social-data-analysis

Abductive analysis (Timmermans & Tavory) for theory-generating qualitative research. Theory-first approach with anomaly detection, theoretical casing, and rhetorical abduction for publication.

1 skill

Build bibliographies from manuscript citations by extracting in-text citations, matching them against a references.bib file, identifying issues, and generating a formatted reference list.

1 skill

Develop causal diagrams (DAGs) from social-science research questions and literature, then render publication-ready figures using Mermaid, R, or Python.

1 skill

Pragmatic qualitative analysis for interview data. Supports theory-informed or data-first approaches with systematic coding, quality indicators, and publication-ready synthesis.

1 skill

Build systematic literature databases using OpenAlex API. Phased workflow for search, screening, snowballing, annotation, and synthesis with structured user interaction.

1 skill

Deep reading and synthesis of literature corpus. Theoretical mapping, thematic clustering, and debate identification using local library of markdown-converted papers.

1 skill

Simulate peer review by constructing reviewer personas from project references. Identifies relevant perspectives, retrieves full texts, builds reviewer profiles, and generates focused reviews on theory/methods and findings.

1 skill

Initialize research project structure with standardized directories and metadata files. Creates project.yaml (configuration) and progress.yaml (state tracking) that other skills use for canonical paths and workflow coordination. Supports qualitative, quantitative, and mixed methods projects. Use when starting a new project or adopting an existing one.

1 skill

Systematically optimize LLM prompts for text classification tasks using reflective evolution. Guides researchers through iterative prompt development with evaluation-driven improvement. Use when users want to classify text (sentiment, topic, stance, frame, etc.) and need the best prompt for batch API processing. Supports Python and R.

1 skill

R statistical analysis for publication-ready sociology research. Phased workflow for DiD, IV, matching, panel methods, and more with pauses for user review.

1 skill

Create structured reading notes for academic papers. Converts PDFs to markdown and extracts bibliographic info, core arguments, theoretical frameworks, findings, and key quotes. Supports single-paper deep reading or batch processing with haiku agents.

1 skill

Orchestrate the research workflow—qualitative, quantitative, or mixed methods—from literature review through data analysis to verified analysis outputs (memos, tables, figures, synthesis notes). Supports non-linear, iterative work with state tracking at the sub-phase level.

1 skill

Stata statistical analysis for publication-ready sociology research. Phased workflow for DiD, IV, matching, panel methods, and more with pauses for user review.

1 skill

Computational text analysis using R or Python. Topic models (LDA, STM, BERTopic), sentiment analysis, classification, and embeddings with systematic validation.

1 skill

Verify that claims and direct quotes in research manuscripts are present in source materials. Systematically checks interview transcripts, datasets, or cited literature using fast search with haiku agent fallback for intensive reading.

1 skill

Semantic search across your project's local library (library/markdown/). Index papers, search by meaning, find similar passages, and get expanded context. Replaces the deprecated Zotero RAG integration.

1 skill