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 with Quarto slides |
| Lit Review | /lit-review | Build literature databases via OpenAlex |
Each skill uses a phased workflow with mandatory pauses between phases for user review and decision-making.
Workflow Overview
Quantitative Analysis (R/Stata)
Phase 0: Research Design → Establish identification strategy
↓ [User Review]
Phase 1: Data Familiarization → Descriptives, quality checks
↓ [User Review]
Phase 2: Model Specification → Pre-specify models before estimation
↓ [User Review]
Phase 3: Main Analysis → Run models, interpret results
↓ [User Review]
Phase 4: Robustness → Sensitivity analysis, placebo tests
↓ [User Review]
Phase 5: Output → Publication-ready tables, figures, narrative
Qualitative Analysis (Interviews)
Phase 0: Theory Preparation → Sensitizing concepts (optional)
↓ [User Review]
Phase 1: Immersion → Read transcripts, create memos
↓ [User Review]
Phase 2: Coding → Develop codebook, apply codes
↓ [User Review]
Phase 3: Interpretation → Identify patterns, develop explanations
↓ [User Review]
Phase 4: Quality Check → Assess against 5 quality indicators
↓ [User Review]
Phase 5: Synthesis → Write publication-ready sections
Abductive Analysis (Timmermans & Tavory)
Phase 0: Theoretical Preparation → Build theoretical sensitivity
↓ [User Review]
Phase 1: Familiarization → Open coding, flag surprises
↓ [User Review]
Phase 2: Theoretical Casing → Apply multiple theoretical lenses
↓ [User Review]
Phase 3: Anomaly Analysis → Identify contradictions and puzzles
↓ [User Review]
Phase 4: Memo Writing → Develop tentative theory
↓ [User Review]
Phase 5: Integration → Test theory against full dataset
↓ [User Review]
Phase 6: Writing Up → Rhetorical abduction for publication
Computational Text Analysis (R/Python)
Phase 0: Research Design → Method selection, language choice (R or Python)
↓ [User Review]
Phase 1: Corpus Preparation → Load, clean, explore text data
↓ [User Review]
Phase 2: Specification → Document preprocessing, specify parameters
↓ [User Review]
Phase 3: Analysis → Run topic models, classifiers, sentiment
↓ [User Review]
Phase 4: Validation → Human validation, diagnostics, robustness
↓ [User Review]
Phase 5: Output → Publication-ready tables, figures, replication
Lecture Design
Phase 0: Context & Outcomes → Define measurable learning outcomes
↓ [Instructor Review]
Phase 1: Content Audit → Narrative arc (ABT), chunk map, hook design
↓ [Instructor Review]
Phase 2: Active Learning → Polls, ConcepTests, peer instruction
↓ [Instructor Review]
Phase 3: Slide Development → Quarto reveal.js with speaker notes
↓ [Instructor Review]
Phase 4: Review → Timing audit, backup plans, instructor guide
Repository Structure
.claude-plugin/
