A rigorous spreadsheet production system that leverages Python and .NET tools to generate, validate, and audit high-fidelity Excel workbooks.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install minimax-xlsx-pro
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install minimax-xlsx-pro using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is minimax-xlsx?
The minimax-xlsx skill is a high-performance spreadsheet production system designed for the Openclaw Skills ecosystem. It bridges the gap between raw data and professional Excel deliverables by combining the flexibility of Python 3 (openpyxl and pandas) with the structural rigor of a specialized .NET CLI. This skill is specifically built for scenarios where data integrity and professional formatting are non-negotiable.
Unlike standard libraries that only write formula text, minimax-xlsx includes a headless recalculation engine powered by LibreOffice to ensure every calculated cell is accurate before delivery. By adhering to strict OpenXML standards, it guarantees that every .xlsx or .xlsm file produced is fully compatible with Microsoft Excel 2013 and newer, making it an essential tool for developers using Openclaw Skills for automated reporting.
minimax-xlsx Use Cases
- Automating the creation of publication-ready financial models with complex formula chains.
- Generating data-driven reports featuring multi-dimensional PivotTables and embedded charts.
- Validating and auditing existing spreadsheet structures for formula errors like #REF! or #VALUE!.
- Converting large-scale datasets into styled workbooks with full data provenance and traceability.
- Producing cross-compatible spreadsheets that require sophisticated lookups and INDEX-MATCH logic.
How minimax-xlsx Works
- Intake and Profiling: The skill analyzes the request, cleans raw data, and identifies the necessary provenance for all external data sources.
- Structural Design: A sheet-level blueprint is created to map out cell layouts, formula dependencies, and cross-sheet relationships.
- Incremental Fabrication: Workbooks are constructed sheet-by-sheet, applying specific visual themes and formatting rules.
- Automated Recalculation: The system invokes a headless recalculation script to compute formula results and scan for error tokens.
- Diagnostic Auditing: The MiniMaxXlsx CLI tool performs refchecks and chart audits to ensure no range overflows or bounding-box overlaps exist.
- Compliance Verification: A final gate check ensures the file meets Microsoft Office 2013 standards before delivery through Openclaw Skills.
minimax-xlsx Setup
To utilize minimax-xlsx within your Openclaw Skills environment, ensure Python 3 and LibreOffice are installed for recalculation support.
Install the required Python libraries:
pip install openpyxl pandas
Verify the availability of the utility scripts:
# Test the recalculation engine
python ./scripts/recalc.py sample.xlsx
# Test the structural diagnostic tool
./scripts/MiniMaxXlsx check sample.xlsx
minimax-xlsx Data Schema & Taxonomy
The skill follows a strict organizational taxonomy to ensure clarity and professional presentation:
| Component | Organization Method |
|---|---|
| Cover Page | Mandatory first sheet containing the project title and formula index. |
| Data Regions | Content starts at cell B2; gridlines are disabled for a clean UI. |
| Formatting | Color-coded inputs (blue) vs. formula outputs (black). |
| Traceability | Traceability columns for 'Provider' and 'Reference Link' appended to data. |
| PivotTables | Built via native OpenXML construction for read-only integrity. |
minimax-xlsx Advanced Features
- Headless formula engine to detect and resolve #DIV/0!, #N/A, and #NAME? errors during the build process.
- Support for domain-specific visual themes including financial, verdant (ecology), and dusk (tech) palettes.
- Structural 'refcheck' diagnostics to identify header capture errors and narrow aggregation issues.
- Intelligent conversion of Google Sheets-only functions into Excel-compatible INDEX-MATCH or SUMPRODUCT alternatives.
- Automated chart validation that detects empty charts or overlapping bounding boxes on the canvas.
SKILL.md
Loading
Related Openclaw Skills
China Telecom Mail
An automation-ready email management skill for China Telecom accounts supporting secure POP3 and SMTP protocols.
Bytedance TOS Image Processing
A comprehensive image processing skill for Bytedance TeraObjectStore that automates resizing, format conversion, and watermarking via the official SDK.
Water Safety & Swimming
A comprehensive AI survival skill focused on drowning prevention, water competency assessment, and emergency rescue techniques.
Wage Theft Defense Kit
A comprehensive toolkit for identifying, documenting, and recovering stolen wages through automated legal templates and jurisdiction-aware guidance.
Hepha
Hepha is an autonomous agent skill that executes iterative delivery loops using a plan-execute-check-review-commit workflow for unattended coding tasks.
Values Clarification & Purpose
A structured framework for AI agents to help users identify their core values and align their daily actions with their life purpose.
Featured*
