data-quality-reportlisted

# Data Quality Report A governance-grade reporting skill. Produces auditable PDF deliverables aligned to DAMA-DMBOK2 standards, with traceable lineage and compliance checks. ## When to use this skill Activate when the user has a dataset and needs a **formal, archivable quality report** — not just an exploratory analysis. Typical signals: - "Generate an audit-ready PDF for this dataset" - "I need a quality report I can send to compliance / regulator / management" - "Produce a DAMA-aligned data quality assessment" - "Génère-moi un rapport qualité que je peux archiver" - "Audit cette base de données pour la conformité" **Pre-condition:** the dataset should be loaded and reasonably structured. If raw quality is very low (>50% missing across many columns), call `eda-explorer` first to surface issues, then loop back to this skill once the user decides on a cleaning strategy. **Do NOT activate this skill for:** - Quick exploration → use `eda-explorer` - Feature preparation → use `feature-engineer` - Real-time monitoring (this is a snapshot skill, not a streaming one) ## Workflow For every request, follow these 6 phases in order. **Never skip a phase.** ### Phase 1 — Profiling Run a complete profile of the dataset. Reuse the logic from `eda-explorer` if it produces results in the same conversation; otherwise, compute fresh: - Shape, dtypes, memory - Missing value counts and percentages per column - Cardinality and uniqueness per column - Numeric statistics (min, max, mean,