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TypeScript Generic Utility Types Library

Build a library of advanced TypeScript utility types for deep partial, branded types, type-safe event emitters, and more.

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What this prompt does

This prompt builds a TypeScript utility-types library for a [project_type]. It generates DeepPartial, DeepRequired, and DeepReadonly for nested objects; branded/nominal types for [branded_types] to stop value mixing; a type-safe event emitter with autocomplete for event names and payloads; StrictOmit and StrictPick that error on non-existent keys; a PathValue type for dot-notation access; builder-pattern types with compile-time validation; a discriminated-union API response wrapper; and an exhaustive assertNever helper. Each type ships with JSDoc, a usage example, and unit tests using [test_framework], exported from a single barrel file.

The structure works because strong types pay off most in shared libraries the whole codebase leans on. Branded IDs from [branded_types] make it impossible to pass a UserId where an OrderId belongs; the type-safe emitter and discriminated-union wrapper catch mistakes at compile time rather than in production. Pairing each utility with type-level tests keeps the library honest as it grows.

When to use it

  • You want a shared utility-types foundation for a [project_type].
  • You need branded types to prevent mixing IDs, emails, or currencies.
  • You want a type-safe event emitter with autocomplete for events and payloads.
  • You need stricter Omit/Pick that error on typo'd keys.
  • You want a discriminated-union wrapper for success/error API responses.
  • You want each utility documented and covered by type-level tests.

Example output

You get a TypeScript library with one file per utility (or grouped sensibly), each carrying JSDoc and a usage example: deep object helpers, branded types for [branded_types], a typed event emitter, StrictOmit/StrictPick, PathValue, builder types, an API response union, and assertNever. A [test_framework] test file with type-level assertions accompanies them, all re-exported from an index barrel.

Pro tips

  • Choose [branded_types] for values that are genuinely interchangeable by accident — IDs, emails, currency amounts.
  • Use the discriminated-union API wrapper everywhere your code handles responses so error cases are exhaustively checked.
  • Lean on assertNever in switch statements to get compile errors when a new variant is added but unhandled.
  • Keep the JSDoc usage examples accurate; they are how the rest of the team learns the utilities.
  • Pick a [test_framework] that supports type-level testing so the library's guarantees are actually verified.
  • Export through the barrel file but watch for circular imports as the library grows.

Frequently Asked Questions

What are branded types and why use them?
Branded types attach a unique tag to a primitive so a UserId cannot be passed where an OrderId is expected, even though both are strings. Listing values in `[branded_types]` prevents an entire class of accidental value-mixing bugs at compile time rather than at runtime.
How is the type-safe event emitter different from a normal one?
It maps event names to payload types, so emitting or listening gives you autocomplete and compile-time errors if a payload shape is wrong. A normal emitter accepts any string and any data, pushing those mistakes to runtime where they are harder to catch.
Are the utilities actually tested?
Yes. The prompt requires unit tests using `[test_framework]`, including type-level assertions. This matters for a utility library because the guarantees are in the types themselves, so type-level tests verify that, for example, DeepPartial and StrictOmit behave correctly as the library evolves.
Can I use this in any TypeScript project?
Yes. Set `[project_type]` to your context, whether a SaaS app, library, or CLI. The utilities are general-purpose TypeScript building blocks. Some, like the API response wrapper, are most useful in apps that make network calls, but the rest apply broadly.
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Engr Mejba Ahmed

AI Developer · Software Engineer

I'm Mejba — I design and ship production AI systems, automations, and full-stack apps. If you want this turned into a working solution for your team, let's talk.

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