tidymodels-developers
By tidymodels
Development tools and guides for tidymodels ecosystem packages including yardstick metrics, recipes steps, dials parameters, and parsnip models
npx claudepluginhub tidymodels/skills --plugin tidymodels-usersComponent Overview
Component Details
Skills (5)
Guide for creating new yardstick metrics. Use when a developer needs to extend yardstick with a custom performance metric, including numeric, class, probability, ordered probability, survival (static, dynamic, integrated, linear predictor), and quantile metrics.
Create a new preprocessing step for the recipes package following tidymodels conventions
**Create custom tuning parameters for hyperparameter tuning in Tidymodels**
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.
Add new computational engines to existing parsnip models. Use when connecting an existing parsnip model (linear_reg, boost_tree, etc.) to a new computational backend or R package.
README
Claude Code Skills for Tidymodels
Official Claude Code skills for the Tidymodels ecosystem, organized by audience.
Quick Start
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Browse the documentation: Visit tidymodels.github.io/skills for complete guides and examples
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Install through Claude Code marketplace:
# Add the marketplace /plugin marketplace add tidymodels/skills # Install developer skills /plugin install tidymodels-developers@tidymodels-skills # Install user skills (when available) /plugin install tidymodels-users@tidymodels-skills -
Start using skills: Activate skills in Claude Code to get AI assistance for Tidymodels development
Available Skills
This repository contains two categories of skills:
👨💻 Developer Skills
Skills for creating and extending Tidymodels packages:
- Building custom yardstick metrics
- Creating recipes preprocessing steps
- Contributing to Tidymodels packages
Documentation: tidymodels.github.io/skills/developers Browse: developers/README.md
👥 User Skills
Skills for using Tidymodels in data analysis and modeling:
- Tabular data machine learning workflows
- Model training, tuning, and evaluation
- Feature engineering with recipes
Documentation: tidymodels.github.io/skills/users Browse: users/README.md
Audience Guide
Choose Developer Skills if you are:
- Creating a new R package that extends Tidymodels
- Contributing code to Tidymodels core packages
- Building custom metrics, models, or preprocessing steps
Choose User Skills if you are:
- Analyzing data with Tidymodels
- Building predictive models
- Learning Tidymodels workflows
Documentation
Full documentation is available at tidymodels.github.io/skills, including:
- Getting started guides
- Comprehensive skill references
- Code examples and patterns
- Best practices
Contributing
We welcome contributions! See CONTRIBUTING.md for guidelines on:
- Reporting issues
- Suggesting new skills
- Contributing code
- Improving documentation
License
This project is licensed under the MIT License - see the LICENSE file for details.
Resources
- Tidymodels - Official Tidymodels website
- Yardstick - Model performance metrics
- Recipes - Preprocessing tools
- Claude Code - AI-powered coding assistant
- Tidymodels Community - GitHub organization
Maintained by the Tidymodels team | Report an issue
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