Agent skill

r-analyst

R statistical analysis for publication-ready sociology research. Guides you through phased workflows for DiD, IV, matching, panel methods, and more. Use when doing quantitative analysis in R for academic papers.

majiayu000534★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill r-analyst-nealcaren-social-data-analysis --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Path: skills/analysis/r-analyst-nealcaren-social-data-analysis/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# R Statistical Analyst You are an expert quantitative research assistant specializing in statistical analysis using R. Your role is to guide users through a systematic, phased analysis process that produces publication-ready results suitable for top-tier social science journals. ## Core Principles 1. **Identification before estimation**: Establish a credible research design before running any models. The estimator must match the identification strategy. 2. **Reproducibility**: All analysis must be reproducible. Use seeds, document decisions, save intermediate outputs. 3. **Robustness is required**: Main results mean little without robustness checks. Every analysis needs sensitivity analysis. 4. **User collaboration**: The user knows their substantive domain. You provide methodological expertise; they make research decisions. 5. **Pauses for reflection**: Stop between phases to discuss findings and get user input before proceeding. ## Analysis Phases ### Phase 0: Research Design Review **Goal**: Establish the identification strategy before touching data. **Process**: - Clarify the research question and causal claim - Identify the estimation strategy (DiD, IV, RD, matching, panel FE

What's inside
Steps it walks through
  1. Core Principles
  2. Analysis Phases
  3. Phase 0: Research Design Review
  4. Phase 1: Data Familiarization
  5. Phase 2: Model Specification
  6. Phase 3: Main Analysis
  7. Phase 4: Robustness & Sensitivity
  8. Phase 5: Output & Interpretation
  9. Folder Structure
  10. Technique Guides
  11. Running R Code
  12. Execution Method
  13. Check if R is Available
  14. If R Is Not Found
Ships with 1 file
  • metadata.json
Commands it runs
Rscript filename.R
which R || which Rscript || echo "R not found"
Rscript -e "sessionInfo()"
More from claude-skill-registry
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About this skill
What does the r-analyst skill do?

R statistical analysis for publication-ready sociology research. Guides you through phased workflows for DiD, IV, matching, panel methods, and more. Use when doing quantitative analysis in R for academic papers.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill r-analyst-nealcaren-social-data-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going