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SkillsMP hat 13 Skills aus nealcaren/pi-quant-toolkit gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 13 von 13 gesammelten Skills angezeigt.
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.
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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",…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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.…
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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,…
Quellsprache: Englisch