Best AI Agent Skills for TypeScript and React Development

Good TypeScript and React skills can turn an AI agent from a code generator into a development partner. The difference shows up in component architecture, type safety, and testing patterns that actually work in production codebases.

Most skills for these frameworks focus on syntax help or basic examples. The valuable ones encode architectural decisions and real-world patterns that save hours of refactoring later.

Component composition over inheritance

React developers know composition beats inheritance, but getting AI agents to consistently apply this principle takes specific guidance. A good skill file teaches agents to prefer props and children patterns over complex class hierarchies.

// Instead of inheritance chains
interface ButtonProps extends BaseProps, ClickableProps, StylableProps {
  variant: 'primary' | 'secondary';
}

// Prefer composition
interface ButtonProps {
  children: React.ReactNode;
  onClick?: () => void;
  className?: string;
  variant?: 'primary' | 'secondary';
}

The skill should include patterns for render props, compound components, and hook composition. These aren't just TypeScript features but React architectural decisions that prevent component trees from becoming unmaintainable.

Skills that teach proper component patterns often include specific examples of when to use each approach. Context providers for global state, custom hooks for stateful logic, and pure components for presentation.

Type-first development patterns

TypeScript's power comes from designing types before implementation. Skills that encode this workflow help agents build more reliable code from the start.

// Define the shape first
type UserProfile = {
  id: string;
  email: string;
  preferences: UserPreferences;
  subscription: SubscriptionTier;
};

// Then build components around it
function ProfileCard({ user }: { user: UserProfile }) {
  // Implementation follows type structure
}

Good TypeScript skills include utility type patterns that solve common problems. Pick<T, K> for component props that need subset of larger interfaces. Omit<T, K> for variations. Record<K, V> for dynamic object structures.

The SKILL.md spec works well for encoding these patterns because it lets you show both the type definitions and their usage context in the same file.

Testing boundaries and contracts

Testing skills matter more than syntax skills. AI agents need guidance on what to test, not just how to write test syntax. The best skills focus on component contracts and user interactions.

// Test the contract, not implementation
test('UserCard displays user information', () => {
  const user = { name: 'Alice', email: 'alice@example.com' };
  render(<UserCard user={user} />);
  
  expect(screen.getByText('Alice')).toBeInTheDocument();
  expect(screen.getByText('alice@example.com')).toBeInTheDocument();
});

Skills should teach testing patterns that survive refactoring. Query by role or text content, not CSS selectors. Test state changes through user interactions, not internal component state directly.

React Testing Library patterns work better than Enzyme patterns for agent-generated tests. The skills that perform best encode RTL's philosophy of testing like a user would interact with the application.

State management boundaries

State management trips up even experienced developers. Skills need to encode clear rules about where state lives and how it flows through component trees.

Local state stays in components when it only affects that component. Shared state moves up to common ancestors. Global state goes in context or external stores like Zustand or Redux Toolkit.

// Local state - stays in component
function Counter() {
  const [count, setCount] = useState(0);
  return <button onClick={() => setCount(c => c + 1)}>{count}</button>;
}

// Shared state - lift to common ancestor
function App() {
  const [user, setUser] = useState<User | null>(null);
  return (
    <UserProvider user={user}>
      <Header />
      <Dashboard />
    </UserProvider>
  );
}

The skill should include specific guidance on when to reach for useCallback, useMemo, and useEffect. These hooks get overused by agents that don't understand their performance implications.

Error handling patterns

TypeScript enables sophisticated error handling, but agents need patterns to follow. Skills should include both synchronous error boundaries and async error handling for data fetching.

// Error boundary for component crashes
class ErrorBoundary extends React.Component<Props, State> {
  static getDerivedStateFromError(error: Error) {
    return { hasError: true };
  }
}

// Async error handling with proper types
async function fetchUser(id: string): Promise<User | null> {
  try {
    const response = await api.get(`/users/${id}`);
    return response.data;
  } catch (error) {
    if (error instanceof NotFoundError) {
      return null;
    }
    throw error;
  }
}

Good error handling skills include TypeScript patterns for discriminated unions that represent success and failure states. This prevents the common mistake of mixing error states with loading states.

Performance-conscious patterns

React performance problems often stem from unnecessary re-renders and expensive computations. Skills should encode patterns that prevent these issues before they start.

Memoization skills need to be specific about when to use React.memo, when to use useMemo, and when to just accept the re-render. Many performance "optimizations" actually hurt performance by adding overhead.

// Memoize expensive computations
const expensiveValue = useMemo(() => {
  return processLargeDataSet(data);
}, [data]);

// Memoize callback functions passed to children
const handleClick = useCallback((id: string) => {
  onItemClick(id);
}, [onItemClick]);

The skill should include guidance on measuring performance impact rather than blindly applying optimizations. React DevTools Profiler patterns and when to care about bundle size.

Real-world integration patterns

The best TypeScript React skills address integration with external systems. API clients, authentication flows, and third-party libraries that don't have perfect TypeScript support.

// Type-safe API client patterns
type ApiResponse<T> = {
  data: T;
  status: number;
  message?: string;
};

async function apiCall<T>(endpoint: string): Promise<ApiResponse<T>> {
  // Implementation with proper error handling
}

These patterns show up in production codebases but rarely in tutorials. Skills that encode real-world patterns help agents generate code that works in existing applications, not just greenfield projects.

The difference between good and great TypeScript React skills comes down to architectural guidance. Syntax help is table stakes. The valuable skills teach agents to make the same decisions experienced developers would make about component structure, type design, and application architecture.

You can browse existing skills to see what patterns other developers have encoded, or create your own skill that captures the specific patterns your team uses.