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.