-agents-config --skill nx-generate -a gemini-cli2Platform CLI
gemini skills install https://github.com/nrwl/nx-ai-agents-config --path skills/nx-generateManually: put the files in place
.devin/skills/nx-generate/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add nrwl/nx-ai-agents-config --skill nx-generate -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about nx-generate
How do I install nx-generate in Claude?
Run npx skills add nrwl/nx-ai-agents-config --skill nx-generate -a claude-code. The skill lands in ~/.claude/skills/nx-generate/SKILL.md.
What does nx-generate do?
It walks the agent through Nx generators: finding the right one, reading its options, dry-running it, and scaffolding code in a monorepo.
Why does the agent always pass --no-interactive?
Without it the generator prompts for input and the run hangs. The skill requires the flag on every call.
Source text
SKILL.md · MIT
---
name: nx-generate
description: Generate code using nx generators. INVOKE IMMEDIATELY when user mentions scaffolding, setup, structure, creating apps/libs, or setting up project structure. Trigger words - scaffold, setup, create a new app, create a new lib, project structure, generate, add a new project. ALWAYS use this BEFORE calling nx_docs or exploring - this skill handles discovery internally.
subagent: general-purpose
context: fork
---
# 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
## Key Principles
1. **Always use `--no-interactive`** - Prevents prompts that would hang execution
2. **Read the generator source code** - The schema alone is not enough; understand what the generator actually does
3. **Match existing repo patterns** - Study similar artifacts in the repo and follow their conventions
4. **Verify with lint/test/build/typecheck etc.** - Generated code must pass verification. The listed targets are just an example, use what's appropriate for this workspace.
## Steps
### 1. Discover Available Generators
Use the Nx CLI to discover available generators:
- List all generators for a plugin: `npx nx list @nx/react`
- View available plugins: `npx nx list`
This includes plugin generators (e.g., `@nx/react:library`) and local workspace generators.
### 2. Match Generator to User Request
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.
### 3. Get Generator Options
Use the `--help` flag to understand available options:
```bash
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.
### Library Buildability
**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:
- Export `.ts`/`.tsx` source directly
- Consumer's bundler compiles them
- Faster dev experience, less config
Buildable libs:
- Have their own build target
- Useful for stable libs that rarely change (cache hits)
- Required for npm publishing
**If unclear, ask the user:** "Should this library be buildable (own build step, better caching) or non-buildable (source consumed directly, simpler setup)?"
### 4. Read Generator Source Code
**This step is critical.** The schema alone does not tell you everything. Reading the source code helps you:
- Know exactly what files will be created/modified and where
- Understand side effects (updating configs, installing deps, etc.)
- Identify behaviors and options not obvious from the schema
- Understand how options interact with each other
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: Typically in `tools/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.
> **⚠️ `--directory` flag 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.
>
> ```bash
> # ✅ 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
> ```
### 5. Examine Existing Patterns
Before generating, examine the target area of the codebase:
- Look at similar existing artifacts (other libraries, applications, etc.)
- Identify naming conventions, file structures, and configuration patterns
- Note which test runners, build tools, and linters are used
- Configure the generator to match these patterns
### 6. Dry-Run to Verify File Placement
**Always run with `--dry-run` first** to verify files will be created in the correct location:
```bash
npx nx g @nx/react:library --directory=libs/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.
### 7. Run the Generator
Execute the generator:
```bash
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-packages` skill can help add these correctly.
### 8. Modify Generated Code (If Needed)
Generators provide a starting point. Modify the output as needed to:
- Add or modify functionality as requested
- Adjust imports, exports, or configurations
- Integrate with existing code patterns
**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.
### 9. Format and Verify
Format all generated/modified files:
```bash
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.
```bash
# 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.
© nrwl · MIT · nrwl/nx-ai-agents-config