Foundation Models Diagnostics

Acerca de

Streamline the debugging process for Apple Intelligence features with a systematic diagnostic framework tailored for modern xOS development. This skill helps developers identify whether issues stem from device capabilities, regional restrictions, or model-specific constraints like the 4096-token context window. By providing clear decision trees and implementation patterns for error handling, @Generable usage, and tool calling, it ensures that applications leverage on-device 3B parameter models effectively while avoiding common pitfalls like main-thread blocking or hallucinated outputs.

Características Principales

• Automated availability and regional support checks
• 61 GitHub stars
• Performance profiling for model loading and generation latency
• Graceful guardrail violation and unsupported language handling
• Context window estimation and transcript condensation patterns
• Type-safe structured output guidance using @Generable

Casos de Uso

• Debugging availability issues across different devices and regions
• Troubleshooting context window exceeded errors in long AI conversations
• Optimizing AI generation performance and resolving UI responsiveness issues