explore-ml-data
Installation
SKILL.md
Explore ML Data
Understand the dataset before designing a model. One project-level
EDA per workspace: an executable data/eda.py, a persisted
data/eda.md narrative, rich data/eda_<table>.html reports, and a
short JOURNAL section that links them. The findings feed the baseline
design note's learner / splitter / metric choices.
Next-step pointers — where you go after this skill
| You came here for… | → next |
|---|---|
| Bootstrap, before the first baseline | → back to iterate-ml-experiment § 0; the EDA findings inform the auto-drafted 01_baseline.md |
| User free-text ("explore the data") | → surface the findings; no further dispatch unless the user asks to model |
| Re-understand a changed data source | → re-run, overwrite data/eda.*, refresh the JOURNAL EDA section |
Always re-emit the Pre-flight checklist with evidence before declaring the turn done.