Data Analysis

Data Analysis is a Data skill for Claude Code, published by pedrohcgs in claude-code-my-workflow.

1.5K stars2.9K forkson pedrohcgs/claude-code-my-workflowAdded 2026/08/19+1% in starsRepository updated 2026/06/10

academic-writingcausal-inferenceclaude-codeclaude-code-skillseconometricseconomicslatexquartoreproducible-researchresearch-workflow

Install in seconds

Install Data Analysis

Copy Data Analysis into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/pedrohcgs/claude-code-my-workflow/tree/main/.claude/skills/data-analysis ~/.claude/skills/data-analysis

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/pedrohcgs/claude-code-my-workflow.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: .claude/skills/data-analysis/SKILL.md in pedrohcgs/claude-code-my-workflow
Installs to: ~/.claude/skills/data-analysis
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Data Analysis does

Data Analysis runs an end-to-end R data analysis pipeline—from exploration and cleaning to regression and publication-ready tables and figures. Use it when asked to analyze a dataset, run regressions, or produce empirical results with reproducible scripts and outputs.

Data Analysis is cataloged under Data on DirSkills. Data Analysis comes from a repository tagged academic-writing, causal-inference, claude-code, claude-code-skills and econometrics.

Documentation

README

Excerpt

Data Analysis Workflow

Run an end-to-end data analysis in R: load, explore, analyze, and produce publication-ready output.

Input: $ARGUMENTS — a dataset path (e.g., data/county_panel.csv) or a description of the analysis goal (e.g., "regress wages on education with state fixed effects using CPS data").

Constraints

Follow R code conventions in .claude/rules/r-code-conventions.md
Save all scripts to scripts/R/ with descriptive names
Save all outputs (figures, tables, RDS) to output/
Use saveRDS() for every computed object — Quarto slides may need them
Use project theme for all figures (check for custom theme in .claude/rules/)
Run r-reviewer on the generated script before presenting results

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Data Analysis

What else does pedrohcgs publish alongside Data Analysis?
Data Analysis is one of 25 skills that DirSkills catalogs from pedrohcgs/claude-code-my-workflow, the repository it ships in. Its siblings there include Audit Reproducibility, Capture Environment and Checkpoint. Each one is a separate skill with its own page in this directory, installs the same way Data Analysis does, and is maintained by pedrohcgs in that same repository. The rest of the collection is listed on the pedrohcgs/claude-code-my-workflow page.
How does Data Analysis compare to other Data skills?
Data Analysis ranks #387 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Data Analysis against them. Open each page to compare what they document and how they install.