What this skill does
Lark Sheets explains how to read and write data, preserve cell types and work with formulas, formatting and charts. It distinguishes numbers used in calculations from codes or labels that should remain text. It also calls for checking the sheet after writing, rather than treating every successful request as a correct result.
Businesses can use it to prepare expense tracking, review a table or add a calculated column. People define data meanings and rules; the AI employee applies them and verifies representative examples. Mark unknown values as missing, so a visually complete table does not conceal invented data.
When it can help
- Add formulas to shared tracking sheets.
- Prepare charts from spreadsheet data.
- Review a table's types, units and consistency.
A task to get started
Add a margin column using this sheet's revenue and cost columns. Preserve codes as text, verify several results and prepare a chart that can be reviewed against its source data.
What you need
- Lark CLI and permissions for the workbook and sheet.
- Definitions of columns, units and calculation rules.
Limits and result review
- Check formulas in the actual environment with representative data.
- Consult the Feishu source externally; Hub currently imports only public GitHub sources.
How to explore this skill
This skill is distributed through Feishu. Hub currently imports public GitHub repositories; consult the original source for its requirements and procedure.
View on skills.sh ↗A skill provides a procedure. Each employee's permissions, approvals and connections still determine available actions. Adding it does not automatically install software or execute the author's scripts.
Sources and documentation
An iabot editorial explanation based on original documentation. Authorship remains with open.feishu.cn. This guide is not a Hub compatibility test and does not distribute a translation of the author’s code.
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