A specialized utility for AI agents to generate professional, multi-sheet Excel workbooks from structured JSON data using Openclaw Skills.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install excel-export
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install excel-export using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Excel Export skill provides a robust mechanism for AI agents to deliver production-ready .xlsx files. It excels at creating sales reports, financial summaries, and multi-sheet data exports with deterministic layouts, frozen headers, and built-in filters. Designed with a focus on data integrity, this addition to Openclaw Skills ensures that leading zeros are preserved, dates are correctly typed, and calculations remain live via Excel formulas.
This skill is built to handle the entire workbook creation process, applying professional styling like Table Style Medium 9 and banded rows automatically. It is particularly useful for developers using Openclaw Skills who need to present data in a format that is immediately ready for business stakeholders, complete with regional formatting defaults for French and Moroccan locales.
To prepare your environment for this skill, create a dedicated virtual environment and install the required dependencies:
python3 -m venv ~/.openclaw/workspace/.venv_excel
~/.openclaw/workspace/.venv_excel/bin/pip install xlsxwriter
The skill utilizes a specific JSON structure to define the workbook content. It requires a top-level sheets array where each object defines a single tab.
| Level | Field | Description |
|---|---|---|
| Sheet | name |
The tab name (maximum 31 characters). |
| Sheet | columns |
An array of column metadata (key, header, type, total). |
| Column | type |
Supports text, integer, number, percent, currency, date, and boolean. |
| Column | total |
Optional summary functions: sum, average, or count. |
| Data | rows |
An array of objects where keys must match the defined column keys. |
=[@Revenue]/SUM([Revenue])) that remain dynamic in the final file.Loading
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