Browse all 243 finance AI skills for Claude

Builds fully dynamic Discounted Cash Flow models, deriving Beta, WACC, and terminal value multiples straight from market comps.

Generates multi-tranche leveraged buyout capital structures and calculates internal rates of return (IRR) across debt schedules.

Combines financial profiles of buyer and target to output purchase price allocation, synergy modeling, and EPS impacts.

Simulates equity dilution, option pool expansions, and liquidation preference payout distribution across complex funding rounds.

Monitors borrower debt-to-equity ratios and DSCR covenants, auto-generating compliance risk profiles for commercial loans.

Scans public equities to instantly generate trading comps tables containing adjusted EV/EBITDA, P/E, and Price/Sales multiples.

Projects short-term asset and liability gaps to optimize drawing cycles on revolving asset-based lines of credit.

Evaluates structural cash retention requirements and debt covenants to simulate optimal capital return distributions.

Parses startup pitch decks and matches operational metrics against a corporate venture team's strategic investment mandates.

Generates specialized long-horizon financing models accounting for tax equity, production tax credits, and PPA pricing curves.

Calculates preferred returns, equity hurdles, and promote structures between general partners (GP) and limited partners (LP).

Extracts rent rolls, operating expenses, and local vacancy rates to instantly output Pro Forma Net Operating Income (NOI) models.

Validates CAC-to-LTV ratios, payback periods, and cohort retention decay curves by extracting direct transaction-level logs.

Synthesizes macroeconomic indicators, fiscal deficit targets, and geopolitical news to score country-specific default risk.

Deconstructs collateralized loan obligations (CLOs) or mortgage-backed securities (MBS) into constituent principal and interest tranches.

Applies customized inflation, interest rate, and GDP growth shocks directly to an enterprise's 5-year business plan.

Compares incoming enterprise vendor proposals against historical procurement benchmarks and competitor contract structures.

Continuously monitors total leverage ratios, interest coverage, and net worth requirements across corporate credit lines.

Extracts raw product usage data and correlates it to cloud billing structures to generate dynamic, real-time gross margin outlooks.

Evaluates inventory freight transit lags against financing rates to optimize letter of credit usage and supplier early payment terms.

Scans institutional money market funds, short-term commercial paper, and yield curves to match cash reserves to custom duration parameters.

Models cost of goods sold (COGS) variations by adjusting tariff percentages across different international manufacturing facility options.

Scans institutional proxy voting patterns and public short-selling reports to build risk models for potential activist campaigns.

Coordinates institutional lending order books during primary credit issuances, checking concentration parameters and credit bounds.

Models lifetime maintenance curves, tax deductions, and depreciation schedules to determine optimal asset procurement strategies.

Calculates duration gaps between pension asset returns and future corporate retiree payout curves using actuarial data.

Models multiple operational burn-rate vectors against cash positions to optimize venture debt drawdown schedules.

Runs constrained optimization models to allocate corporate capex across competing internal business units for maximized ROI.

Models historical corporate claim distributions to determine optimized self-insured retention levels and premium allocations.

Ingests local foot-traffic data and point-of-sale metrics to isolate underperforming retail locations for lease termination.

Build a complete DCF valuation from scratch: project revenue and FCF, calculate WACC, determine terminal value, and produce an enterprise value with sensitivity table.

Audit a three-statement financial model for linkage errors, circular references, balance sheet integrity, and common modeling mistakes before it goes to clients.

Build a back-of-envelope LBO model in minutes: sources and uses, debt schedule, returns analysis, IRR and MOIC — for deal screening and IC prep.

Build a comparable company (comps) analysis: select the right peer group, pull key trading multiples, benchmark your company, and derive a valuation range.

Calculate WACC step-by-step: CAPM cost of equity, cost of debt, beta estimation, capital structure weighting — with sanity checks against industry benchmarks.

Draft a complete bank credit memorandum: business overview, financial analysis, credit structure, risk assessment, and lending recommendation — ready for credit committee.

Convert a CIM or deal summary into a structured Investment Committee memo: thesis, market, management, financial analysis, risks, and recommended terms — in hours, not days.

Generate a structured M&A pitchbook or sell-side process letter first draft: company overview, market positioning, transaction rationale, valuation summary, and process timeline.

Build an accretion/dilution model: input acquirer and target financials, deal structure (cash/stock/mix), synergies, purchase price adjustments, and output pro forma EPS impact.

Analyze how much debt a company can support, model credit metrics at different leverage levels, and track covenant headroom across leverage, coverage, and liquidity tests.

Model a company cap table through a liquidation or exit waterfall — preferred terms, liquidation preferences, anti-dilution, option pool — and compute proceeds to each share class.

Parse a data room index, map items to a standard financial due diligence checklist, flag open items, and summarize key findings by workstream for M&A, PE, or lending transactions.

Quantify and model post-merger synergies: cost saves (headcount, G&A overlap, procurement), revenue synergies (cross-sell, pricing), integration costs, and phased NPV of the synergy case.