本文へ移動
cccskills
無料GitHub で公開

native-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, and Expo Router data loaders (`useLoaderData`).

インストール方法を見る

含まれるファイル(3)

  • SKILL.md11.4 KB
  • agents/openai.yaml425 B
  • references/expo-router-loaders.md9.6 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

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+)

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

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, isLoading, error, refetch } = useQuery({
    queryKey: ["user", userId],
    queryFn: () => fetchUser(userId),
  });

  if (isLoading) return <Loading />;
  if (error) return <Error message={error.message} />;

  return <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) => {
    mutation.mutate(data);
  };

  return <Form onSubmit={handleSubmit} isLoading={mutation.isPending} />;
}

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.message || "Request failed",
        response.status,
        error.code
      );
    }

    return response.json();
  } catch (error) {
    if (error instanceof ApiError) {
      throw error;
    }
    // Network error (no internet, timeout, etc.)
    throw new ApiError("Network error", 0, "NETWORK_ERROR");
  }
};

Retry logic:

const fetchWithRetry = async (
  url: string,
  options?: RequestInit,
  retries = 3
) => {
  for (let i = 0; i < retries; i++) {
    try {
      return await fetchWithErrorHandling(url, options);
    } catch (error) {
      if (i === retries - 1) throw error;
      // Exponential backoff
      await new Promise((r) => setTimeout(r, Math.pow(2, i) * 1000));
    }
  }
};

4. Authentication

Token management:

import * as SecureStore from "expo-secure-store";

const TOKEN_KEY = "auth_token";

export const auth = {
  getToken: () => SecureStore.getItemAsync(TOKEN_KEY),
  setToken: (token: string) => SecureStore.setItemAsync(TOKEN_KEY, token),
  removeToken: () => SecureStore.deleteItemAsync(TOKEN_KEY),
};

// Authenticated fetch wrapper
const authFetch = async (url: string, options: RequestInit = {}) => {
  const token = await auth.getToken();

  return fetch(url, {
    ...options,
    headers: {
      ...options.headers,
      Authorization: token ? `Bearer ${token}` : "",
    },
  });
};

Token refresh:

let isRefreshing = false;
let refreshPromise: Promise<string> | null = null;

const getValidToken = async (): Promise<string> => {
  const token = await auth.getToken();

  if (!token || isTokenExpired(token)) {
    if (!isRefreshing) {
      isRefreshing = true;
      refreshPromise = refreshToken().finally(() => {
        isRefreshing = false;
        refreshPromise = null;
      });
    }
    return refreshPromise!;
  }

  return token;
};

5. Offline Support

Check network status:

import NetInfo from "@react-native-community/netinfo";

// Hook for network status
function useNetworkStatus() {
  const [isOnline, setIsOnline] = useState(true);

  useEffect(() => {
    return NetInfo.addEventListener((state) => {
      setIsOnline(state.isConnected ?? true);
    });
  }, []);

  return isOnline;
}

Offline-first with React Query:

import { onlineManager } from "@tanstack/react-query";
import NetInfo from "@react-native-community/netinfo";

// Sync React Query with network status
onlineManager.setEventListener((setOnline) => {
  return NetInfo.addEventListener((state) => {
    setOnline(state.isConnected ?? true);
  });
});

// Queries will pause when offline and resume when online

6. Environment Variables

Using environment variables for API configuration:

Expo supports environment variables with the EXPO_PUBLIC_ prefix. These are inlined at build time and available in your JavaScript code.

// .env
EXPO_PUBLIC_API_URL=https://api.example.com
EXPO_PUBLIC_API_VERSION=v1

// Usage in code
const API_URL = process.env.EXPO_PUBLIC_API_URL;

const fetchUsers = async () => {
  const response = await fetch(`${API_URL}/users`);
  return response.json();
};

Environment-specific configuration:

// .env.development
EXPO_PUBLIC_API_URL=http://localhost:3000

// .env.production
EXPO_PUBLIC_API_URL=https://api.production.com

Creating an API client with environment config:

// api/client.ts
const BASE_URL = process.env.EXPO_PUBLIC_API_URL;

if (!BASE_URL) {
  throw new Error("EXPO_PUBLIC_API_URL is not defined");
}

export const apiClient = {
  get: async <T,>(path: string): Promise<T> => {
    const response = await fetch(`${BASE_URL}${path}`);
    if (!response.ok) throw new Error(`HTTP ${response.status}`);
    return response.json();
  },

  post: async <T,>(path: string, body: unknown): Promise<T> => {
    const response = await fetch(`${BASE_URL}${path}`, {
      method: "POST",
      headers: { "Content-Type": "application/json" },
      body: JSON.stringify(body),
    });
    if (!response.ok) throw new Error(`HTTP ${response.status}`);
    return response.json();
  },
};

Important notes:

  • Only variables prefixed with EXPO_PUBLIC_ are exposed to the client bundle
  • Never put secrets (API keys with write access, database passwords) in EXPO_PUBLIC_ variables—they're visible in the built app
  • Environment variables are inlined at build time, not runtime
  • Restart the dev server after changing .env files
  • For server-side secrets in API routes, use variables without the EXPO_PUBLIC_ prefix

TypeScript support:

// types/env.d.ts
declare global {
  namespace NodeJS {
    interface ProcessEnv {
      EXPO_PUBLIC_API_URL: string;
      EXPO_PUBLIC_API_VERSION?: string;
    }
  }
}

export {};

7. Request Cancellation

Cancel on unmount:

useEffect(() => {
  const controller = new AbortController();

  fetch(url, { signal: controller.signal })
    .then((response) => response.json())
    .then(setData)
    .catch((error) => {
      if (error.name !== "AbortError") {
        setError(error);
      }
    });

  return () => controller.abort();
}, [url]);

With React Query (automatic):

// React Query automatically cancels requests when queries are invalidated
// or components unmount

Decision Tree

User asks about networking
  |-- Route-level data loading (web, SDK 55+)?
  |   \-- Expo Router loaders — see references/expo-router-loaders.md
  |
  |-- Basic fetch?
  |   \-- Use fetch API with error handling
  |
  |-- Need caching/state management?
  |   |-- Complex app -> React Query (TanStack Query)
  |   \-- Simpler needs -> SWR or custom hooks
  |
  |-- Authentication?
  |   |-- Token storage -> expo-secure-store
  |   \-- Token refresh -> Implement refresh flow
  |
  |-- Error handling?
  |   |-- Network errors -> Check connectivity first
  |   |-- HTTP errors -> Parse response, throw typed errors
  |   \-- Retries -> Exponential backoff
  |
  |-- Offline support?
  |   |-- Check status -> NetInfo
  |   \-- Queue requests -> React Query persistence
  |
  |-- Environment/API config?
  |   |-- Client-side URLs -> EXPO_PUBLIC_ prefix in .env
  |   |-- Server secrets -> Non-prefixed env vars (API routes only)
  |   \-- Multiple environments -> .env.development, .env.production
  |
  \-- Performance?
      |-- Caching -> React Query with staleTime
      |-- Deduplication -> React Query handles this
      \-- Cancellation -> AbortController or React Query

Common Mistakes

Wrong: No error handling

const data = await fetch(url).then((r) => r.json());

Right: Check response status

const response = await fetch(url);
if (!response.ok) throw new Error(`HTTP ${response.status}`);
const data = await response.json();

Wrong: Storing tokens in AsyncStorage

await AsyncStorage.setItem("token", token); // Not secure!

Right: Use SecureStore for sensitive data

await SecureStore.setItemAsync("token", token);

Example Invocations

User: "How do I make API calls in React Native?" -> Use fetch, wrap with error handling

User: "Should I use React Query or SWR?" -> React Query for complex apps, SWR for simpler needs

User: "My app needs to work offline" -> Use NetInfo for status, React Query persistence for caching

User: "How do I handle authentication tokens?" -> Store in expo-secure-store, implement refresh flow

User: "API calls are slow" -> Check caching strategy, use React Query staleTime

User: "How do I configure different API URLs for dev and prod?" -> Use EXPOPUBLIC env vars with .env.development and .env.production files

User: "Where should I put my API key?" -> Client-safe keys: EXPOPUBLIC in .env. Secret keys: non-prefixed env vars in API routes only

User: "How do I load data for a page in Expo Router?" -> See references/expo-router-loaders.md for route-level loaders (web, SDK 55+). For native, use React Query or fetch.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Make data visualizations accessible and inclusive. Use when the user needs chart or diagram accessibility guidance, text alternatives for complex visuals, color and contrast review, keyboard support, reduced-motion behavior for animation or parallax, or an accessibility QA workflow for exported figures, UML-like diagrams, and dashboards.

日本語の概要は準備中です。原文の説明を表示しています。

openai/plugins7,3842026年10月8日 更新

Apply consistent photo adjustments across a set of images so they look like they were edited together. Use this skill whenever the user says "make my photos look cohesive", "give all these the same style", "apply a warm and golden feel to all of these", "make this cinematic", "match the look across my photos", "edit all my travel photos the same way", "batch edit these", "make these consistent", "fix my phone photos", or uploads a folder of photos and wants a unified, polished result. Also triggers for requests like "apply a preset to all of these", "make these look professional", or "they were shot in mixed lighting — can you fix them all". Outputs direct final image URLs plus an in-chat preview grid and optional Firefly Board link. Access: 🔐 Signed-In required | Gen AI: ❌

日本語の概要は準備中です。原文の説明を表示しています。

openai/plugins7,3842026年10月8日 更新

Use when a user wants to see their logo, design, or sketch on a product or scene mockup — mugs, t-shirts, business cards, hats, phone screens, posters, billboards, or similar. Triggers on "create mockups", "show my logo on products", or any logo upload with a request to visualize it on items. Access: 🔐 Signed-In required | Gen AI: ✅ Adobe Firefly via `image_generate` used for design creation, sketch polishing, and mockup scene generation

日本語の概要は準備中です。原文の説明を表示しています。

openai/plugins7,3842026年10月8日 更新

Resize, crop, or export any image or video into platform-ready social media assets using Adobe Creative Cloud tools. Use this skill when a user wants to prepare a photo, image, or video for one or more social platforms — Instagram, TikTok, LinkedIn, Facebook, YouTube, Snapchat, Pinterest, Threads, or X/Twitter. Triggers on: "prepare my image for Instagram", "resize for TikTok", "get this ready to post", "make versions for all platforms", "social media sizes", "crop for stories", "export for LinkedIn", "resize my video for social", "make social media assets", or any request to adapt a photo or video for specific platforms. Handles subject-aware cropping, AI canvas expansion, test previews before full runs, and same-ratio video resizing.

日本語の概要は準備中です。原文の説明を表示しています。

openai/plugins7,3842026年10月8日 更新

Create any visual design using Adobe Express templates — flyers, posters, social media posts (Instagram, Facebook, LinkedIn), business cards, invitations, greeting cards, resumes, cover letters, brochures, newsletters, certificates, presentations, YouTube thumbnails, email headers, logos, menus, and labels. Use this skill whenever the user wants to make, design, or build any visual — even if they just say "make me a flyer", "design a poster", "I need something for Instagram", "create an event invite", or "make a business card". Also handles browsing templates, editing text, replacing images, changing backgrounds, animating, and exporting designs. Access: 🔐 Signed-In required | Gen AI: ❌ by default — image replacement only where the surface permits generative AI (e.g. Codex); none on Claude

日本語の概要は準備中です。原文の説明を表示しています。

openai/plugins7,3842026年10月8日 更新

Create a punchy sizzle reel from a video using Adobe Quick Cut. Use this skill whenever a user wants to cut, trim, or shorten a video into highlights — including phrases like "make a sizzle reel", "make a highlight reel", "quick cut this", "cut the best parts", "shorten this video", "make a highlight clip", "summarize this video visually", or any request to produce a shorter edited version of a video. Use this skill for Quick Cut requests before suggesting manual editing in Premiere. Requires the user to upload a video file.

日本語の概要は準備中です。原文の説明を表示しています。

openai/plugins7,3842026年10月8日 更新

openai のスキルをすべて見る

このスキルの問題を報告する