data-analysis-pro
Data analysis (professional)
Skill text is English; answer in the user’s preferred language when rules or the conversation specify it.
Use pandas and your stack’s plotting docs for API truth; this skill encodes analytical grain, pipeline discipline, honest descriptive statistics, and delivery patterns — not notebook theater. Confirm Python environment, data sensitivity (PII), and whether claims are descriptive or causal. content-analysis-pro handles unstructured narrative/media interpretation.
Boundary
data-analysis-pro owns tabular workflows: ingest → validate types → define grain → transform → aggregate → visualize → export (including openpyxl presentation). postgresql-pro owns server-side database product design beyond extracts. business-analysis-pro owns business requirements packaging from metrics. algorithm-pro is for heavy algorithmic theory — not typical EDA.