Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install brycewang-stanford-awesome-agent-skills-for-empirical-research-skills-12-pedrohcgs-claude-code-my-workflow-dot-claude-skills-regit clone https://github.com/brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research.gitcp Awesome-Agent-Skills-for-Empirical-Research/SKILL.MD ~/.claude/skills/brycewang-stanford-awesome-agent-skills-for-empirical-research-skills-12-pedrohcgs-claude-code-my-workflow-dot-claude-skills-re/SKILL.md--- name: review-r description: Run the R code review protocol on R scripts. Checks code quality, reproducibility, domain correctness, and professional standards. Produces a report without editing files. argument-hint: "[filename or 'all' or 'LectureN']" allowed-tools: ["Read", "Grep", "Glob", "Write", "Task"] --- # Review R Scripts Run the comprehensive R code review protocol. ## Steps 1. **Identify scripts to review:** - If `$ARGUMENTS` is a specific `.R` filename: review that file only - If `$ARGUMENTS` is `LectureN`: review all R scripts matching that lecture - If `$ARGUMENTS` is `all`: review all R scripts in `scripts/R/` and `Figures/*/` 2. **For each script, launch the `r-reviewer` agent** with instructions to: - Follow the full protocol in the agent instructions - Read `.claude/rules/r-code-conventions.md` for current standards - Save report to `quality_reports/[script_name]_r_review.md` 3. **After all reviews complete**, present a summary: - Total issues found per script - Breakdown by severity (Critical / High / Medium / Low) - Top 3 most critical issues 4. **IMPORTANT: Do NOT edit any R source files.** Only produce reports. Fixes are applied after user review.