القائمة
Convert Pingouin results into compact, polished APA-style or Chinese psychology result sections with tables, assumption notes, and uncertainty caveats.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Screen psychology datasets before Pingouin analysis: variable types, missingness, duplicates, long/wide shape, assumption checks, and safer preprocessing.
Run or generate Pingouin code for multivariate comparisons — Hotelling's T-squared test (multivariate_ttest) — plus the multivariate assumption checks box_m (equal covariance) and multivariate_normality, for designs with several dependent variables.
Route psychology statistics requests to the smallest Pingouin workflow. Use when the user asks what analysis to run, gives a psychology design, asks to analyze data with Pingouin, or needs lower-token guidance before code generation.
Compute or generate Pingouin Bayes factors for t tests, correlations, and proportions (bayesfactor_ttest, bayesfactor_pearson, bayesfactor_binom), and read the BF10 already returned by pg.ttest and pg.corr.
Run or generate Pingouin code for categorical / contingency-table analyses — chi-square test of independence, McNemar's paired test, 2x2 crosstabs, and chi-square power — for psychology data with nominal variables.
Run or generate Pingouin code for rank-based non-parametric tests — Mann-Whitney U, Wilcoxon signed-rank, Kruskal-Wallis, Friedman, and Cochran Q — when outcomes are ordinal or parametric assumptions fail.
| name | pg-reporting |
| description | Convert Pingouin results into compact, polished APA-style or Chinese psychology result sections with tables, assumption notes, and uncertainty caveats. |
Use after a Pingouin result table exists or when the user asks to beautify/statistically polish output.
Read:
../../references/supervision-gates.md../../references/apa-output-template.md../../references/pingouin-api-quickref.mdNeed one of:
If no numeric results are available, generate a fill-in template and refuse to invent numbers.
For Chinese users, default to Chinese prose with English statistical symbols:
**结果。** 独立样本 t 检验显示，A 组得分显著高于 B 组，*t*(38) = 2.41, p = .021, Cohen's d = 0.76, 95% CI [0.12, 1.38]。
For English:
An independent-samples t test showed that Group A scored higher than Group B, *t*(38) = 2.41, *p* = .021, Cohen's d = 0.76, 95% CI [0.12, 1.38].
p < .001.