Excel Headless Author

    by Edric Vale

    1

    Generate auditable Excel workbooks from Python without Excel installed, using openpyxl. Use when a financial model, budget planner, or reconciliation sheet must

    Free

    0 installsSecurity scanned

    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Create a three-year revenue forecast workbook. Use a 5% growth rate input on a separate sheet and ensure all totals are live formulas. Save it to the ./out folder.

    Your agent does

    I have created 'forecast.xlsx' in ./out. It includes an 'Inputs' sheet with the 5% growth rate (marked in blue) and a 'Forecast' sheet where all revenue projections use live formulas referencing the input cell. A 'Checks' tab confirms the balance sheet ties out.

    About this skill

    The problem

    Generating spreadsheets often results in static CSVs or "dead" Excel files where formulas are pre-computed. This makes auditing impossible and requires users to manually reconstruct the logic when assumptions change.

    What it does

    • Generates .xlsx files with live Excel formulas instead of static Python-calculated values.
    • Automatically styles inputs with blue fonts and source comments for instant visual auditing.
    • Creates dedicated validation tabs to test invariants and ensure the model ties out.
    • Orchestrates headless recalculation using LibreOffice to bake in cached values for immediate viewing.

    Frameworks & tools

    Python, openpyxl, and LibreOffice for headless recalculation.

    Why this beats prompting it yourself

    Standard LLM code generation often mixes hardcoded numbers into calculated cells or forgets to handle cross-sheet references via defined names. This skill enforces a professional financial modeling standard, ensuring every assumption is tracked and every calculation is live.

    Use cases

    • Building dynamic financial models for budget forecasting and cost breakdowns.
    • Automating monthly reconciliation sheets that require formula-level transparency.
    • Generating sensitivity grids for WACC and growth rate analysis.
    • Producing auditable reports where inputs must be clearly separated from logic.

    Known limitations

    Requires openpyxl and LibreOffice installed on the environment for full recalculation support. Not suitable for chart-heavy dashboards or live Office sessions.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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