L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Documents · SKILL.md

excel-model-builder

excel-model-builder

Build financial models, trackers, and spreadsheets with formulas and formatting. TRIGGERS - Use this skill when: - User wants to create a spreadsheet, financial model, or Excel file - User mentions Excel, Google Sheets, financial projections, or budgets - User needs a tracker, calculator, or data template

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: excel-model-builder description: | Build financial models, trackers, and spreadsheets with formulas and formatting.

TRIGGERS - Use this skill when:

  • User wants to create a spreadsheet, financial model, or Excel file
  • User mentions Excel, Google Sheets, financial projections, or budgets
  • User needs a tracker, calculator, or data template

Excel Model Builder

Overview

Creates structured spreadsheets and financial models with formulas, formatting, and clear documentation. Outputs ready-to-use Excel files or Google Sheets templates.

Workflow

Step 1: Define the Model

Ask the user:

  1. Purpose: What decisions will this model inform?
  2. Type: Financial projection, budget, tracker, calculator, or dashboard?
  3. Inputs: What data will be entered?
  4. Outputs: What numbers/insights do you need?
  5. Time horizon: Monthly, quarterly, annual?
  6. Format: Excel (.xlsx) or Google Sheets formula format?

Step 2: Design the Structure

Standard model layout:

TabPurpose
DashboardSummary view with key metrics
AssumptionsAll inputs in one place (change here, model updates)
RevenueRevenue projections and breakdowns
CostsCost structure and projections
P&LProfit & Loss statement
Cash FlowCash flow projections (if needed)

Step 3: Build with Formulas

Rules for good models:

  1. Inputs highlighted (yellow cells = editable)
  2. No hardcoded numbers in formulas — reference the Assumptions tab
  3. Clear labels for every row and column
  4. Consistent formatting (currency, percentages, dates)
  5. Error handling with IFERROR()
  6. Named ranges for key assumptions

Step 4: Create the Spreadsheet

Use openpyxl (Python) to generate .xlsx files with:

  • Multiple tabs
  • Formulas (not just values)
  • Conditional formatting
  • Number formatting
  • Headers and borders
  • Print-ready layout

Output

Generate actual .xlsx file with:

  • All formulas intact
  • Formatting applied
  • Sample data that can be replaced
  • Instructions tab explaining how to use it

Quality Checklist

  • All inputs on one tab (Assumptions)
  • No hardcoded numbers in formulas
  • Yellow highlighting on editable cells
  • Dashboard shows key metrics at a glance
  • Formulas use cell references (not typed values)
  • Error handling on division formulas
  • Instructions included
Skills enregistrées