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docs: add copilot-instructions.md for context-aware AI suggestions (#1035)
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Co-authored-by: lostb1t <coding-mosses0z@icloud.com>
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# Copilot Instructions for Streamyfin
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## Project Overview
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Streamyfin is a cross-platform Jellyfin video streaming client built with Expo (React Native).
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It supports mobile (iOS/Android) and TV platforms, and integrates with Jellyfin and Jellyseerr APIs.
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## Main Technologies
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- React Native (Expo)
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- TypeScript
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- React Query
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- Jotai (state management)
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- Jellyfin SDK (TypeScript)
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- BiomeJS (code formatting/linting)
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- EAS (Expo Application Services)
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- Shell scripting (for automation)
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- GitHub Actions (CI/CD)
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## Code Structure
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- `app/` – Main application code (screens, navigation, etc.)
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- `components/` – Reusable UI components
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- `providers/` – Context and API providers (e.g., JellyfinProvider.tsx)
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- `utils/` – Utility functions and atoms
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- `assets/` – Images and static assets
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- `scripts/` – Automation scripts (Node.js, Bash)
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- `plugins/` – Expo/Metro plugins
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- `README.md` – Project documentation
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## Coding Conventions
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- Use TypeScript for all new code.
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- Prefer functional React components.
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- Use hooks for state and side effects.
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- Use Jotai for global state.
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- Use React Query for data fetching/caching.
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- Use BiomeJS for formatting and linting.
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- Follow the established folder structure for screens/components.
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## API Usage
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- Use the Jellyfin SDK for all server interactions.
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- Use the `apiAtom` and `userAtom` from `JellyfinProvider` for authenticated API calls.
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- For navigation, use `expo-router`.
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## Commit Messages
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- Use [Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0/) (e.g., `feat:`, `fix:`, `chore:`).
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- Example: `feat(player): add Chromecast support`
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## Special Instructions
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- When suggesting code, prefer using existing atoms, hooks, and utility functions.
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- When adding new features, ensure they are accessible via both mobile and TV navigation if relevant.
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- When updating dependencies or scripts, check for compatibility with Expo and EAS.
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---
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**Copilot: Please use these instructions to provide context-aware suggestions and code completions for this repository.**
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