Data & AI

Use when deploying custom ML models on-device, converting PyTorch models, compressing models, implementing LLM inference, or optimizing CoreML performance. Covers model conversion, compression, stateful models, KV-cache, multi-function models, MLTensor.

Use when you see memory warnings, 'retain cycle', app crashes from memory pressure, or when asking 'why is my app using so much memory', 'how do I find memory leaks', 'my deinit is never called', 'Instruments shows memory growth', 'app crashes after 10 minutes' - systematic memory leak detection and fixes for iOS/macOS

Use when migrating from SwiftData to SQLiteData — decision guide, pattern equivalents, code examples, CloudKit sharing (SwiftData can't), performance benchmarks, gradual migration strategy

subject not detected, hand pose missing landmarks, low confidence observations, Vision performance, coordinate conversion, VisionKit errors, observation nil, text not recognized, barcode not detected, DataScannerViewController not working, document scan issues

Use when app feels slow, memory grows over time, battery drains fast, or you want to profile proactively - decision trees to choose the right Instruments tool, deep workflows for Time Profiler/Allocations/Core Data, and pressure scenarios for misinterpreting results

Use when ANY iOS build fails, test crashes, Xcode misbehaves, or environment issue occurs before debugging code. Covers build failures, compilation errors, dependency conflicts, simulator problems, environment-first diagnostics.

Use when implementing privacy manifests, requesting permissions, App Tracking Transparency UX, or preparing Privacy Nutrition Labels - covers just-in-time permission requests, tracking domain management, and Required Reason APIs from WWDC 2023

Use when writing raw SQL queries with GRDB, complex joins, ValueObservation for reactive queries, DatabaseMigrator patterns, query profiling under performance pressure, or dropping down from SQLiteData for performance - direct SQLite access for iOS/macOS

Use when structuring app entry points, managing authentication flows, switching root views, handling scene lifecycle, or asking 'how do I structure my @main', 'where does auth state live', 'how do I prevent screen flicker on launch', 'when should I modularize' - app-level composition patterns for iOS 26+

Use when working with Codable protocol, JSON encoding/decoding, CodingKeys customization, enum serialization, date strategies, custom containers, or encountering "Type does not conform to Decodable/Encodable" errors - comprehensive Codable patterns and anti-patterns for Swift 6.x

Query the Sequence Read Archive (SRA), retrieve scientific publications, and analyze genomics metadata using the SRAgent toolkit. Supports accession conversion (GSE→SRX→SRR), BigQuery metadata queries, manuscript downloads from multiple sources, and scRNA-seq technology identification. Use when working with SRA/GEO datasets, finding publications, or analyzing single-cell sequencing experiments.

Coordinate multi-agent code review with specialized perspectives. Use when conducting code reviews, analyzing PRs, evaluating staged changes, or reviewing specific files. Handles security, performance, quality, and test coverage analysis with confidence scoring and actionable recommendations.

Vulnerability review, OWASP patterns, secure coding practices, and threat modeling approaches. Use when reviewing code security, designing secure systems, performing threat analysis, or validating security implementations.

Consistent error patterns, validation approaches, and recovery strategies. Use when implementing input validation, designing error responses, handling failures gracefully, or establishing logging practices. Covers operational vs programmer errors, user-facing vs internal errors, and recovery mechanisms.

Maintain documentation freshness and code-doc alignment. Use when detecting stale documentation, suggesting doc updates during implementation, validating doc accuracy, or generating missing documentation. Handles staleness detection, coverage analysis, and doc/code synchronization.

Domain-Driven Design tactical and strategic patterns including entities, value objects, aggregates, bounded contexts, and consistency strategies. Use when modeling business domains, designing aggregate boundaries, implementing business rules, or planning data consistency.

Apply consistent security, performance, and accessibility standards across all recommendations. Use when reviewing code, designing features, or validating implementations. Cross-cutting skill for all agents.

Schema design, entity relationships, normalization, and database patterns. Use when designing database schemas, modeling domain entities, deciding between normalized and denormalized structures, choosing between relational and NoSQL approaches, or planning schema migrations. Covers ER modeling, normal forms, and data evolution strategies.

Test pyramid strategy, test design patterns, coverage analysis, and quality gate configuration. Use when designing test strategies, improving coverage, setting up automation, or defining quality gates. Covers unit, integration, and E2E testing across frameworks.

Interview techniques, persona creation, journey mapping, and usability testing patterns. Use when planning research, conducting user interviews, creating personas, mapping user journeys, or designing usability tests. Essential for user-research, requirements-analysis, and interaction-architecture agents.