Create R scripts and Quarto chapters with reproducible analysis artifacts.
npx skills add https://github.com/naj2r/claude-econ-paper-template --skill r-quarto
Please help me install this Agent Skill. Skill: r-quarto Source: https://github.com/naj2r/claude-econ-paper-template/tree/main/.claude/skills/r-quarto Command: npx skills add https://github.com/naj2r/claude-econ-paper-template --skill r-quarto
Many replication and analysis workflows require reproducible R code embedded in Quarto chapters or standalone R scripts but lack consistent templates, chunk options, and project paths, which makes sharing, rendering, and exporting tables to Overleaf error-prone and time-consuming.
Create a new Quarto chapter that sets root paths, reads the target Stata dataset with haven, runs the specified feols regression with fixest, and writes a modelsummary table to the Overleaf files directory.
High-intent search queries and answers about installing and using this skill.
Reproducible Quarto chapters are generated using templates with labeled executable chunks, consistent chunk options, and standardized project root paths. These templates integrate tidyverse, fixest, modelsummary, and haven to produce executable code and publication-ready analysis artifacts.
Exporting modelsummary tables to Overleaf requires setting standardized project root and Overleaf output paths within Quarto. The templates configure these directories so regression results automatically route to the correct Overleaf files folder during rendering.
Stata datasets can be read into Quarto using the haven package, allowing you to convert Stata-based analyses into R scripts. The templates apply fixest for regressions and modelsummary for tables, replacing the original Stata workflow with reproducible R code.
Quarto chapters require consistent chunk labels and specific chunk options like echo, eval, and message. Conventions also include using set.seed for reproducibility and applying tidyverse, fixest, modelsummary, and haven standards to ensure code executes correctly and prints properly.
Both standalone R scripts and Quarto chapters are supported. Standalone scripts receive templates for loading data, running regressions, and saving results, while Quarto chapters add labeled chunks and rendering options for broader book-based replication workflows.
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