What problem does it solve? Handling spreadsheet tasks across two worlds—local Excel/CSV files and Feishu (Lark) online spreadsheets—requires different tools, formulas, and delivery formats. This Skill unifies both into one workflow, routing each task to the right engine (Python/openpyxl for local files, lark-cli for online sheets) and enforcing rules that prevent common failures like hardcoded values, broken formulas, and lossy imports. ## Core Features & Use Cases - Dual-engine spreadsheet processing: Read, write, analyze, and format local .xlsx/.xls/.csv files with Python (pandas/openpyxl) or operate Feishu online spreadsheets via lark-cli, with one-command import of local workbooks into Feishu. - Native online objects: Create pivot tables, charts, sparklines, conditional formats, filters, cell-embedded images, and dropdowns as real Feishu objects that stay linked to source data instead of static screenshots or dead tables. - Formula-first discipline with verification: Write live formulas rather than precomputed values, translate Excel formulas to Feishu syntax, and run formula verification until zero errors (#REF!, #DIV/0!, etc.) before delivery. - Use Case: A user uploads a sales .xlsx and asks for a grouped summary with a trend chart. The Skill inspects the workbook, imports it into Feishu, builds a native pivot table and chart, verifies all formulas, and delivers the online spreadsheet link. ## Quick Start Upload an Excel file or paste a Feishu spreadsheet link and ask the AI to analyze, summarize, or visualize the data in a spreadsheet.