Create Quarto Report

SkillWeb & browsing

Create a Quarto document for reproducible reports, presentations, or websites. Covers YAML configuration, code chunk options, output formats, cross-references, and rendering. Use when creating a reproducible analysis report, building a presentation with embedded code, generating HTML, PDF, or Word documents from code, or migrating an existing R Markdown document to Quarto.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Create Quarto Report skill

What this skill tells your AI

The instructions your AI receives, as published by pjt222/agent-almanac in skills/create-quarto-report/SKILL.md and read by ahel’s review.

Set up and write a reproducible Quarto document for analysis reports, presentations, or websites.

When to Use

  • Creating a reproducible analysis report
  • Building a presentation with embedded code
  • Generating HTML, PDF, or Word documents from code
  • Migrating from R Markdown to Quarto

Inputs

  • Required: Report topic and target audience
  • Required: Output format (html, pdf, docx, revealjs)
  • Optional: Data sources and analysis code
  • Optional: Citation bibliography (.bib file)

Procedure

Step 1: Create Quarto Document

Create report.qmd:

---
title: "Analysis Report"
author: "Author Name"
date: today
format:
  html:
    toc: true
    toc-depth: 3
    code-fold: true
    theme: cosmo
    self-contained: true
execute:
  echo: true
  warning: false
  message: false
bibliography: references.bib
---

Expected: File report.qmd exists with valid YAML frontmatter including title, author, date, format configuration, and execution options.

On failure: Validate the YAML header by checking for matching --- delimiters and correct indentation. Ensure format: key matches one of the supported Quarto output formats (html, pdf, docx, revealjs).

Step 2: Write Content with Code Chunks

## Introduction

This report analyzes the relationship between variables X and Y.

## Data

```{r}
#| label: load-data
library(dplyr)
library(ggplot2)

data <- read.csv("data.csv")
glimpse(data)
```

## Analysis

```{r}
#| label: fig-scatter
#| fig-cap: "Scatter plot of X vs Y"
#| fig-width: 8
#| fig-height: 6

ggplot(data, aes(x = x_var, y = y_var)) +
  geom_point(alpha = 0.6) +
  geom_smooth(method = "lm") +
  theme_minimal()
```

As shown in @fig-scatter, there is a positive relationship.

## Results

```{r}
#| label: tbl-summary
#| tbl-cap: "Summary statistics"

data |>
  summarise(
    mean_x = mean(x_var),
    sd_x = sd(x_var),
    mean_y = mean(y_var),
    sd_y = sd(y_var)
  ) |>
  knitr::kable(digits = 2)
```

See @tbl-summary for descriptive statistics.

Expected: Content sections contain properly formatted code chunks with {r} language identifier and #| chunk options for labels, captions, and dimensions.

On failure: Verify code chunks use the ```{r} syntax (not inline backticks), that #| options are inside the chunk (not in the YAML header), and that label prefixes match cross-reference types (fig- for figures, tbl- for tables).

Step 3: Configure Chunk Options

Common chunk-level options (use #| syntax):

#| label: chunk-name        # Required for cross-references
#| echo: false               # Hide code
#| eval: false               # Show but don't run
#| output: false             # Run but hide output
#| fig-width: 8              # Figure dimensions
#| fig-height: 6
#| fig-cap: "Caption text"   # Enable @fig-name references
#| tbl-cap: "Caption text"   # Enable @tbl-name references
#| cache: true               # Cache expensive computations

Expected: Chunk options are applied at the chunk level using #| syntax, and labels follow naming conventions required for cross-referencing.

On failure: Ensure chunk options use #| syntax (Quarto-native), not the legacy {r, option=value} R Markdown syntax. Verify that label names contain only alphanumeric characters and hyphens.

Step 4: Add Cross-References and Citations

See @fig-scatter for the visualization and @tbl-summary for statistics.

This approach follows @smith2023 methodology.

::: {#fig-combined layout-ncol=2}
![Plot A](plot_a.png){#fig-plotA}
![Plot B](plot_b.png){#fig-plotB}

Combined figure caption
:::

Expected: Cross-references (@fig-name, @tbl-name) resolve to the correct figures and tables, and citations (@key) match entries in the .bib file.

On failure: Verify that referenced labels exist in code chunks with the correct prefix (fig-, tbl-). For citations, check that .bib keys match exactly (case-sensitive) and that bibliography: is set in the YAML header.

Step 5: Render the Document

quarto render report.qmd

# Specific format
quarto render report.qmd --to pdf
quarto render report.qmd --to docx

# Preview with live reload
quarto preview report.qmd

Expected: Output file generated in the specified format.

On failure:

Step 6: Multi-Format Output

format:
  html:
    toc: true
    theme: cosmo
  pdf:
    documentclass: article
    geometry: margin=1in
  docx:
    reference-doc: template.docx

Render all formats: quarto render report.qmd

Expected: All specified output formats generate successfully, each with correct styling and layout for the target format.

On failure: If one format fails while others succeed, check format-specific requirements: PDF needs a LaTeX engine (install with quarto install tinytex), DOCX needs a valid reference template if specified, and format-specific YAML options must be correctly nested under each format key.

Validation

  • Document renders without errors
  • All code chunks execute correctly
  • Cross-references resolve (figures, tables, citations)
  • Table of contents is accurate
  • Output format is appropriate for the audience

Common Pitfalls

  • Missing label prefix: Cross-referenceable figures need fig- prefix in label, tables need tbl-
  • Cache invalidation: Cached chunks won't re-run when upstream data changes. Delete _cache/ to force.
  • PDF without LaTeX: Install TinyTeX or use format: pdf with pdf-engine: weasyprint for CSS-based PDF
  • R Markdown syntax in Quarto: Use #| chunk options instead of {r, echo=FALSE} style

Related Skills

  • format-apa-report - APA-formatted academic reports
  • build-parameterized-report - parameterized multi-report generation
  • generate-statistical-tables - publication-ready tables
  • write-vignette - Quarto vignettes in R packages

Signals

GitHub stars
33
Forks
4
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
create-quarto-report
Source
github.com/pjt222/agent-almanac