meta-spreadsheet-insight

Provide the workbook and ask for a spreadsheet insight or data review. The Skill reads all sheets, generates a trend and anomaly summary, appends an Insights sheet to the workbook, and saves key KPIs to memory.

The writeback step appends a new sheet named 'Insights' containing the generated analysis to the existing workbook. This uses the xlsx skill, so the original sheets remain untouched while the findings are stored alongside the data.

The workflow is built around the xlsx skill and Excel workbooks with multiple sheets. CSV files are not explicitly supported by the defined steps, though an LLM fallback could attempt a similar read-summarize-write flow.

Key performance indicators from the analysis are appended to a memory file at memory/spreadsheet-kpi.md via the memory_save tool. This persists the metrics across sessions so later conversations can recall them.

The analysis quality depends on the underlying summarize step and is capped at roughly 1000 words, so very large or highly complex workbooks may be condensed. It produces descriptive trend summaries rather than statistical modeling or forecasting.