add-parsnip-modellisted

# Add Parsnip Model Create entirely new model specifications for the parsnip package. This skill covers creating new model types (like `linear_reg()`, `boost_tree()`) with their constructors, registration, and engine implementations. **Use this skill when:** Creating a fundamentally new model type for parsnip. **For adding engines to existing models:** See [add-parsnip-engine](../add-parsnip-engine/SKILL.md) skill instead. -------------------------------------------------------------------------------- ## Prerequisites Before creating a new parsnip model, ensure you have: **R Package Development:** - [Extension Prerequisites](references/package-extension-prerequisites.md) - Required for extension packages - [Development Workflow](references/package-development-workflow.md) - Fast iteration practices **Parsnip Architecture:** - [Model Specification System](references/model-specification-system.md) - Core parsnip concepts - [Fit and Predict Methods](references/fit-predict-methods.md) - Implementation fundamentals -------------------------------------------------------------------------------- ## Creating a New Model ### Assess Model Complexity First Before diving into implementation, determine the complexity of your model: **Simple Model:** - Single mode (regression OR classification, not both) - 1-2 engines - Few main arguments (1-3) - Standard prediction types only → Follow streamlined approach: Focus on getting the basics right, avoid over-engin