Which frameworks and environments are compatible with this skill?

It is optimized for complex environments including Node.js, React, and Next.js, and integrates seamlessly with standard package managers like npm, yarn, or pnpm.

How does this skill handle type safety differently than a standard AI prompt?

Unlike general prompts, this skill enforces strict domain modeling and runtime validation, specifically targeting the elimination of 'any' types and fragile interfaces. It prioritizes readable, maintainable architecture over complex 'type gymnastics' that are often hard to debug.

Do I need to have a TypeScript environment already set up to use this?

This skill focuses on enhancing existing TypeScript projects; you will need a project with an active tsconfig.json and a TypeScript environment already initialized to use its full auditing and refactoring capabilities.

What is the typical workflow for refactoring a legacy JavaScript module with this skill?

The skill performs a deep audit of your type boundaries and tsconfig.json to identify unsafe assertions, then systematically refactors modules to use explicit return types and validated data flows.

What is included with my purchase of the TypeScript Engineering skill?

You receive the full TypeScript Engineering skill package, including specialized logic for infrastructure auditing, automated refactoring strategies, and context-aware optimizations for multiple runtimes.

TYPESCRIPT Engineering

Example session with this skill installed

Refactor the following user profile fetching logic to be more type-safe. It currently uses 'any' for the API response and has no runtime validation.

Read your context and instructions
Compiled the typescript engineering

I have refactored the profile fetching logic to remove any types and implement a safe boundary check. The solution introduces a dedicated UserProfile interface and a validation guard to ensure data integrity before it enters your application logic.

Refactored Profile Service

import { z } from 'zod';

// 1. Define the domain model
export interface UserProfile {
  id: string;
  email: string;
  displayName: string;
  role: 'admin' | 'user' | 'guest';
  createdAt: Date;
}

// 2. Define the runtime validation schema
const UserProfileSchema = z.object({
  id: z.string().uuid(),
  email: z.string().email(),
  display_name: z.string().min(1),
  role: z.enum(['admin', 'user', 'guest']),
  created_at: z.string().datetime(),
});

/**
 * Fetches and validates a user profile from the API.
 * Replaces unsafe 'any' with a validated UserProfile type.
 */
export async function fetchUserProfile(userId: string): Promise<UserProfile> {
  const response = await fetch(`/api/users/${userId}`);
  
  if (!response.ok) {
    throw new Error(`Failed to fetch user: ${response.statusText}`);
  }

  const rawData = await response.json();
  
  // 3. Validate at the boundary
  const result = UserProfileSchema.safeParse(rawData);
  
  if (!result.success) {
    console.error('Data validation failed:', result.error.format());
    throw new Error('Invalid user data received from server');
  }

  const { data } = result;

  // 4. Transform to internal domain model
  return {
    id: data.id,
    email: data.email,
    displayName: data.display_name,
    role: data.role,
    createdAt: new Date(data.created_at),
  };
}

Next steps

Install zod via your package manager if not already present.
Update the calling components to handle the new UserProfile return type.
Add a unit test to verify the error handling when the API returns malformed JSON.

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About this skill

Struggling with any types, fragile interfaces, or runtime crashes in your TypeScript codebase? This skill enforces strict type safety and domain modeling to eliminate bugs before they hit production. It shifts the focus from writing loose scripts to engineering resilient systems across Node.js, React, and shared libraries.

What it does

Strict Domain Modeling uses TypeScript types to represent business logic and prevent invalid states.
Boundary Validation implements runtime checks for external data to maintain internal type integrity.
Infrastructure Auditing reviews tsconfig.json, linting rules, and build tools to ensure environment consistency.
Refactoring Strategy decouples complex modules and replaces repetitive shapes with reusable, typed utilities.
Context-Aware Optimization tailors code for specific runtimes including CLI tools, browsers, and Next.js apps.

How it works

Context Analysis by inspecting your environment, package manager, and existing configuration files.
System Audit to identify unsafe boundaries, broad any usage, or assertion-heavy logic.
Strategic Refactor applying explicit return types and simplifying data flow.
Verification via the local type checker and test runner to confirm correctness.

Frameworks & tools

Works with Node.js, React, Next.js, and standard TypeScript build chains. Compatible with various package managers and testing frameworks.

Why this beats prompting it yourself

Generic prompts often produce over-abstracted generics or "magic" types that are hard to maintain. This skill prioritizes explicit, readable patterns and runtime safety over clever type gymnastics.

Use cases

Migrating a legacy JavaScript module to strict, documented TypeScript.
Debugging complex async race conditions or data transformations in Node.js.
Designing a shared component library with robust prop types and clear exports.
Fixing build-time errors caused by conflicting environment configurations.

Known limitations

Requires an existing TypeScript environment. Does not provide micro-optimizations for non-TypeScript runtime performance issues.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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TYPESCRIPT Engineering