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Typescript Pro

Community
theguysudo
typescript-pro

Implements advanced TypeScript type systems, creates custom type guards, utility types, and branded types, and configures tRPC for end-to-end type safety. Use when building TypeScript applications requiring advanced generics, conditional or mapped types, discriminated unions, monorepo setup, or full-stack type safety with tRPC.

Overview

Publishertheguysudo
RepositoryENZO
Skill nametypescript-pro
Stars
116
Forks
29
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by theguysudo on GitHub. Read the source before you install it.

Installation

Install the Typescript Pro AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/theguysudo/ENZO/tree/main/skills-bundled/typescript-pro
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/theguysudo/ENZO.git /tmp/ENZO
mkdir -p .claude/skills
cp -r /tmp/ENZO/skills-bundled/typescript-pro .claude/skills/typescript-pro
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Typescript Pro in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Typescript Pro on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Typescript Pro is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

TypeScript Pro

Core Workflow

  1. Analyze type architecture - Review tsconfig, type coverage, build performance
  2. Design type-first APIs - Create branded types, generics, utility types
  3. Implement with type safety - Write type guards, discriminated unions, conditional types; run tsc --noEmit to catch type errors before proceeding
  4. Optimize build - Configure project references, incremental compilation, tree shaking; re-run tsc --noEmit to confirm zero errors after changes
  5. Test types - Confirm type coverage with a tool like type-coverage; validate that all public APIs have explicit return types; iterate on steps 3–4 until all checks pass

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
Advanced Typesreferences/advanced-types.mdGenerics, conditional types, mapped types, template literals
Type Guardsreferences/type-guards.mdType narrowing, discriminated unions, assertion functions
Utility Typesreferences/utility-types.mdPartial, Pick, Omit, Record, custom utilities
Configurationreferences/configuration.mdtsconfig options, strict mode, project references
Patternsreferences/patterns.mdBuilder pattern, factory pattern, type-safe APIs

Code Examples

Branded Types

typescript
// Branded type for domain modeling
type Brand<T, B extends string> = T & { readonly __brand: B };
type UserId  = Brand<string, "UserId">;
type OrderId = Brand<number, "OrderId">;

const toUserId  = (id: string): UserId  => id as UserId;
const toOrderId = (id: number): OrderId => id as OrderId;

// Usage — prevents accidental id mix-ups at compile time
function getOrder(userId: UserId, orderId: OrderId) { /* ... */ }

Discriminated Unions & Type Guards

typescript
type LoadingState = { status: "loading" };
type SuccessState = { status: "success"; data: string[] };
type ErrorState   = { status: "error";   error: Error };
type RequestState = LoadingState | SuccessState | ErrorState;

// Type predicate guard
function isSuccess(state: RequestState): state is SuccessState {
  return state.status === "success";
}

// Exhaustive switch with discriminated union
function renderState(state: RequestState): string {
  switch (state.status) {
    case "loading": return "Loading…";
    case "success": return state.data.join(", ");
    case "error":   return state.error.message;
    default: {
      const _exhaustive: never = state;
      throw new Error(`Unhandled state: ${_exhaustive}`);
    }
  }
}

Custom Utility Types

typescript
// Deep readonly — immutable nested objects
type DeepReadonly<T> = {
  readonly [K in keyof T]: T[K] extends object ? DeepReadonly<T[K]> : T[K];
};

// Require exactly one of a set of keys
type RequireExactlyOne<T, Keys extends keyof T = keyof T> =
  Pick<T, Exclude<keyof T, Keys>> &
  { [K in Keys]-?: Required<Pick<T, K>> & Partial<Record<Exclude<Keys, K>, never>> }[Keys];

Recommended tsconfig.json

json
{
  "compilerOptions": {
    "target": "ES2022",
    "module": "NodeNext",
    "moduleResolution": "NodeNext",
    "strict": true,
    "noUncheckedIndexedAccess": true,
    "noImplicitOverride": true,
    "exactOptionalPropertyTypes": true,
    "isolatedModules": true,
    "declaration": true,
    "declarationMap": true,
    "incremental": true,
    "skipLibCheck": false
  }
}

Constraints

MUST DO

  • Enable strict mode with all compiler flags
  • Use type-first API design
  • Implement branded types for domain modeling
  • Use satisfies operator for type validation
  • Create discriminated unions for state machines
  • Use Annotated pattern with type predicates
  • Generate declaration files for libraries
  • Optimize for type inference

MUST NOT DO

  • Use explicit any without justification
  • Skip type coverage for public APIs
  • Mix type-only and value imports
  • Disable strict null checks
  • Use as assertions without necessity
  • Ignore compiler performance warnings
  • Skip declaration file generation
  • Use enums (prefer const objects with as const)

Output Templates

When implementing TypeScript features, provide:

  1. Type definitions (interfaces, types, generics)
  2. Implementation with type guards
  3. tsconfig configuration if needed
  4. Brief explanation of type design decisions

Knowledge Reference

TypeScript 5.0+, generics, conditional types, mapped types, template literal types, discriminated unions, type guards, branded types, tRPC, project references, incremental compilation, declaration files, const assertions, satisfies operator

Documentation

Frequently asked questions

What does the Typescript Pro AI skill do?

Implements advanced TypeScript type systems, creates custom type guards, utility types, and branded types, and configures tRPC for end-to-end type safety. Use when building TypeScript applications requiring advanced generics, conditional or mapped types, discriminated unions, monorepo setup, or full-stack type safety with tRPC.

Why use Typescript Pro on TypingMind?

Because you install it once and use it with any model. Typescript Pro is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Typescript Pro in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/theguysudo/ENZO/tree/main/skills-bundled/typescript-pro. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Typescript Pro?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Typescript Pro?

As many as you like. As long as a model supports skills, you can use Typescript Pro with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Typescript Pro AI skill free?

Yes. It is published on GitHub by theguysudo under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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