Browse all 243 finance AI skills for Claude

Dynamically links Income Statement, Balance Sheet, and Cash Flow statements from historical data to project future periods.

Ingests bank feeds and internal ledgers, using semantic matching to reconcile balances and flag transaction variances.

Extracts line-item data from unstructured invoices, maps them to GL codes, and flags duplicate or fraudulent billing.

Monitors multi-jurisdictional revenue streams and applies localized tax rules to calculate real-time deferred tax provisions.

Tracks asset registries, automatically calculates optimal depreciation schedules (MACRS, Straight-Line), and updates journals.

Identifies, matches, and automatically eliminates cross-entity transactions during global corporate consolidation.

Scans historical blockchain or ERP ledgers to build a verified cryptographic chain of custody for transactions.

Drafts disclosure notes and management discussion & analysis (MD&A) sections by synthesizing trial balances and operational data.

Analyzes customer contracts against delivery milestones to generate compliant revenue recognition schedules.

Cross-references third-party payroll processing outputs with internal HR logs and generates balanced ledger entries.

Extracts lease terms, options, and payments from unstructured real estate/equipment contracts to map right-of-use assets.

Monitors Days Sales Outstanding (DSO) and Days Payable Outstanding (DPO) to dynamically recommend optimal vendor payment timing.

Calculates inventory value under FIFO/LIFO/Weighted Average and isolates price vs. volume manufacturing variances.

Scans corporate card transactions and corporate travel bookings, auto-rejecting line items violating company expense policies.

Uses historical collection trends and macroeconomic indicators to dynamically adjust the Allowance for Doubtful Accounts.

Deconstructs corporate overhead and cross-allocates internal charges to yield real-time product/regional margin visibility.

Tracks spot exchange rates to execute multi-currency ledger remeasurements and isolate realized/unrealized FX gains & losses.

Aggregates morning bank balances across global entities to forecast daily liquidity needs and suggest sweep movements.

Ingests utility bills, logistics data, and supply chain invoices to calculate and map Scope 1, 2, and 3 carbon equivalents.

Compares actual monthly performance to budget targets and writes automated executive summaries detailing the underlying drivers.

Scans global e-commerce and B2B invoices to determine accurate localized VAT/GST tax rates and flags cross-border transactional mismatches.

Monitors accounts payable transactions in real time against updated sales tax parameters to prevent under/overpayment errors.

Analyzes 3-year historical tax income pools and macro forecasts to stress-test whether DTAs require structural valuation allowances.

Parses intercompany service agreements and matches markup margins against global transfer pricing databases (e.g. Amadeus).

Continuously cross-references user permission tokens with systemic general ledger change logs to flag segregation of duties (SoD) breaches.

Uses graph-network matching on vendor bank nodes and alphanumeric text variations to trap duplicate payments before run execution.

Ingests client short-payment notices and maps them to structural inventory delivery shortages or logistics bills of lading.

Monitors manual journal entries executed outside standard business hours or containing unusual rounded numeric frequencies.

Applies current vs historical exchange rate parameters to multi-entity foreign balance sheets during legal global consolidation.

Scans developer JIRA tickets and timesheets using semantic classification to isolate qualified wages for R&D credit capture.

Cross-references stale outstanding checks and uncashed vendor credits against regional state-by-state dormancy timeline parameters.

Audits project time card charging metrics against strict Federal Cost Accounting Standards (CAS) frameworks to prevent billing penalties.

Automates high-throughput item matching between operational inventory/billing subledgers and the master general ledger ledger framework.

Scans outgoing vendor additions or profile modifications against OFAC, PEP, and global corporate registry change databases.

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.

Scans historical technical, fundamental, and alternative datasets to identify persistently predictive price patterns.

Runs cointegration and mean-reversion analysis on historical asset prices to isolate statistically significant trading pairs.

Calculates daily VaR, Expected Shortfall (ES), and parametric tail risk profiles across multi-asset portfolios.

Computes real-time options Greeks (Delta, Gamma, Vega, Theta, Rho) and extracts implied volatility surfaces from options chains.

Monitors real-time Level 2 and Level 3 order book depth to predict micro-structural directional price movements.

Tracks Decentralized Exchange (DEX) liquidity pools and automated market makers (AMMs) to isolate cross-chain price gaps.

Ingests government bond prices to construct smooth, continuous zero-coupon yield curves and calculate term structure parameters.

Deconstructs multi-asset portfolio returns into exposures against equity, interest rate, credit, FX, and momentum risk factors.

Parses thousands of specialized earning transcripts, industry forums, and social channels to build predictive sentiment scores.

Simulates historical execution of moving average crossover or breakout trading rules, accounting for realistic slippage.

Analyzes historical post-trade execution data against VWAP/TWAP and implementation shortfall metrics to optimize routing.

Uses Gaussian or Student-t copulas to model credit default correlations and price multi-name synthetic credit structures.

Calculates Black-Litterman or Markowitz efficient frontiers, incorporating custom views to output optimal asset weights.

Calculates normalized z-scores for asset performance across asset classes to construct top-decile systematic momentum baskets.

Measures nanosecond-level execution deltas across geographical exchange points to adapt smart order router (SOR) trajectories.

Calculates backwardation/contango curves against physical shipping, storage, and insurance cost parameters.

Models a firm's equity as a call option on its assets to solve for distance-to-default and implied default probabilities.

Employs Hidden Markov Models (HMM) to classify real-time market states into high/low volatility or trending environments.

Models optimal bid-ask spread placements under Avellaneda-Stoikov frameworks to optimize market-making profit profiles.

Applies non-parallel yield curve twists and shifts to complex mortgage and sovereign bond portfolios to isolate tail impacts.

Calculates initial and variation margin requirements using SPAN models to optimize cross-margining across clearing houses.

Identifies structural violations of vertical/horizontal options spreads to execute delta-neutral options arbitrage.

Monitors Ethereum/Solana mempools to simulate frontrunning, sandwich, or liquidation strategies via flash loans.

Employs trinomial tree frameworks to model equity components, credit spreads, and embedded call/put features in convertible bonds.

Ingests raw satellite imagery embeddings and mobile location pings to forecast quarterly revenue numbers before earnings release.

Trains deep Q-networks (DQN) to split large parental block orders into optimal child routes minimizing market footprint.

Simulates continuous short-straddle and short-strangle options structures, employing dynamic VIX-based hedging rules.

Employs proprietary demographic and interest rate pathing vectors to predict Conditional Prepayment Rates (CPR) on agency MBS pools.

Constructs structural risk factor models isolating customized risk exposures like Value, Size, Momentum, Quality, and Growth.

Scans high-frequency order cancellation frequencies in real time to isolate illegal spoofing or layering behaviors on the book.

Employs Generative Adversarial Networks to synthesize non-linear financial crisis scenarios without relying on historical repetition.

Identifies structural pricing basis gaps between spot crypto assets and perpetual futures to capture funding rate spreads.

Applies Generalized Pareto Distributions to historical portfolio returns to model structural financial crisis tail impacts.

Simulates sudden, discontinuous multi-notch corporate credit downgrades to measure portfolio liquidation impacts.

Isolates mispricings between out-of-the-money puts and out-of-the-money calls to execute systematic skew and smile trades.

Deconstructs execution price decay curves from the arrival moment to evaluate the performance efficiency of trading desks.