What problem does it solve?
This Skill prevents wasted tokens and slow outputs by helping you choose the best Claude model for the complexity of your .NET work.
Core Features & Use Cases
- Model-to-task routing: Selects Opus 4.6 for deep trade-offs, Sonnet 4.6 for high-throughput implementation, and Haiku 4.5 for fast, cheap subagent lookup-style work.
- Workflow patterns for model switching: Uses an Opus plan → Sonnet execute → Opus review loop to improve decision quality without sacrificing speed.
- Subagent model assignment guidance: Assigns lighter work to Haiku and reasoning-heavy work to Sonnet/Opus to reduce cost while maintaining correctness.
- Operational triggers and shortcuts: Covers when to switch models based on user intent (e.g., asking about “model”, “Opus”, “Sonnet”, “Haiku”, “cost”, “switch model”, or “fast mode”).
Quick Start
Load the model-selection Skill and ask your AI to choose between Opus 4.6, Sonnet 4.6, and Haiku 4.5 for your next .NET task based on complexity and whether it’s planning, implementation, review, or subagent lookup.