foundation-models
Use when implementing on-device AI with Apple's Foundation Models framework (iOS 26+), building summarization/extraction/classification features, or using @Generable for type-safe structured output.
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Use when implementing on-device AI with Apple's Foundation Models framework (iOS 26+), building summarization/extraction/classification features, or using @Generable for type-safe structured output.
Use when building features with TCA (The Composable Architecture), structuring reducers, managing state, handling effects, navigation, or testing TCA features. Covers @Reducer, Store, Effect, TestStore, reducer...
Use when writing raw SQL with GRDB, complex joins across 4+ tables, window functions, ValueObservation for reactive queries, or dropping down from SQLiteData for performance. Direct SQLite access for iOS/macOS...
Use when implementing Network.framework connections (NWConnection, NetworkConnection), debugging connection failures, migrating from sockets/URLSession streams, or handling network transitions. Covers UDP/TCP p...
Use when working with SQLiteData library (@Table, @FetchAll, @FetchOne macros) for SQLite persistence, queries, writes, migrations, or CloudKit private database sync.
Use when writing async/await code, enabling strict concurrency, fixing Sendable errors, migrating from completion handlers, managing shared state with actors, or using Task/TaskGroup for concurrency.
Use when implementing iOS 17+ SwiftUI patterns: @Observable/@Bindable, MVVM architecture, NavigationStack, lazy loading, UIKit interop, accessibility (VoiceOver/Dynamic Type), async operations (.task/.refreshab...
Design and document statistical algorithms with pseudocode and complexity analysis
Core mathematical concepts and theoretical frameworks for statistics
Numerical algorithms and computational techniques for statistics
Meta-analysis frameworks and methods for mediation studies
Computational methods for statistical inference and optimization
Design and implementation of comprehensive simulation studies
Six-phase protocol for adapting methods across research domains
Field connection mapping and systematic ideation for method transfer
Strategic publication planning and venue selection for research
M-estimation, influence functions, and semiparametric efficiency theory for causal inference
Sensitivity analysis frameworks and assumption-testing methods
Quality assurance and testing protocols for statistical software
Structured methodology for constructing and verifying mathematical proofs in statistical research
Effective communication strategies for statistical methods
Method×Setting matrices and systematic gap identification
JASA/Biometrika manuscript structure with VanderWeele notation standards
DAG and potential outcomes frameworks for causal mediation identification
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.