excel-author

Create auditable Excel workbooks with openpyxl using named ranges and balance checks.

11|Updated May 6, 2026
One-click install
npx skills add https://github.com/open-neko/openneko --skill excel-author-open-neko
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: excel-author
Source: https://github.com/open-neko/openneko/tree/main/packages/llm/assets/builtin-skills/excel-author
Command: npx skills add https://github.com/open-neko/openneko --skill excel-author-open-neko

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill eliminates the risk of error-prone, unauditable Excel workbooks for financial analysis, where hardcoded values, missing sourcing, and inconsistent formatting make models difficult to review, adjust, or trust for critical business decisions.

Core Features & Use Cases

  • Standardized financial modeling conventions: Enforces blue/black/green cell color coding to clearly distinguish hardcoded inputs, live formulas, and cross-sheet links for instant readability.
  • Built-in audit guardrails: Requires named ranges for cross-references, mandatory balance check tabs, and sourced cell comments for all hardcoded inputs to ensure full traceability and compliance with review standards.
  • Use Case: Ideal for building DCF models, 3-statement models, LBO analyses, reconciliations, and audit outputs where accuracy, flexibility to adjust assumptions, and stakeholder reviewability are non-negotiable.

Quick Start

Use the excel-author skill to build a DCF model with auditable formulas, named ranges, and a balance check tab, saved to the ./out directory for immediate use.

Frequently Asked Questions about excel-author

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

FAQPage Schema
How do I build an auditable Excel financial model with openpyxl?

To build an auditable Excel financial model with openpyxl, this automation enforces standardized conventions like blue/black/green cell color coding, named ranges for cross-sheet references, and sourced cell comments for all hardcoded inputs. This ensures full traceability for stakeholder review.

What is the best way to prevent hardcoded values in DCF valuations and LBO analyses?

The best way to prevent hardcoded values in DCF valuations and LBO analyses is to enforce mandatory balance check tabs and require sourced cell comments for all hardcoded inputs. This eliminates inconsistent formatting and ensures calculation accuracy for critical business decisions.

Can I automatically generate a 3-statement model with balance check tabs in Excel?

Yes, you can automatically generate a 3-statement model with balance check tabs in Excel. The process applies built-in audit guardrails that require named ranges for cross-references and mandatory balance checks, ensuring calculation accuracy and compliance with review standards.

Why does my financial modeling spreadsheet fail audit reviews?

Your financial modeling spreadsheet fails audit reviews because of hardcoded values, missing sourcing, and inconsistent formatting. Applying standardized conventions like color-coded inputs, named ranges, and sourced cell comments eliminates these errors and makes models reviewable.

Do I need openpyxl to create formula-driven Excel workbooks for reconciliation?

Yes, you need openpyxl to create formula-driven Excel workbooks for reconciliation tasks. It automates the application of standardized financial modeling conventions, ensuring that live formulas and cross-sheet links are clearly distinguished from hardcoded inputs.

When do I need standardized color coding in spreadsheet financial analysis?

You need standardized color coding in spreadsheet financial analysis when building models for stakeholder review. Enforcing blue/black/green cell color coding clearly distinguishes hardcoded inputs, live formulas, and cross-sheet links, providing instant readability and reducing model errors.