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nealcaren AI Skills

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Explorez les skills IA publiés de nealcaren et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

7

Étoiles des dépôts des skills indexés

74

Forks du dépôt

14

Moyenne des étoiles par skill indexé

11

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

7 skills

Explorer

GitHub

lit-review

nealcaren

Build systematic literature databases for sociology research using OpenAlex API. Guides you through search, screening, snowballing, annotation, and synthesis with structured user interaction at each stage.

GitHub

stata-analyst

nealcaren

Stata 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 Stata for academi...

GitHub

interview-analyst

nealcaren

Pragmatic qualitative analysis for interview data in sociology research. Guides you through systematic coding, interpretation, and synthesis with quality checkpoints. Supports theory-informed (Track A) or data-...

GitHub

abductive-analyst

nealcaren

Abductive analysis for qualitative interview data following Timmermans & Tavory. Guides you through theory-first analysis that recognizes anomalies and generates novel theoretical insights through systematic pu...

GitHub

lecture-designer

nealcaren

Transform textbook chapters into engaging, evidence-based lectures with slides. Guides instructors through learning outcomes, narrative design, active learning activities, and Quarto reveal.js slide creation.

GitHub

r-analyst

nealcaren

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...

GitHub

text-analyst

nealcaren

Computational text analysis for sociology research using R or Python. Guides you through topic models, sentiment analysis, classification, and embeddings with systematic validation. Supports both traditional (L...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.