Designing Oop R logo

Designing Oop R

Community
jeremy-allen
designing-oop-r

Object-oriented programming in R: S7, S3, S4, and vctrs class design. Use this skill when designing classes for R projects, choosing between OOP systems, building class hierarchies with inheritance, or migrating between systems. Covers S7 class definitions and methods, the decision matrix for choosing S7 vs S3 vs S4 vs vctrs, practical guidelines for each system, and migration strategies.

Overview

Publisherjeremy-allen
Repositoryclaude-skills
Skill namedesigning-oop-r
Stars
67
Forks
6
Bundled files
5
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by jeremy-allen on GitHub. Read the source before you install it.

Installation

Install the Designing Oop R AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/jeremy-allen/claude-skills/tree/main/designing-oop-r
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jeremy-allen/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/designing-oop-r .claude/skills/designing-oop-r
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Designing Oop R in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Designing Oop R on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Designing Oop R is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Designing OOP R

This skill covers object-oriented programming in R, including S7, S3, S4, and vctrs-based classes.

Decision Tree: What Are You Building?

1. Vector-like objects (behave like atomic vectors)

Use vctrs when:

  • Need data frame integration (columns/rows)
  • Want type-stable vector operations
  • Building factor-like, date-like, or numeric-like classes
  • Need consistent coercion/casting behavior
  • Working with existing tidyverse infrastructure

Examples: custom date classes, units, categorical data

2. General objects (complex data structures, not vector-like)

Use S7 when:

  • NEW projects that need formal classes
  • Want property validation and safe property access (@)
  • Need multiple dispatch (beyond S3's double dispatch)
  • Converting from S3 and want better structure
  • Building class hierarchies with inheritance
  • Want better error messages and discoverability

Use S3 when:

  • Simple classes with minimal structure needs
  • Maximum compatibility and minimal dependencies
  • Quick prototyping or internal classes
  • Contributing to existing S3-based ecosystems
  • Performance is absolutely critical (minimal overhead)

Use S4 when:

  • Working in Bioconductor ecosystem
  • Need complex multiple inheritance (S7 doesn't support this)
  • Existing S4 codebase that works well

S7 vs S3 Comparison

FeatureS3S7When S7 wins
Class definitionInformal (convention)Formal (new_class())Need guaranteed structure
Property access$ or attr() (unsafe)@ (safe, validated)Property validation matters
ValidationManual, inconsistentBuilt-in validatorsData integrity important
Method discoveryHard to find methodsClear method printingDeveloper experience matters
Multiple dispatchLimited (base generics)Full multiple dispatchComplex method dispatch needed
InheritanceInformal, NextMethod()Explicit super()Predictable inheritance needed
Migration cost-Low (1-2 hours)Want better structure
PerformanceFastest~Same as S3Performance difference negligible
CompatibilityFull S3Full S3 + S7Need both old and new patterns

S7: Modern OOP

S7 combines S3 simplicity with S4 structure. See s7-examples.md for:

  • Class definitions with new_class()
  • Property validation
  • Generic and method definition
  • Inheritance with parent

S3: Simple Classes

See s3-examples.md for:

  • Constructor functions
  • Print and format methods
  • Simple class patterns

Practical Guidelines

Choose S7 when you have:

See when-s7.md for:

  • Complex validation needs
  • Multiple dispatch needs
  • Class hierarchies with clear inheritance

Choose vctrs when you need:

See when-vctrs.md for:

  • Vector-like behavior in data frames
  • Type-stable operations

Choose S3 when you have:

See when-s3.md for:

  • Simple classes without complex needs
  • Maximum performance needs (rare)
  • Existing S3 ecosystem contributions

Migration Strategy

  1. S3 → S7: Usually 1-2 hours work, keeps full compatibility
  2. S4 → S7: More complex, evaluate if S4 features are actually needed
  3. Base R → vctrs: For vector-like classes, significant benefits
  4. Combining approaches: S7 classes can use vctrs principles internally

source: Sarah Johnson's gist https://gist.github.com/sj-io/3828d64d0969f2a0f05297e59e6c15ad

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Designing Oop R AI skill do?

Object-oriented programming in R: S7, S3, S4, and vctrs class design. Use this skill when designing classes for R projects, choosing between OOP systems, building class hierarchies with inheritance, or migrating between systems. Covers S7 class definitions and methods, the decision matrix for choosing S7 vs S3 vs S4 vs vctrs, practical guidelines for each system, and migration strategies.

Why use Designing Oop R on TypingMind?

Because you install it once and use it with any model. Designing Oop R is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Designing Oop R in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jeremy-allen/claude-skills/tree/main/designing-oop-r. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Designing Oop R?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Designing Oop R?

As many as you like. As long as a model supports skills, you can use Designing Oop R with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Designing Oop R AI skill free?

It is published on GitHub by jeremy-allen. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇