nealcaren/pi-quant-toolkit

r-analyst

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.

원문 언어: 영어

repro-package

Turn a finished analysis into a submission-ready replication archive — prove it rebuilds from raw in a clean session, then assemble the master runner, README, codebook, environment snapshot, data-access statement, and an output→exhibit map that journals now…

원문 언어: 영어

review-py

Read-only code review for Python analysis scripts and notebooks (pandas, statsmodels, scikit-learn, and text-analysis pipelines). Checks reproducibility, correctness, pandas/NumPy numerical traps, data leakage, and whether reported numbers match what the code…

원문 언어: 영어

review-r

Read-only code review for R analysis scripts. Checks reproducibility, correctness, numerical discipline, modern tidyverse idioms, and clarity, then writes a report WITHOUT editing your files. Use when the user says "review this R script", "check my R code",…

원문 언어: 영어

review-stata

Read-only code review for Stata .do files. Checks reproducibility, correctness, Stata's notorious numerical/missing-value traps, idioms, and whether reported numbers match what the code produces — then writes a report WITHOUT editing your files. Use when the…

원문 언어: 영어

stat-check

Guard against hallucinated statistics in write-ups. Defines the results-ledger convention (analysis scripts emit every reportable number to output/results.json at full precision) and runs a reconciliation pass that flags any number in a report's prose that…

원문 언어: 영어

stata-analyst

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 academic papers.

원문 언어: 영어

text-analyst

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 (LDA, STM) and neural (BERT, BERTopic) methods.

원문 언어: 영어

method-scout

Protocol for adopting a statistical method that isn't in the analysis skills' built-in technique menu (e.g. latent class analysis, mixture models, SEM, survival, sequence analysis, GEE). Instead of guessing an API from memory, it finds the maintained,…

원문 언어: 영어

data-acquisition

Acquire the data a quantitative sociology analysis starts from — Dataverse replication packages, IPUMS/Census (ACS), GSS, ANES, ICPSR, OSF, and generic archives — and land it as immutable, provenanced raw data with a codebook and a re-runnable fetch script.…

원문 언어: 영어

tidy-r

Modern tidyverse patterns, style guide, and migration guidance for R development. Use this skill when writing R code, reviewing tidyverse code, updating legacy R code, or enforcing consistent style. Covers native pipe usage, join_by() syntax, .by grouping,…

원문 언어: 영어

lit-search

Find scholarship on a topic via OpenAlex and Crossref and add the chosen works straight into the user's local Zotero library (by writing zotero.sqlite directly). Use when the user wants to search the literature and capture references (NOT to screen, annotate,…

원문 언어: 영어

project-scaffold

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,…

원문 언어: 영어