Generate auditable Excel financial models with openpyxl conventions.
npx skills add https://github.com/Signmanal/VIGIL --skill excel-author-signmanal
Please help me install this Agent Skill. Skill: excel-author Source: https://github.com/Signmanal/VIGIL/tree/main/optional-skills/finance/excel-author Command: npx skills add https://github.com/Signmanal/VIGIL --skill excel-author-signmanal
This Skill eliminates the risk of creating inconsistent, non-auditable Excel financial models that lack traceability for review, have fragile hardcoded values that break when assumptions change, and fail to meet finance team audit standards.
Use the excel-author skill to build an auditable DCF financial model with WACC sensitivity tables and balance checks, saved to the ./out directory for your team's review.
High-intent search queries and answers about installing and using this skill.
Build an auditable Excel financial model by enforcing standardized modeling conventions via openpyxl, applying formula-over-hardcode rules, blue/black/green cell color conventions, named ranges, and balance check tabs for full audit compliance.
Best practices for color coding in financial modeling involve using blue for hardcoded inputs, black for live formulas, and green for cross-sheet or external links, allowing reviewers to instantly trace calculation origins and audit assumptions.
Generate a DCF model with sensitivity tables by enforcing structured, headless Excel workbook creation that includes automated sensitivity table construction, balance checks, and properly sourced assumptions to reduce manual formula errors.
Yes, you can use openpyxl to create a 3-statement model with balance checks by programmatically enforcing formula-only calculation cells, cross-sheet named ranges, and dedicated balance check tabs to ensure audit readiness.
Excel reconciliation models fail audit reviews due to fragile hardcoded values, lack of traceability, and missing source comments on inputs, which can be resolved by enforcing formula-over-hardcode rules and mandatory standardized conventions.
openpyxl supports enforcing named ranges and formula conventions for LBO models by programmatically applying standardized modeling rules, ensuring all calculation cells use live formulas instead of static values for formal review compliance.
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