nx-generate

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 cal

By nrwl · 2,874 installs

npx skills add nrwl/nx-ai-agents-config --skill nx-generate

Source repository · Upstream listing

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: 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. 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: 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: 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: 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 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.