/expo-data-fetching
Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, loading/empty/error screen states, and Expo Router data loaders (`useLoaderData`).
Claude Code
$ npx -y skills add expo/skills --skill expo-data-fetching --agent claude-code
Codex
$ npx skills add expo/skills --skill expo-data-fetching -a codex -y
Cursor
$ npx skills add expo/skills --skill expo-data-fetching -a cursor -y
Gemini CLI
$ npx skills add expo/skills --skill expo-data-fetching -a gemini-cli -y
GitHub Copilot
$ npx skills add expo/skills --skill expo-data-fetching -a github-copilot -y
OpenCode
$ npx skills add expo/skills --skill expo-data-fetching -a opencode -y
Windsurf
$ npx skills add expo/skills --skill expo-data-fetching -a windsurf -y
SKILL.md
expo-data-fetching.SKILL.mdname: expo-data-fetching
description: Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, loading/empty/error screen states, and Expo Router data loaders (`useLoaderData`).
license: MIT
Expo Networking
**You MUST use this skill for ANY networking work including API requests, data fetching, caching, or network debugging.**
References
Consult these resources as needed:
references/
expo-router-loaders.md Route-level data loading with Expo Router loaders (web, SDK 55+)
offline-and-cancellation.md NetInfo network status, offline-first React Query, AbortController
When to Use
Use this skill when:
- Implementing API requests
- Setting up data fetching (React Query, SWR)
- Using Expo Router data loaders (`useLoaderData`, web SDK 55+)
- Debugging network failures
- Implementing caching strategies
- Handling offline scenarios
- Authentication/token management
- Configuring API URLs and environment variables
Preferences
- Avoid axios, prefer expo/fetch
Every Screen Has Four States
Design **loading**, **error**, **empty**, and **content** for screens that load data. These can overlap: a refresh error should coexist with cached content.
- **Loading ≠ empty.** Empty means *resolved with zero items*, not missing data. Handle initial loading, failure, and hydration before checking list length. In TanStack Query v5, `isLoading` means the first fetch is running; a disabled or offline-paused query can have no data without being loading. Show the prerequisite or offline state in that case.
- **Empty is a designed state, not a blank list.** Use `ListEmptyComponent` on FlatList/FlashList: explain why it is empty and offer the relevant next action. "No items yet" can offer Create; "No results" should offer changing or clearing the search/filter.
- **Refetches keep stale content.** Render cached `data` even if a refresh fails, with a nonblocking error and retry. Use `isLoading` for first-fetch spinners and `isFetching` for background activity; prefer a skeleton for a slow initial load with a known layout, and `RefreshControl` for user-initiated refresh.
- **Gate on hydration.** When initial UI or a redirect depends on persisted state (auth token, onboarding flag), the root layout renders nothing - or the splash - until that state has loaded. Deciding on unhydrated state flashes the wrong screen on every cold start and misroutes deep links that arrive before hydration.
**Saves preserve work.** While a mutation is pending, disable repeat submission. On failure, retain the draft, show an inline error, and let the user retry; clear or dismiss only after success. If updating optimistically, restore the previous value or mark the edit as unsynced on failure. Verify with a failed save followed by retry.
Common Issues & Solutions
1. Basic Fetch Usage
**Simple GET request**:
const fetchUser = async (userId: string) => {
const response = await fetch(`https://api.example.com/users/${userId}`);
if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`);
}
return response.json();
};**POST request with body**:
const createUser = async (userData: UserData) => {
const response = await fetch("https://api.example.com/users", {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${token}`,
},
body: JSON.stringify(userData),
});
if (!response.ok) {
const error = await response.json();
throw new Error(error.message);
}
return response.json();
};---
2. React Query (TanStack Query)
**Setup**:
// app/_layout.tsx
import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
const queryClient = new QueryClient({
defaultOptions: {
queries: {
staleTime: 1000 * 60 * 5, // 5 minutes
retry: 2,
},
},
});
export default function RootLayout() {
return (
<QueryClientProvider client={queryClient}>
<Stack />
</QueryClientProvider>
);
}**Fetching data**:
import { useQuery } from "@tanstack/react-query";
function UserProfile({ userId }: { userId: string }) {
const { data, fetchStatus, error, refetch } = useQuery({
queryKey: ["user", userId],
queryFn: () => fetchUser(userId),
});
if (data === undefined) {
if (error) return <ErrorState message={error.message} onRetry={() => refetch()} />;
if (fetchStatus === "paused") return <OfflineState />;
return <Loading />;
}
return (
<>
{error && <InlineError message="Could not refresh. Showing saved data." onRetry={() => refetch()} />}
{data === null ? <EmptyState message="User not found" /> : <Profile user={data} />}
</>
);
}**Mutations**:
import { useMutation, useQueryClient } from "@tanstack/react-query";
function CreateUserForm() {
const queryClient = useQueryClient();
const mutation = useMutation({
mutationFn: createUser,
onSuccess: () => {
// Invalidate and refetch
queryClient.invalidateQueries({ queryKey: ["users"] });
},
});
const handleSubmit = (data: UserData) => {
if (mutation.isPending) return;
mutation.mutate(data);
};
// Form keeps its draft on error and disables Submit while isLoading.
return <Form onSubmit={handleSubmit} isLoading={mutation.isPending} error={mutation.error?.message} />;
}---
3. Error Handling
**Comprehensive error handling**:
class ApiError extends Error {
constructor(message: string, public status: number, public code?: string) {
super(message);
this.name = "ApiError";
}
}
const fetchWithErrorHandling = async (url: string, options?: RequestInit) => {
try {
const response = await fetch(url, options);
if (!response.ok) {
const error = await response.json().catch(() => ({}));
throw new ApiError(
error.mesRead more
name: expo-data-fetching description: Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, loading/empty/error screen states, and Expo Router data loaders (`useLoaderData`). license: MIT
Expo Networking
**You MUST use this skill for ANY networking work including API requests, data fetching, caching, or network debugging.**
References
Consult these resources as needed:
references/ expo-router-loaders.md Route-level data loading with Expo Router loaders (web, SDK 55+) offline-and-cancellation.md NetInfo network status, offline-first React Query, AbortController
When to Use
Use this skill when:
- Implementing API requests
- Setting up data fetching (React Query, SWR)
- Using Expo Router data loaders (`useLoaderData`, web SDK 55+)
- Debugging network failures
- Implementing caching strategies
- Handling offline scenarios
- Authentication/token management
- Configuring API URLs and environment variables
Preferences
- Avoid axios, prefer expo/fetch
Every Screen Has Four States
Design **loading**, **error**, **empty**, and **content** for screens that load data. These can overlap: a refresh error should coexist with cached content.
- **Loading ≠ empty.** Empty means *resolved with zero items*, not missing data. Handle initial loading, failure, and hydration before checking list length. In TanStack Query v5, `isLoading` means the first fetch is running; a disabled or offline-paused query can have no data without being loading. Show the prerequisite or offline state in that case.
- **Empty is a designed state, not a blank list.** Use `ListEmptyComponent` on FlatList/FlashList: explain why it is empty and offer the relevant next action. "No items yet" can offer Create; "No results" should offer changing or clearing the search/filter.
- **Refetches keep stale content.** Render cached `data` even if a refresh fails, with a nonblocking error and retry. Use `isLoading` for first-fetch spinners and `isFetching` for background activity; prefer a skeleton for a slow initial load with a known layout, and `RefreshControl` for user-initiated refresh.
- **Gate on hydration.** When initial UI or a redirect depends on persisted state (auth token, onboarding flag), the root layout renders nothing - or the splash - until that state has loaded. Deciding on unhydrated state flashes the wrong screen on every cold start and misroutes deep links that arrive before hydration.
**Saves preserve work.** While a mutation is pending, disable repeat submission. On failure, retain the draft, show an inline error, and let the user retry; clear or dismiss only after success. If updating optimistically, restore the previous value or mark the edit as unsynced on failure. Verify with a failed save followed by retry.
Common Issues & Solutions
1. Basic Fetch Usage
**Simple GET request**:
const fetchUser = async (userId: string) => {
const response = await fetch(`https://api.example.com/users/${userId}`);
if (!response.ok) {
throw new Error(`HTTP error! status: ${response.status}`);
}
return response.json();
};**POST request with body**:
const createUser = async (userData: UserData) => {
const response = await fetch("https://api.example.com/users", {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${token}`,
},
body: JSON.stringify(userData),
});
if (!response.ok) {
const error = await response.json();
throw new Error(error.message);
}
return response.json();
};---
2. React Query (TanStack Query)
**Setup**:
// app/_layout.tsx
import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
const queryClient = new QueryClient({
defaultOptions: {
queries: {
staleTime: 1000 * 60 * 5, // 5 minutes
retry: 2,
},
},
});
export default function RootLayout() {
return (
<QueryClientProvider client={queryClient}>
<Stack />
</QueryClientProvider>
);
}**Fetching data**:
import { useQuery } from "@tanstack/react-query";
function UserProfile({ userId }: { userId: string }) {
const { data, fetchStatus, error, refetch } = useQuery({
queryKey: ["user", userId],
queryFn: () => fetchUser(userId),
});
if (data === undefined) {
if (error) return <ErrorState message={error.message} onRetry={() => refetch()} />;
if (fetchStatus === "paused") return <OfflineState />;
return <Loading />;
}
return (
<>
{error && <InlineError message="Could not refresh. Showing saved data." onRetry={() => refetch()} />}
{data === null ? <EmptyState message="User not found" /> : <Profile user={data} />}
</>
);
}**Mutations**:
import { useMutation, useQueryClient } from "@tanstack/react-query";
function CreateUserForm() {
const queryClient = useQueryClient();
const mutation = useMutation({
mutationFn: createUser,
onSuccess: () => {
// Invalidate and refetch
queryClient.invalidateQueries({ queryKey: ["users"] });
},
});
const handleSubmit = (data: UserData) => {
if (mutation.isPending) return;
mutation.mutate(data);
};
// Form keeps its draft on error and disables Submit while isLoading.
return <Form onSubmit={handleSubmit} isLoading={mutation.isPending} error={mutation.error?.message} />;
}---
3. Error Handling
**Comprehensive error handling**:
class ApiError extends Error {
constructor(message: string, public status: number, public code?: string) {
super(message);
this.name = "ApiError";
}
}
const fetchWithErrorHandling = async (url: string, options?: RequestInit) => {
try {
const response = await fetch(url, options);
if (!response.ok) {
const error = await response.json().catch(() => ({}));
throw new ApiError(
error.mesA collection of AI agent skills for working with Expo projects and Expo Application Services
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Questions about expo-data-fetching.
- Which coding agents can use expo-data-fetching?
- expo-data-fetching installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

