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By nealcaren
Develop causal diagrams (DAGs) from social-science research questions, theory, or literature, and render publication-ready figures using Mermaid, R's ggdag, or Python's networkx.
npx claudepluginhub nealcaren/sociology-analysis-agents --plugin dag-developmentShare bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
R statistical analysis for publication-ready sociology research. Phased workflow for DiD, IV, matching, panel methods, and more with pauses for user review.
Stata statistical analysis for publication-ready sociology research. Phased workflow for DiD, IV, matching, panel methods, and more with pauses for user review.
Skills and agents for anthropological research across the full research lifecycle — from question formulation through publication and career advancement
Generate publication-quality academic diagrams, statistical plots, and presentation slides using PaperBanana multi-agent framework
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
R statistical analysis for publication-ready sociology research. Phased workflow for DiD, IV, matching, panel methods, and more with pauses for user review.
Draft publication-ready Theory sections for sociology research. Guides structure, paragraph functions, sentence craft, and calibration based on analysis of 80 Social Problems/Social Forces articles.
Build systematic literature databases using OpenAlex API. Phased workflow for search, screening, snowballing, annotation, and synthesis with structured user interaction.
Computational text analysis using R or Python. Topic models (LDA, STM, BERTopic), sentiment analysis, classification, and embeddings with systematic validation.
Pragmatic qualitative analysis for interview data. Supports theory-informed or data-first approaches with systematic coding, quality indicators, and publication-ready synthesis.
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