social-science-research-codex

End-to-end empirical data analysis workflow for R or Python projects.

Find and assess datasets for a research question.

Repository-wide consistency audit for skills, hooks, rules, and docs.

Systematic literature review workflow using parallel librarian agents.

Structured interview and project-spec workflow for new research ideas.

Proofreading workflow for academic manuscripts and papers.

Verify that paper claims match analysis outputs before submission.

Configure field, institution, datasets, journals, and project metadata.

Substantive referee-style review for academic manuscripts.

Review existing R analysis code for quality and reproducibility.

Apply revisions from a review report to a manuscript.

Create or update a session log to capture decisions, changes, and progress.

Draft an academic paper from analysis outputs and project materials.

Check bibliography completeness against citations in project files.