From super-analysis
Use when the user wants to analyze one CSV or Excel dataset with rcode-backed questionnaire scoring, assumption checks, method recommendation, and traceable script generation.
npx claudepluginhub wei-hci/vibe_example --plugin super-analysisThis skill uses the workspace's default tool permissions.
This skill is the short-form entry point for the Super Analyze workflow.
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This skill is the short-form entry point for the Super Analyze workflow.
If the plugin command /super-analysis:run is available, prefer it because it
is written to use structured confirmation prompts. Use this skill when the user
calls /super-analysis directly.
/super-analysis path/to/data.csv
If the user does not provide a dataset path, ask for one before continuing.
You must complete these phases in order:
Prefer the repository helpers over ad-hoc reasoning:
.\myenv\Scripts\python.exe .\scripts\super_analyze.py scan <path>
.\myenv\Scripts\python.exe .\scripts\super_analyze.py recommend <path>
If .\myenv\Scripts\python.exe does not exist, fall back to python.
The scan report must include:
Do not guess past these cases. Ask the user instead.
After the user confirms the scan, run the recommendation helper and present one card per DV with:
Use these defaults unless the user overrides them:
| Design | Parametric | Non-parametric |
|---|---|---|
| 2 conditions, within | Paired t-test | Wilcoxon signed-rank |
| 2 conditions, between | Independent t-test | Mann-Whitney U |
| >= 3 conditions, within | Repeated-measures ANOVA | Friedman |
| >= 3 conditions, between | One-way ANOVA | Kruskal-Wallis |
| Multi-factor | Two-way ANOVA | ART |
The primary output is the script:
analyze_xxx.pyAlso generate when relevant:
cleaned_scored.csvsummary.txtfigures/*.pngEvery major code block in the generated script must label:
Stop and correct the workflow if any of these happen: