What problem does it solve?
Helps .NET developers and Claude orchestrators pick the most cost-effective and capability-appropriate Claude model (Opus, Sonnet, or Haiku) for a given task so that reasoning-heavy work uses stronger models and routine tasks use faster, cheaper models.
Core Features & Use Cases
- Model-to-task mapping: Clear guidance on when to use Opus 4.6 for deep reasoning, Sonnet 4.6 for high-throughput implementation, and Haiku 4.5 for lightweight subagent work.
- Phase-based workflow: Supports Plan (Opus), Execute (Sonnet), Review (Opus) patterns for end-to-end feature delivery.
- Subagent routing & cost control: Assigns models to subagents by complexity and optimizes for context-window budgeting and cost efficiency.
- Anti-patterns and decision tables: Practical cautions (e.g., don't use Opus for routine tasks) and a scenario-to-model decision guide.
Quick Start
Use the model-selection skill to evaluate a task and recommend Opus, Sonnet, or Haiku with a one-line rationale and recommended routing.