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Corp Finance Tools - Core

Perform corporate finance calculations and diagnostics with structured JSON outputs.

7|1|Updated Feb 9, 2026
Search Tags:#valuation#dcf#monte-carlo#wacc#lbo#credit-analysis#fund-fees
One-click install
npx skills add https://github.com/fall-development-rob/corp_finance --skill corp-finance-tools-core
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Corp Finance Tools - Core
Source: https://github.com/fall-development-rob/corp_finance/tree/main/.claude/skills/corp-finance-tools-core
Command: npx skills add https://github.com/fall-development-rob/corp_finance --skill corp-finance-tools-core

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill centralizes and automates complex corporate finance calculations and diagnostics so analysts can produce reliable valuations, credit assessments, PE/M&A models, fund economics, and forensic signals without manual spreadsheet surgery.

Core Features & Use Cases

  • Comprehensive Valuation & Modelling: DCF, WACC, comps, multi-stage DDM, LBO and merger accretion/dilution with sensitivity analysis.
  • Credit, Forensics & Fund Economics: Altman/Z-scores, covenant compliance, debt scheduling, waterfall distributions, fund fee modelling, GAAP/IFRS reconciliation, and withholding tax computations.
  • Analytics & Simulation: Portfolio risk metrics (VaR/CVaR), Kelly sizing, Monte Carlo DCF, earnings quality (Beneish, Piotroski), Benford's Law tests, and peer benchmarking.
  • Enterprise-ready outputs: All tools return structured JSON with result, methodology, assumptions, warnings, and metadata using 128-bit decimal precision and clear error classifications.

Quick Start

Use the Corp Finance Tools - Core to run a DCF valuation using base revenue, growth rates, EBITDA margin, and WACC and return the structured JSON result including assumptions and warnings.

Frequently Asked Questions about Corp Finance Tools - Core

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run a DCF valuation without manual spreadsheet modeling?▼

Perform LBO and merger accretion/dilution modeling by supplying target financials and deal assumptions. The tool outputs structured JSON with sensitivity analysis, waterfall distributions, and covenant compliance warnings.

What is Monte Carlo DCF simulation and can it handle portfolio risk metrics?▼

Monte Carlo DCF simulation models probabilistic valuation outcomes, while portfolio analytics compute VaR, CVaR, and Kelly sizing. Both return structured JSON with robust error classes for convergence failures.

Does this tool support earnings quality scoring and financial forensics?▼

Yes, it supports earnings quality scoring and forensics by applying Beneish, Piotroski, and Benford's Law tests. It outputs structured JSON results with methodology and warnings for diagnostic transparency.

How do I calculate WACC and perform credit analysis for private entities?▼

Calculate WACC and perform credit analysis using Altman/Z-scores, debt scheduling, and covenant testing. The tool handles public and private entities, returning structured JSON with assumptions and metadata.

Can I model fund fees and NAV analysis with GAAP and IFRS reconciliation?▼

Model fund fees and NAV analysis while performing GAAP/IFRS reconciliation and withholding tax computations. Outputs include structured JSON containing results, methodology, and robust error classifications for insufficient data.

What happens when financial inputs trigger convergence failures or invalid data?▼

Invalid inputs trigger robust error classes for InvalidInput, FinancialImpossibility, ConvergenceFailure, and InsufficientData. The tool proactively flags these issues in the structured JSON output alongside warnings and metadata.

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