Route and execute Core ML workflows across multiple models.
npx skills add https://github.com/mattmireles/kokoro-coreml --skill coreml-mattmireles
Please help me install this Agent Skill. Skill: coreml Source: https://github.com/mattmireles/kokoro-coreml/tree/main/.claude/skills/coreml Command: npx skills add https://github.com/mattmireles/kokoro-coreml --skill coreml-mattmireles
This Skill streamlines and optimizes Core ML workflows, ensuring efficient routing and execution of tasks across various models and procedures.
To begin, navigate to your Core ML workspace and run the command 'coreml route my-model' to start the workflow.
High-intent search queries and answers about installing and using this skill.
To optimize Core ML models for the Apple Neural Engine, this skill facilitates efficient workflow routing and delegates procedures to manage execution and maximize hardware performance across multiple models.
Managing Core ML workflows is handled by directing and delegating tasks to specific child skills based on context, providing a unified system to validate, profile, and debug your entire model collection.
You can validate and profile Core ML models by running the workflow routing command, which manages execution across your models and delegates tasks like debugging to ensure accuracy and performance.
Yes, routing Core ML workflows requires access to your Core ML models and an appropriate execution environment to manage tasks like validation, profiling, and Neural Engine optimization successfully.
Debugging multiple Core ML models is supported through the workflow routing system, which handles task execution and delegates debugging procedures to child skills for comprehensive model management.
A dedicated routing skill streamlines Core ML workflows by ensuring efficient task execution and validation across various models, maximizing Apple Neural Engine performance without manual intervention.
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