quarto-authoring
0This skill facilitates the creation and management of documents using Quarto for users looking to leverage advanced authoring features. Ideal for writers and researchers who want seamless integration with AI tools.
446350Updated Yesterday
Document Creation
Quick InstallView Source
$ npx skills add https://github.com/posit-dev/skills --skill quarto-authoringOverview
About This Skill
The Quarto authoring skill provides comprehensive guidance for creating Quarto documents from scratch and migrating projects from R Markdown, bookdown, blogdown, xaringan, and distill. It covers best practices for document structure, Quarto-specific features including hashpipe syntax, cross-references, callouts, and extensions. Users can write new documents following established conventions, convert existing R Markdown files, and migrate entire projects while leveraging AI-assisted authoring workflows. This skill is designed for researchers, technical writers, and data scientists who want to produce professional documents with seamless integration between their content and AI tools.
How to Use
Install the skill using the command below.
Use Cases
Generate documents in Quarto format
Automate document updates
Integrate AI suggestions into writing
Tags
Setup & Installation
Quick Install
Terminal
$ npx skills add https://github.com/posit-dev/skills --skill quarto-authoringAlternative Install (Git Clone)
git clone https://github.com/posit-dev/skillsRequirements
- Claude Code or compatible AI agent
Quick Start Guide
1
Install the Skill
Copy the install command above and run it in your terminal.
2
Open Your AI Agent
Launch Claude Code, Cursor, or your preferred AI coding agent.
3
Try It Out
Use the prompt template or examples below to test the skill.
4
Customize
Adapt the skill to your specific use case and workflow.
Usage Examples
Prompt Template
Create a Quarto document for [TOPIC] that includes [SECTIONS] and [DATA_SOURCES]. Ensure the document follows Quarto's markdown syntax, includes appropriate code chunks for reproducibility, and formats tables and figures professionally. Add a YAML header with metadata like title, author, and format (e.g., PDF, HTML, or DOCX).
Example Output
```markdown
---
title: "Market Trends in [COMPANY]’s [INDUSTRY]"
author: "Jane Doe"
date: "2024-05-20"
format:
pdf:
toc: true
number-sections: true
bibliography: references.bib
---
# Executive Summary
This report analyzes [COMPANY]’s performance in the [INDUSTRY] sector over the past year, highlighting key trends and insights derived from [DATA_SOURCES]. The document is structured to provide actionable recommendations for stakeholders.
## Key Findings
- **Revenue Growth**: [COMPANY]’s revenue increased by 15% YoY, driven by [FACTOR].
- **Market Share**: The company’s market share expanded to 22%, up from 18% in 2023.
```
```{r}
# Load and analyze data
library(tidyverse)
data <- read.csv("market_data.csv")
summary_stats <- data %>% group_by(quarter) %>% summarise(revenue = sum(revenue))
# Generate a plot
library(ggplot2)
ggplot(summary_stats, aes(x = quarter, y = revenue)) +
geom_bar(stat = "identity", fill = "steelblue") +
labs(title = "Quarterly Revenue Trends", x = "Quarter", y = "Revenue ($M)") +
theme_minimal()
```
## Recommendations
1. **Invest in R&D**: Allocate 20% of the budget to innovation to capitalize on emerging trends.
2. **Expand Marketing**: Increase spend by 10% to capture untapped segments.
See [Appendix](#appendix) for detailed data sources and methodology.
# Appendix
[Include additional sections, tables, or references as needed.]
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