eda

Use this skill whenever the user wants to explore, profile, or understand a tabular dataset for general data science or ML purposes. This includes requests to perform exploratory data analysis (EDA), profile a dataset, understand data quality, find patterns or anomalies, check distributions, assess feature relationships, or prepare data understanding before modeling. Trigger when the user uploads a CSV, Excel, Parquet, or other tabular data file and asks anything like “analyze this data”, “what does this dataset look like”, “EDA”, “data profiling”, “explore this”, “tell me about this data”, “check data quality”, or “summarize this dataset”. Also trigger when the user explicitly mentions EDA or exploratory analysis even without uploading a file yet. Do NOT trigger for pure modeling/ML tasks, dashboard building, ETL pipeline creation, or any demand/sales forecasting, time series forecasting, or retail/supply chain analysis — use the forecasting skill for those instead.