Social Data Analysis
Description
Claude Code plugins for quantitative and qualitative sociological research
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Sociology Analysis Agents for Claude Code
A Claude Code plugin marketplace with skills for rigorous quantitative and qualitative analysis in sociology and related social sciences. These skills guide you through systematic, publication-ready research workflows.
Installation
# Add this marketplace to Claude Code
/plugin marketplace add nealcaren/social-data-analysis
# Install only the plugins you need
/plugin install r-analyst@social-data-analysis
/plugin install stata-analyst@social-data-analysis
/plugin install interview-analyst@social-data-analysis
/plugin install interview-writeup@social-data-analysis
/plugin install dag-development@social-data-analysis
/plugin install abductive-analyst@social-data-analysis
/plugin install text-analyst@social-data-analysis
/plugin install lecture-designer@social-data-analysis
/plugin install lit-review@social-data-analysis
Available Plugins
Each plugin provides a single focused skill. Install only what you need:
| Skill | Invocation | Description |
|---|---|---|
| R Statistical Analyst | /r-analyst |
Phased quantitative analysis workflow using R (DiD, IV, matching, etc.) |
| Stata Statistical Analyst | /stata-analyst |
Phased quantitative analysis workflow using Stata |
| Interview Analyst | /interview-analyst |
Pragmatic qualitative analysis for interview data |
| Interview Write-Up | /interview-writeup |
Write-up support for interview methods and findings |
| DAG Development | /dag-development |
Develop causal diagrams and render publication-ready figures (Mermaid, R, Python) |
| Abductive Analyst | /abductive-analyst |
Abductive analysis (Timmermans & Tavory) for theory-generating qualitative research |
| Text Analyst | /text-analyst |
Computational text analysis with R and Python (topic models, sentiment, classification) |
| Lecture Designer | /lecture-designer |
Transform textbook chapters into engaging lectures |
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