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excel-author

Generate auditable Excel workbooks with openpyxl using strict cell-styling and formula-based calculations.

2|1|Updated Jul 14, 2026
Search Tags:#audit#finance#openpyxl#spreadsheet#excel#modeling
One-click install
npx skills add https://github.com/heysuhas/hermes_cli --skill excel-author-heysuhas
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: excel-author
Source: https://github.com/heysuhas/hermes_cli/tree/main/optional-skills/finance/excel-author
Command: npx skills add https://github.com/heysuhas/hermes_cli --skill excel-author-heysuhas

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill eliminates the risk of opaque, error-prone financial models by enforcing strict banker-grade conventions for structure, auditability, and formula integrity.

Core Features & Use Cases

  • Standardized Formatting: Automatically applies blue/black/green cell color coding to distinguish between hardcoded inputs, formulas, and external links.
  • Audit-Ready Structure: Enforces the use of named ranges, balance check tabs, and cell-level documentation for every input.
  • Use Case: Use this to generate complex DCF models, LBO schedules, or 3-statement projections that are immediately reviewable and flexible for sensitivity analysis.

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 build auditable Excel financial models with openpyxl?▼

To build auditable Excel financial models with openpyxl, this skill enforces banker-grade cell color conventions for inputs, formulas, and links, alongside named ranges and balance check tabs, yielding review-ready workbooks for complex projections.

What is the standard color coding for financial modeling in Excel?▼

Standard color coding for financial modeling in Excel distinguishes hardcoded inputs in blue, formulas in black, and external links in green. This skill automatically applies these strict conventions to ensure model transparency and auditability.

Can I generate a DCF analysis and sensitivity tables in Excel using Python?▼

Yes, you can generate a DCF analysis and sensitivity tables in Excel using Python. This skill creates workbooks with formula-based calculations and structured documentation, specifically supporting discounted cash flow projections and sensitivity analysis.

Does openpyxl support formula recalculation for generated financial spreadsheets?▼

openpyxl alone does not fully support formula recalculation for generated financial spreadsheets. This skill relies on openpyxl for workbook construction but requires LibreOffice for headless formula recalculation to update calculated values.

What is the best way to automate balance sheet reconciliations in an Excel workbook?▼

The best way to automate balance sheet reconciliations in an Excel workbook is by enforcing strict structural conventions. This skill generates dedicated balance check tabs and uses named ranges to immediately flag structural inconsistencies.

Why do my Python-generated Excel models lack audit trails?▼

Your Python-generated Excel models lack audit trails because standard scripts do not enforce documentation. This skill solves this by applying cell-level documentation for every input and standardizing formatting to distinguish formulas from hardcoded values.

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