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概要と使いどころ
When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," or "building many pages for SEO." For auditing existing SEO issues, see seo-audit.
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。
Modern SwiftUI toolbar patterns including customizable toolbars, search integration, transition effects, and platform-specific behavior. Use when implementing or customizing toolbars in SwiftUI.
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。
AlarmKit integration for scheduling alarms and timers with custom UI, Live Activities, and snooze support. Use when implementing alarm or timer features in iOS 26+ apps.
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。
Generate cross-module test harness with mock servers, in-memory stores, and test configuration. Use when testing networking + persistence + business logic together.
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。
GeoToolbox PlaceDescriptor patterns with MapKit integration for location representation, geocoding, and multi-service place identifiers. Use when working with place descriptors, geocoding, or cross-service location data.
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。
Generate test templates for unit tests, integration tests, and UI tests using Swift Testing and XCTest. Use when adding tests to iOS/macOS apps.
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。
Expert guidance on macOS platform capabilities. Covers sandboxing, app extensions, menu bar apps, and background execution. Use when implementing system integration features.
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。
Generates a watermark overlay system for images and video with configurable positioning, opacity, tiling, and paywall integration for automatic removal on subscription or purchase. Use when user wants to add branding, attribution, or free-tier watermarks to visual content.
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。
Generate CI/CD configuration for automated builds, tests, and distribution of iOS/macOS apps. Use when setting up GitHub Actions, Xcode Cloud, or fastlane for continuous integration, TestFlight, or App Store deployment.
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。
Generates data export/import infrastructure for JSON, CSV, PDF formats with GDPR data portability, share sheet integration, and file import. Use when user wants data export functionality, CSV/JSON/PDF export, GDPR compliance data portability, import from files, or share sheet for data.
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。
Generates GDPR/CCPA/DPDP privacy consent flows with granular category preferences, consent state persistence, audit logging, and ATT (App Tracking Transparency) integration. Use when user needs privacy consent UI, cookie/tracking consent, or compliance management.
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。
Generate feature flag infrastructure with local defaults, remote configuration, SwiftUI integration, and debug menu. Use when adding feature flags or A/B testing to iOS/macOS apps.
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。
Generates Promoted In-App Purchase setup with StoreKit 2 product configuration, paywall integration, and App Store product page display. Use when setting up promoted purchases that appear on the App Store product page.
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。
Generates Core Spotlight indexing infrastructure for making app content searchable via system Spotlight with rich attributes and deep link integration. Use when user wants to index content for Spotlight search, Siri suggestions, or system-wide searchability.
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。
Generates shareable card images from app content (achievements, stats, quotes) for social media sharing. Use when user wants to create share images, social cards, shareable content cards, or export app content as images with ShareLink integration.
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。
AttributedString patterns for rich text formatting, alignment, selection, and SwiftUI integration. Use when working with styled text, text editing, or AttributedString APIs.
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。
On-device LLM integration using Apple's Foundation Models framework. Use when implementing AI text generation, structured output, or tool calling.
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。
MapKit and GeoToolbox skills — PlaceDescriptor patterns, geocoding, and cross-service place identifiers with MapKit integration. Use when working with maps, place data, or geocoding.
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。
Foundation framework skills — AttributedString patterns for rich text formatting, alignment, selection, and SwiftUI integration. Use when working with styled text or AttributedString APIs.
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。
Pathview is a stand-alone software package for pathway based data integration and visualization.
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。
standR is an user-friendly R package providing functions to assist conducting good-practice analysis of Nanostring's GeoMX DSP data. All functions in the package are built based on the SpatialExperiment object, allowing integration into various spatial transcriptomics-related packages from Bioconductor. standR allows data inspection, quality control, normalization, batch correction and evaluation with informative visualizations.
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。
syntenet can be used to infer synteny networks from whole-genome protein sequences and analyze them. Anchor pairs are detected with the MCScanX algorithm, which was ported to this package with the Rcpp framework for R and C++ integration. Anchor pairs from synteny analyses are treated as an undirected unweighted graph (i.e., a synteny network), and users can perform: i. network clustering; ii. phylogenomic profiling (by identifying which species contain which clusters) and; iii. microsynteny-bas
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。
hoodscanR is an user-friendly R package providing functions to assist cellular neighborhood analysis of any spatial transcriptomics data with single-cell resolution. All functions in the package are built based on the SpatialExperiment object, allowing integration into various spatial transcriptomics-related packages from Bioconductor. The package can result in cell-level neighborhood annotation output, along with funtions to perform neighborhood colocalization analysis and neighborhood-based ce
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。
In recent years a wealth of biological data has become available in public data repositories. Easy access to these valuable data resources and firm integration with data analysis is needed for comprehensive bioinformatics data analysis. bio
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。