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登录并生成验证文件,在 30 分钟内将其提交到此仓库的默认分支。其他分支或分叉仓库中的文件无效。然后在下方检查文件,即可无需管理员批准直接管理项目。请保留文件以维持管理权限。
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在项目文件夹中运行 /nomorevibe verify,即可验证所有权并自行管理介绍。
一分钟完成验证iOS app to scan, organize, and value a Disney Lorcana TCG collection. SwiftUI, Vision card scanning, live pricing.
翻译准备中
取自仓库 README
正在加载完整 README。
查看完整 README ↗An iOS app for collectors of the Disney Lorcana trading card game: scan your cards with the camera, track what you own across every set and variant, and see what the collection is worth.
📱 Download on the App Store · 🌐 inkwellkeeper.app
| Area | Stack |
|---|---|
| UI | SwiftUI |
| Card recognition | Vision, CoreImage, AVFoundation |
| Persistence & sync | SwiftData, CloudKit |
| Charts | Swift Charts |
| Monetization | StoreKit 2, RevenueCat |
| Analytics | TelemetryDeck |
| Tests | Swift Testing |
| CI / quality | Xcode Cloud (ci_scripts/), SwiftLint |
Inkwell Keeper/ iOS app source
Inkwell KeeperTests/ Swift Testing suite
Scripts/, *.py Card data & image pipeline (pulls from lorcanajson, compresses art)
android/ Early Android port
ci_scripts/ Xcode Cloud build hooks
docs/ Universal Links and supporting documentation
Card metadata and artwork are not committed by hand — a set of Python scripts pulls from
public Lorcana data sources, maps enchanted printings back to their base cards, downloads and
compresses artwork, and emits the JSON the app ships with. See download_lorcanajson.py
and update_card_data.py as the entry points.
This repository is published to show how the app is built. It is not intended to be built and redistributed — the App Store release is the supported way to use Ink Well Keeper.