Chart Advisor
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About this skill
Problem
When you have sales, ops, or finance data but are unsure whether to use a bar chart, line chart, or table, Chart Advisor narrows the task into confirmable choices. It does not replace OCR or deep statistical modeling; it focuses on the data-to-chart/table delivery path: identify the reader role, infer the goal, and present 2-3 practical directions instead of overwhelming the user.
How It Works
The core flow is: role → goal → template → preprocessing → charting → validation → delivery.
- Role calibration: infers whether the user is rushed, partially prepared, or experienced, then switches between
simplify,standard, orempowermodes. - Goal anchoring: after receiving data, asks in plain language what you want to know, such as ranking, trend, period comparison, or anomalies.
- Template and table: selects a column structure from
T1-T6, such as ranking, comparison, time series, or KPI overview, and confirms fields before processing. - Deliverable: generates a multi-sheet
.xlsxworkbook with raw data, summary, embedded chart, and optional splits; the script applies number formats, totals, embedded charts, and aCtrl+Ttable. - Validation: checks file existence, embedded charts, data integrity, formatting, required sheets, and cross-dimension consistency before delivery.
Boundaries
It is useful for chart selection, Excel table standards, color, and title guidance. It is not intended for screenshot parsing or complex modeling such as regression, clustering, or forecasting; aggregate large category sets first. Color, title, and chart type can still be adjusted after delivery.
Use Cases
- Sales needs monthly regional data turned into ranked or trend charts with summary sheets.
- Ops wants channel funnel loss from stage data in raw, summary, and chart sheets.
- Analysts need KPI charts with role-based density, viewpoint titles, and compliant colors.
- PMs need version metric comparisons, period anomalies, and pre-delivery validation.
Best For
- Ops leads who turn weekly regional sales data into boss-readable ranking charts.
- Analysts who convert channel funnel data into stage loss and period-comparison tables.
- Finance staff who deliver Excel files with totals, embedded charts, and Ctrl+T tables.
- Product managers reviewing version metrics and flagging anomalous periods automatically.
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