excel-author

Name: excel-author
Availability: InStock
Author: zeronx

Generate auditable Excel workbooks with openpyxl for financial modeling.

Updated Jul 13, 2026

Search Tags:#audit #finance #openpyxl #spreadsheet #excel #modeling

Ready to run

npx skills add https://github.com/zeronx798/demo-hermes-agent --skill excel-author-zeronx798

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: excel-author
Source: https://github.com/zeronx798/demo-hermes-agent/tree/main/optional-skills/finance/excel-author
Command: npx skills add https://github.com/zeronx798/demo-hermes-agent --skill excel-author-zeronx798

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, and includes scripts (resource) components.

What problem does it solve?

This skill solves the issue of opaque, error-prone financial modeling by enforcing strict, banker-grade conventions that ensure every spreadsheet is auditable, flexible, and easy for others to review.

Core Features & Use Cases

Standardized Formatting: Automatically applies blue/black/green color coding to distinguish between hardcoded inputs, formulas, and external links.
Auditability: Enforces the use of formulas over hardcoded values and requires cell comments for all inputs to ensure full traceability.
Use Case: Ideal for building complex financial models like DCFs, LBOs, or 3-statement models where accuracy and transparency are critical for decision-making.

Quick Start

Use the excel-author skill to generate a new financial model workbook with a balance check tab and sensitivity analysis for the provided revenue projections.

Frequently Asked Questions about excel-author

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I build auditable Excel financial models with openpyxl?▼

Auditable Excel financial models are generated using openpyxl to enforce banker-grade conventions, applying standardized color coding to inputs and formulas while requiring cell comments for full traceability. This ensures spreadsheets remain flexible and easy to review.

What is the best way to automate complex financial statement generation in spreadsheets?▼

Automating complex financial statement generation is best handled by enforcing strict modeling conventions that prioritize formulas over hardcoded values. This approach creates standardized, transparent workbooks ideal for building DCFs, LBOs, and 3-statement models.

Do I need LibreOffice to recalculate spreadsheet formulas generated by openpyxl?▼

Yes, LibreOffice is required for headless formula recalculation in generated workbooks. While openpyxl constructs the Excel workbook and applies financial modeling conventions, LibreOffice processes the underlying formulas to ensure calculated values are accurate.

Can I add sensitivity tables and balance checks to my financial modeling workbook?▼

Yes, you can add sensitivity tables and balance check tabs to your financial modeling workbook. The skill generates these components alongside complex financial statements to ensure accuracy, transparency, and structural integrity for decision-making.

Why use standardized formatting for hardcoded inputs and external links in financial spreadsheets?▼

Standardized formatting distinguishes hardcoded inputs, formulas, and external links using blue, black, and green color coding. This visual convention solves the problem of opaque, error-prone financial modeling by making spreadsheet logic immediately clear to reviewers.

What are the limitations of using Python for spreadsheet modeling compared to native Excel?▼

Python spreadsheet modeling requires external dependencies like openpyxl for workbook construction and LibreOffice for headless formula recalculation. Unlike native Excel, it does not offer interactive visual feedback during the modeling process, focusing instead on programmatic auditability.