excel-author

Generate auditable .xlsx financial workbooks with openpyxl and banker-grade conventions.

Updated Jun 25, 2026
One-click install
npx skills add https://github.com/Rheasilvia/hermes-desktop --skill excel-author-rheasilvia
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: excel-author
Source: https://github.com/Rheasilvia/hermes-desktop/tree/main/optional-skills/finance/excel-author
Command: npx skills add https://github.com/Rheasilvia/hermes-desktop --skill excel-author-rheasilvia

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill solves the issue of inconsistent, error-prone, and non-auditable financial modeling by enforcing strict banker-grade conventions for headless Excel generation.

Core Features & Use Cases

  • Auditable Formatting: Automatically applies color-coded cell styling to distinguish between hardcoded inputs, formulas, and external links.
  • Robust Modeling: Enforces the use of Excel formulas over hardcoded values and supports named ranges for complex cross-sheet references.
  • Use Case: A financial analyst needs to generate a 3-statement model or a DCF analysis that is reviewable by peers; this skill ensures the output is structured, contains balance checks, and includes source documentation for every input.

Quick Start

Use the excel-author skill to generate a new financial model workbook with a DCF projection and a balance check tab.

Frequently Asked Questions about excel-author

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

FAQPage Schema
How do I generate auditable financial models in Excel using Python?▼

To generate auditable financial models, this skill uses openpyxl to build .xlsx workbooks that enforce banker-grade conventions, applying color-coded styling to separate hardcoded inputs from formulas. It structures your models with balance checks and source documentation for reliable peer review.

Can I build a DCF projection and sensitivity tables with openpyxl?▼

Yes, you can build DCF projections and sensitivity tables with openpyxl. This skill supports complex financial analysis tasks by enforcing Excel formulas over hardcoded values and utilizing named ranges for cross-sheet references to maintain calculation integrity.

Do I need LibreOffice to recalculate Excel formulas generated via Python?▼

Yes, you need LibreOffice for headless formula recalculation to ensure data integrity. While openpyxl constructs the workbook and writes the formulas, LibreOffice processes these calculations outside of a standard desktop Excel environment.

What is the best way to automate a 3-statement model with balance sheet reconciliation?▼

The best way to automate a 3-statement model with balance sheet reconciliation is using this skill, which generates structured .xlsx workbooks featuring built-in balance checks and automated formatting to distinguish inputs, formulas, and external links.

Does openpyxl support banker-grade formatting for hardcoded inputs and formulas?▼

Openpyxl supports banker-grade formatting when driven by this skill, which automatically applies color-coded cell styling to distinguish hardcoded inputs, formulas, and external links, ensuring the resulting spreadsheet is fully auditable.