section-special

Generate domain-specific R tutorials with structured sections and set.seed(2026).

16|4|Updated Jan 11, 2026
One-click install
npx skills add https://github.com/KangWang42/R_note_for_Epidemiology --skill section-special
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: section-special
Source: https://github.com/KangWang42/R_note_for_Epidemiology/tree/main/.opencode/skills/section-special
Command: npx skills add https://github.com/KangWang42/R_note_for_Epidemiology --skill section-special

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill generates comprehensive, domain-specific R tutorials for specialized health-related domains, enabling rapid creation of structured learning materials that combine theory and practical workflows.

Core Features & Use Cases

  • Generate template-driven R tutorials aligned with health economics, epidemiology, and related domains.
  • Provide a consistent structure including background, terminology, principles, practical workflow, and interpretation.
  • Support domain keywords and topic patterns (e.g., 60xx-[topic].rmd) to auto-generate new tutorials from templates.

Quick Start

Provide domain topic and keywords; the system will generate a ready-to-extend domain-specific R tutorial skeleton.

Frequently Asked Questions about section-special

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate an R tutorial for health economics and cost-effectiveness analysis?

To generate an R tutorial for health economics, provide your domain topic and keywords like CEA or TreeAge. The system creates a structured tutorial skeleton with background, terminology, principles, workflow, and interpretation sections.

How do I create reproducible R tutorials with structured sections for environmental epidemiology?

You need to provide a domain topic and relevant keywords. The system then auto-generates a ready-to-extend tutorial skeleton with frontmatter, structured sections, and reproducibility requirements like set.seed(2026).

Can I use this to generate tutorials for cellular automata and signal processing in R?

Yes, you can generate R tutorials for cellular automata and signal processing by supplying those domain keywords. The system supports topics including wavelet and VMD, outputting a template-driven RMarkdown file with practical workflow sections.

What is the best way to structure an RMarkdown tutorial for qualitative research and text mining?

The best way to structure an RMarkdown tutorial for qualitative research is using the template-driven format with background, terminology, principles, workflow, and interpretation sections. Supply text mining keywords to generate the skeleton.

Does this R tutorial generator require specific file naming patterns to work?

The generator recognizes the 60xx-[topic].rmd file naming pattern and domain-specific keywords to trigger tutorial creation. It uses these patterns to apply the correct template-driven frontmatter and structured sections for your health domain topic.