What problem does it solve?
This skill eliminates inefficient model usage by providing a standardized framework for selecting the optimal AI model and effort level based on task complexity, ensuring cost-effective and high-quality outcomes.
Core Features & Use Cases
- Model Mapping: Automatically routes tasks to Composer 2.5, Grok 4.5, or Kimi K3 based on the specific requirements of the issue.
- Effort Calibration: Provides explicit guidance on selecting low, medium, or high effort levels for Grok-based tasks to match the depth of deliberation required.
- Bipartite Workflow: Orchestrates complex tasks by splitting them into planning and execution phases, assigning the appropriate model to each stage.
Quick Start
Apply the model-selection skill to determine the correct model and effort level for the current task based on the canonical priority table.