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Creates a structured assumption register for any Excel model with columns for name, category, base value, source, Bull/Bear values, sensitivity rank, and owner, plus a formula for computing sensitivit…

Turns pasted or exported data with mixed formats, blank rows, or duplicates into a clean, consistently formatted range ready for analysis. Use it right after pasting raw data into a worksheet.

Provides a systematic audit checklist for Excel model formula logic, hardcoded values, circular references, and error handling, with step-by-step instructions for using Excel's native auditing tools.

Enforces the three-tab separation principle for any Excel model, producing a full design for a dedicated Inputs tab, one or more Calculations tabs, and a clean Outputs tab with a conventions checklist…

Defines the master tab structure, naming conventions, color codes, number formats, and print area setup for any new strategy or finance Excel model, serving as the structural template before any conte…

Designs the executive summary tab of an Excel model with KPI tiles, a narrative block, a sensitivity summary, and an assumption log, formatted for print or screenshot use in a board pack.

Specifies and builds a pivot table from a flat data range, choosing rows, columns, values, and filters. Use it when you have raw tabular data and need a summary view without building it cell by cell.

Builds a driver-based revenue forecast .xlsx with live formulas across separate drivers, build, and output tabs plus checks, rolling a customer or units schedule (beginning, adds, churn, ending) into…

Builds a Base/Bull/Bear scenario switching layer for a model in a .xlsx with a live selector, CHOOSE or INDEX assumption links, a side-by-side output comparison, and a recalc check, then delivers the…

Builds one- and two-variable sensitivity (Data Table) analysis on a model output in a .xlsx with live formulas and a recalc check, then delivers the workbook.

Ranks variable sensitivities to a key output and builds a tornado chart by swinging each input over a defined range, computing output impact, and producing a horizontal bar chart data structure.

Builds a unit-economics and cohort .xlsx with live formulas across separate assumptions, cohort, and output tabs plus checks, computing CAC, LTV, LTV/CAC, and CAC payback from a monthly cohort retenti…

Activate for ANY pitch deck analysis, feedback, or review request. Triggers include: "analyze this deck", "review my pitch deck", "critique my pitch", "feedback on my slides", "is my deck investor rea…

Model cap table dilution, SAFE conversion, and exit waterfall across scenarios. Triggered by: "/venture-capital-intelligence:cap-table-waterfall", "model my cap table", "simulate dilution", "SAFE conv…

Scan a company or sector for deal-sourcing signals across 6 dimensions. Triggered by: "/venture-capital-intelligence:deal-sourcing-signals", "scan signals for X", "what signals is X showing", "deal so…

Activate for ANY equity, legal, or term sheet question related to startup investing or fundraising.

Run deterministic financial models for startup valuation and SaaS health analysis.

Compute fund KPIs (TVPI, DPI, IRR, MOIC), model carried interest and management fees, and generate LP quarterly update narratives.

Deterministic Python-scored startup screening with full audit trail. Use when you need a reproducible, weighted-score verdict on a startup — not just a qualitative opinion.

Run TAM/SAM/SOM market sizing with top-down and bottom-up methods, competitive landscape, and tech stack analysis.

Activate for ANY startup evaluation, investment screening, or company assessment. Triggers include: "evaluate this startup", "screen this company", "should I invest in X", "is this a good investment",…