tidymodels
Official@tidymodels
A collection of R-based utilities for input validation, metric detection, function lifecycle management, and structured documentation generation.
Agent Skills by tidymodels
Showing 5 vetted skills indexed across 2 GitHub repositories.
tidymodelstidy-deprecate-function
Deprecates R functions and arguments with lifecycle warnings, documentation, tests, and NEWS entries.
tidymodelstypes-check
Validate R function inputs using standalone check_* utilities.
tidymodelsdetect-metrics
List all metric functions available in the yardstick R package.
tidymodelstidy-deprecate-function
Deprecate R functions and arguments with lifecycle warnings and documentation updates.
tidymodelscreate-skill
Guide creation of Claude Code skills with YAML frontmatter and markdown structure.
Frequently Asked Questions About tidymodels
FAQPage SchemaWhat specific tasks can be performed using these utilities?▼
These utilities enable rigorous R function input validation, systematic auditing of yardstick metric functions, and structured management of function deprecation cycles. They also provide a framework for generating standardized documentation and YAML-based metadata for technical project components.
Which technical personas benefit from these capabilities?▼
These utilities are designed for R package maintainers, statistical software developers, and technical documentation specialists. They are particularly useful for engineers managing long-term R project lifecycles and those requiring strict input validation protocols within their codebase.
What are the prerequisites for implementing these functions?▼
Implementation requires an existing R development environment and familiarity with the yardstick package ecosystem. Users must ensure their project structure supports YAML frontmatter and standard R documentation conventions to effectively utilize the deprecation and creation utilities.