quarto-docs

Standardizes Quarto QMD workflows with numbered scripts, status tracking, and BUILD_INFO provenance.

2|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/MusserLab/lab-claude-skills --skill quarto-docs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: quarto-docs
Source: https://github.com/MusserLab/lab-claude-skills/tree/main/skills/quarto-docs
Command: npx skills add https://github.com/MusserLab/lab-claude-skills --skill quarto-docs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quarto analysis scripting in data science often lacks standardized conventions for numbering scripts, tracking status, and capturing provenance. This skill defines and enforces the conventions so teams render reproducible .qmd documents with BUILD_INFO.txt provenance and consistent frontmatter.

Core Features & Use Cases

  • Numbered script conventions: enforce sequential script prefixes in a project and predictable file ordering.
  • Provenance through BUILD_INFO.txt: capture commit hash and render date during execution for traceability.
  • Controlled rendering: guidance to use quarto render instead of other renderers and to apply appropriate environment activation where required.
  • Use Case: a data science workflow where multiple .qmd analysis steps are executed in order to produce a final report with traceable lineage.

Quick Start

Render your .qmd analyses with quarto render to produce reproducible outputs and build provenance.

Frequently Asked Questions about quarto-docs

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

FAQPage Schema
How do I standardize Quarto QMD workflows for reproducible analyses?

Standardize Quarto QMD workflows by enforcing YAML frontmatter structure, applying sequential numbered script prefixes, and capturing BUILD_INFO.txt provenance during execution.

What is BUILD_INFO provenance in Quarto data science projects?

BUILD_INFO provenance captures the commit hash and render date during execution, providing traceable lineage for reproducible .qmd document outputs.

What's the best way to render Quarto documents for consistent outputs?

Use `quarto render` to produce consistent outputs, applying appropriate environment activation where required to maintain reproducible analysis execution.

Do I need specific YAML frontmatter fields for Quarto reproducibility?

Yes, standardized Quarto reproducibility requires specific YAML frontmatter fields to enforce consistent document structure and enable reliable rendering across data science projects.

How does numbered script ordering improve Quarto analysis workflows?

Numbered script ordering enforces sequential script prefixes to ensure predictable file execution, allowing multiple .qmd analysis steps to produce a final report with traceable lineage.