Q-EDA

Universal exploratory data analysis (EDA) for tabular datasets. Previews the dataset, interviews the user to confirm column measurement levels, and applies statistically appropriate analysis for each variable type, producing a structured tables-eda/ folder and a holistic EXPLORATORY_SUMMARY.md with flagged insights.

IMPORTANT: This skill requires Bash execution. The pre-built scripts/run_eda.py must be copied from ${SKILL_DIR}/scripts/ — do NOT write a new script or inline Python. Run it (Phases 0-6) for CSVs and the Excel report, then write EXPLORATORY_SUMMARY.md yourself (Post-Script step) by reading the CSVs, consulting ${SKILL_DIR}/references/summary_template.md, and using the Write tool directly.

If in plan mode: write a brief plan — "Run q-eda skill: interview user for context and column types, deploy and execute run_eda.py, write EXPLORATORY_SUMMARY.md from generated CSVs." — then call ExitPlanMode immediately. Do NOT attempt Stages A/B, script deployment, or any analysis while plan mode is active.

0. Dependencies