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pg-reportinglisted

Convert Pingouin results into compact, polished APA-style or Chinese psychology result sections with tables, assumption notes, and uncertainty caveats.
Exekiel179/pingouin-psych-stats · ★ 0 · Data & Documents · score 72
Install: claude install-skill Exekiel179/pingouin-psych-stats
# PG Reporting Use after a Pingouin result table exists or when the user asks to beautify/statistically polish output. ## Load Read: - `../../references/supervision-gates.md` - `../../references/apa-output-template.md` - `../../references/pingouin-api-quickref.md` - `../../references/archive-contract.md` when the result is part of an analysis run. - `../../references/pingouin-optimization.md` when inspecting result columns or corrections. - `../../references/report-output-contract.md` for manuscript or publication-ready output. ## Inputs Need one of: - Raw Pingouin result table. - A dataframe/result object available in the workspace. - Full numeric values from the user. If no numeric results are available, generate a fill-in template and refuse to invent numbers. ## Workflow 1. Identify test family and output columns. 2. Verify sample size, statistic, df, p-value, effect size, CI, and correction columns. 3. Create a reader layer: finding summary and polished prose. 4. Create an evidence layer: titled APA table, assumption notes, corrections, effect sizes, and CIs. 5. Create a provenance layer: run id, source result, software versions, code path, and S0-S5 audit. 6. Add explicit limitation notes and separate them from interpretation. 7. Save the report under the active run's `reports/` directory and record its source result file. ## Output Style For Chinese users, default to Chinese prose with English statistical symbols: ```markdown **结果。** 独立样本 t 检验显示,A 组得分显著高于