model-recommendation

AI model selection involves evaluating task complexity and tool usage from your prompt file against a model matrix to balance performance and cost. This Skill generates a recommendation with primary and alternative models, deprecation notes, and frontmatter integration steps.

The best way is to load an available model matrix and decision-tree guidance to evaluate your prompt's task complexity. This yields a primary model recommendation with one or two alternatives, rationale, and concrete VS Code frontmatter changes for application.

Yes, cost optimization guidance is provided when selecting Copilot models. The analysis evaluates task planning and coding assistance requirements to output structured cost guidance, balancing architectural analysis needs with model expenses across ecosystems.

Yes, the model recommendation process flags deprecated AI models with specific migration notes. It provides auto-selection versus manual override recommendations and includes guidance to transition from outdated models to suitable alternatives.

To apply model recommendations to your VS Code prompt workflow, use the generated concrete frontmatter changes. The Skill outputs integration advice and VS Code usage steps to update your .agent.md or .prompt.md files directly.