Orchestrates a social science research workflow from literature review through data collection, text analysis, statistical modeling, and report generation. Use when conducting empirical social science research, policy analysis, or mixed-methods studies. NOT for pure natural science analysis or clinical trial data.
This meta-skill coordinates a complete social science research pipeline by integrating literature discovery, data collection, natural language processing, statistical analysis, and academic report writing. It combines four specialized skills to support rigorous empirical research across economics, political science, sociology, and related disciplines.
Search SSRN and CrossRef for relevant academic papers on the research topic:
Gather quantitative data from established sources:
Apply spaCy NLP tools to analyze qualitative or textual data sources:
Use statsmodels for rigorous quantitative analysis:
Generate publication-quality figures with matplotlib:
Compile findings into a structured academic report: