native-data-fetching Skill
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). Published by openai in plugins.
What is native-data-fetching Skill?
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). Published by openai in plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Technical details
- Install or run with Copy skill directory
When to use native-data-fetching Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: openai
- Repository: openai/plugins
- Skill file: plugins/expo/skills/native-data-fetching/SKILL.md
What it does
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).
Skill instructions
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: tsx 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: tsx const crea
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Frequently asked questions
What is native-data-fetching?
native-data-fetching is a open-source AI agent skill with Copy skill directory. Use when implementing or debugging ANY network request, API call, or data fetching.
Who is native-data-fetching best for?
native-data-fetching is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install native-data-fetching?
Install or run native-data-fetching using Copy skill directory. Check native-data-fetching for the latest setup command.
Is native-data-fetching actively maintained?
native-data-fetching may need a closer maintenance check before production use.
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