creating-financial-models
- Repo stars 44,893
- Author updated Live
- Author repo claude-cookbooks
- Domain
- Engineering
- Compatible agents
-
- Claude Code
- Cursor
- Cline
- Codex
- Windsurf
- Gemini CLI
- +20
- Trust score
- 85 / 100 · community maintained
- Author / version / license
- @anthropics · no license declared
- Token usage
- Lean
- Setup complexity
- Plug-and-play
- External API key
- Not required
- Operating systems
- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
-
- Read-only
- Write / modify
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools，默认拥有全部工具权限。; 上游仓库已 190 天未更新，可能与最新 agent 行为不一致。
---
name: creating-financial-models
description: This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing…
category: engineering
runtime: no special runtime
---
# creating-financial-models output preview
## PART A: Task fit
- Use case: This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions A comprehensive financial modeling toolkit for investment analysis, valuation, and risk assessment using industry-standard methodologies. "Build a DCF model for this technology company usi….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Core Capabilities / 1. Discounted Cash Flow (DCF) Analysis / 2. Sensitivity Analysis” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions A comprehensive financial modeling toolkit for investment analysis, valuation, and risk assessment using industry-standard methodologies. "Build a DCF model for this technology company usi…”.
- **02** When the source has headings, the agent prioritizes “Core Capabilities / 1. Discounted Cash Flow (DCF) Analysis / 2. Sensitivity Analysis” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. Choose the trigger
The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Provide inputs and boundaries
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files.
Validate with a small run
Start with a small task and check whether the result follows “Core Capabilities / 1. Discounted Cash Flow (DCF) Analysis / 2. Sensitivity Analysis”. Inspect diffs, logs, previews, or tests before expanding scope.
Review before delivery
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: creating-financial-models
description: This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing…
category: engineering
source: anthropics/claude-cookbooks
---
# creating-financial-models
## When to use
- This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulatio…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Core Capabilities / 1. Discounted Cash Flow (DCF) Analysis / 2. Sensitivity Analysis” and keep inference separate from source facts.
- read files, write/modify files; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. Evidence boundary and execution chain
The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "creating-financial-models" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Core Capabilities / 1. Discounted Cash Flow (DCF) Analysis / 2. Sensitivity Analysis
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
}Financial Modeling Suite
A comprehensive financial modeling toolkit for investment analysis, valuation, and risk assessment using industry-standard methodologies.
Core Capabilities
1. Discounted Cash Flow (DCF) Analysis
- Build complete DCF models with multiple growth scenarios
- Calculate terminal values using perpetuity growth and exit multiple methods
- Determine weighted average cost of capital (WACC)
- Generate enterprise and equity valuations
2. Sensitivity Analysis
- Test key assumptions impact on valuation
- Create data tables for multiple variables
- Generate tornado charts for sensitivity ranking
- Identify critical value drivers
3. Monte Carlo Simulation
- Run thousands of scenarios with probability distributions
- Model uncertainty in key inputs
- Generate confidence intervals for valuations
- Calculate probability of achieving targets
4. Scenario Planning
- Build best/base/worst case scenarios
- Model different economic environments
- Test strategic alternatives
- Compare outcome probabilities
Input Requirements
For DCF Analysis
- Historical financial statements (3-5 years)
- Revenue growth assumptions
- Operating margin projections
- Capital expenditure forecasts
- Working capital requirements
- Terminal growth rate or exit multiple
- Discount rate components (risk-free rate, beta, market premium)
For Sensitivity Analysis
- Base case model
- Variable ranges to test
- Key metrics to track
For Monte Carlo Simulation
- Probability distributions for uncertain variables
- Correlation assumptions between variables
- Number of iterations (typically 1,000-10,000)
For Scenario Planning
- Scenario definitions and assumptions
- Probability weights for scenarios
- Key performance indicators to track
Output Formats
DCF Model Output
- Complete financial projections
- Free cash flow calculations
- Terminal value computation
- Enterprise and equity value summary
- Valuation multiples implied
- Excel workbook with full model
Sensitivity Analysis Output
- Sensitivity tables showing value ranges
- Tornado chart of key drivers
- Break-even analysis
- Charts showing relationships
Monte Carlo Output
- Probability distribution of valuations
- Confidence intervals (e.g., 90%, 95%)
- Statistical summary (mean, median, std dev)
- Risk metrics (VaR, probability of loss)
Scenario Planning Output
- Scenario comparison table
- Probability-weighted expected values
- Decision tree visualization
- Risk-return profiles
Model Types Supported
Corporate Valuation
- Mature companies with stable cash flows
- Growth companies with J-curve projections
- Turnaround situations
Project Finance
- Infrastructure projects
- Real estate developments
- Energy projects
M&A Analysis
- Acquisition valuations
- Synergy modeling
- Accretion/dilution analysis
LBO Models
- Leveraged buyout analysis
- Returns analysis (IRR, MOIC)
- Debt capacity assessment
Best Practices Applied
Modeling Standards
- Consistent formatting and structure
- Clear assumption documentation
- Separation of inputs, calculations, outputs
- Error checking and validation
- Version control and change tracking
Valuation Principles
- Use multiple valuation methods for triangulation
- Apply appropriate risk adjustments
- Consider market comparables
- Validate against trading multiples
- Document key assumptions clearly
Risk Management
- Identify and quantify key risks
- Use probability-weighted scenarios
- Stress test extreme cases
- Consider correlation effects
- Provide confidence intervals
Example Usage
"Build a DCF model for this technology company using the attached financials"
"Run a Monte Carlo simulation on this acquisition model with 5,000 iterations"
"Create sensitivity analysis showing impact of growth rate and WACC on valuation"
"Develop three scenarios for this expansion project with probability weights"
Scripts Included
dcf_model.py: Complete DCF valuation enginesensitivity_analysis.py: Sensitivity testing framework
Limitations and Disclaimers
- Models are only as good as their assumptions
- Past performance doesn't guarantee future results
- Market conditions can change rapidly
- Regulatory and tax changes may impact results
- Professional judgment required for interpretation
- Not a substitute for professional financial advice
Quality Checks
The model automatically performs:
- Balance sheet balancing checks
- Cash flow reconciliation
- Circular reference resolution
- Sensitivity bound checking
- Statistical validation of Monte Carlo results
Updates and Maintenance
- Models use latest financial theory and practices
- Regular updates for market parameter defaults
- Incorporation of regulatory changes
- Continuous improvement based on usage patterns
Decide Fit First
Design Intent
How To Use It
Boundaries And Review