Data analysis (inspect → plan → analyze → interpret)
End-to-end analysis of an uploaded dataset — inspect structure and quality, write an explicit analysis plan, clean and transform with every step recorded, run the analyses with the verified statistical tools, and deliver a reproducible analysis report (data quality · plan · assumption checks · results with effect sizes and CIs · interpretation · limitations · code).
Key
data-analysisTypeWorkflow skill
DomainData analysis
Slash command
/analyzeHow to run it
Type the slash command in the composer followed by your request, or describe what you need in plain language — the skill is selected automatically.
/analyze <your request>
Step-by-step walkthrough with screenshots: Skill guide →
Method skills it composes
- Descriptive statistics
- Correlation analysis
- Regression (linear · logistic)
- Mixed-effects models
- A/B testing
- Speech-to-text (local whisper)
- Acoustic features (formants · MFCC)
- Voice emotion (acoustic features)
- Facial expression (image · video, measured)
- Body pose (image · video, measured)
- Remote PPG from face video (rPPG)
- EEG analysis (preprocess · band power · topomap · ERP · ERD/ERS · SSVEP)