excel-author

Name: excel-author
Availability: InStock
Author: Nitish

Create Excel workbooks with openpyxl using color coding, formulas, named ranges, and balance checks.

Updated Jun 26, 2026

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

Ready to run

npx skills add https://github.com/NITISH-gitbit/hermes-custom --skill excel-author-nitish-gitbit

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: excel-author
Source: https://github.com/NITISH-gitbit/hermes-custom/tree/main/optional-skills/finance/excel-author
Command: npx skills add https://github.com/NITISH-gitbit/hermes-custom --skill excel-author-nitish-gitbit

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the creation of Excel workbooks using best practices for auditability, flexibility, and reviewability, saving time and reducing errors in financial modeling.

Core Features & Use Cases

Headless Workbook Creation: Build Excel workbooks without the need for manual intervention.
Blue/Black/Green Conventions: Implement color-coding conventions for inputs, formulas, and links.
Formulas Over Hardcodes: Ensure all calculations are done within Excel formulas.
Named Ranges: Use named ranges for cross-sheet references.
Balance Checks: Include a 'Checks' tab for balance sheet and cash flow validations.
Sensitivity Tables: Build sensitivity tables for scenario analysis.
Use Case: Ideal for financial models, audit outputs, reconciliations, and other spreadsheet-based analysis.

Quick Start

Create an Excel workbook using the excel-author skill with the following command: excel-author create --name model --input market_data.yaml

Frequently Asked Questions about excel-author

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

FAQPage Schema

How do I automate Excel workbook creation with openpyxl for financial modeling?▼

You can automate Excel workbook creation with openpyxl by using this Skill to generate spreadsheets headlessly, applying color-coded conventions, named ranges, and formulas without manual intervention.

What are the best practices for building auditable Excel spreadsheets in Python?▼

Auditable Excel spreadsheets in Python should implement blue, black, and green color-coding for inputs, formulas, and links, use named ranges for cross-sheet references, and include balance checks on a dedicated validation tab.

Can I add balance checks and sensitivity tables to an Excel workbook using openpyxl?▼

Yes, this Skill uses openpyxl to programmatically add a 'Checks' tab for balance sheet and cash flow validations, and builds sensitivity tables to support scenario analysis directly within the generated workbook.

Does this openpyxl Excel automation tool require manual formatting after generation?▼

No manual formatting is required because the Skill enforces formulas over hardcodes and automatically applies financial modeling color conventions during the headless workbook generation process.

How do I generate an Excel financial model from a YAML input file?▼

You generate an Excel financial model from a YAML input file by running the Skill's command with your specified model name and input file path, which processes the data to output a fully structured workbook.

Why use openpyxl instead of manual Excel for audit and reconciliation workflows?▼

Using openpyxl automates audit and reconciliation workflows by eliminating manual spreadsheet construction errors, ensuring consistent formatting, and embedding balance checks that validate financial data integrity.