home/categories/machine-learning/codewithmukesh-dotnet-claude-kit-skills-model-selection-skill-md
machine-learningdata-ai

model-selection

Strategic Claude model selection for .NET development workflows. Guides when to use Opus 4.6 (deep reasoning, architecture, ambiguous problems) vs Sonnet 4.6 (throughput, large context, routine implementation) vs Haiku 4.5 (fast, cheap subagent tasks). Covers model switching workflows, subagent model assignment, and cost-effective task routing. Load this skill when choosing models for tasks, optimizing costs, working with subagents, or when the user mentions "model", "Opus", "Sonnet", "Haiku", "which model", "cost", "switch model", or "fast mode".

codewithmukesh
maintainer
codewithmukesh
Actualizado 3/6/2026
Estrellas
257
Forks
64
quick start

Installation and usage

Strategic Claude model selection for .NET development workflows. Guides when to use Opus 4.6 (deep reasoning, architecture, ambiguous problems) vs Sonnet 4.6 (throughput, large context, routine implementation) vs Haiku 4.5 (fast, cheap subagent tasks). Covers model switching workflows, subagent model assignment, and cost-effective task routing. Load this skill when choosing models for tasks, optimizing costs, working with subagents, or when the user mentions "model", "Opus", "Sonnet", "Haiku", "which model", "cost", "switch model", or "fast mode".

Instalación
$ install --globalskills.sh
Uso

Después de instalarlo, puedes usar este skill ejecutando el siguiente comando en tu terminal:

skills use model-selection