Financial Analysis Plugin
What is Financial Analysis?
Financial analysis is the practice of evaluating businesses, projects, and investments to make informed decisions about their value and performance. It is the foundation of virtually every role in finance — investment bankers use it to advise on deals, equity researchers use it to recommend stocks, private equity professionals use it to evaluate acquisitions, and corporate finance teams use it to plan strategy. At its core, financial analysis answers a simple question: “What is this business worth, and why?” But answering that question rigorously requires multiple disciplines:- Valuation — Determining what a company is worth using methods like discounted cash flow (DCF) analysis, comparable company analysis (comps), and leveraged buyout (LBO) modeling.
- Financial modeling — Building integrated spreadsheets that project a company’s financial statements (income statement, balance sheet, cash flow statement) into the future.
- Competitive intelligence — Understanding a company’s market position, competitors, and strategic dynamics.
- Quality assurance — Ensuring that models are accurate, presentations are consistent, and data is clean.
Version: 0.1.0 | Author: Anthropic FSI | Type: Core (required)
How the Pieces Fit Together
Here is how the skills and commands in this plugin relate to each other in a typical workflow:What Each Discipline Involves
Valuation Modeling
What: Determine what a company is worth using DCF, comps, and LBO analysis.
Who uses it: Investment bankers, equity researchers, PE professionals, corporate development teams.
Key outputs: DCF models, comps sheets, LBO models — all as Excel workbooks.
Financial Statement Modeling
What: Build integrated 3-statement models that project the income statement, balance sheet, and cash flow statement.
Who uses it: Analysts and associates across all financial disciplines.
Key outputs: Populated model templates with proper formula linkages and scenario analysis.
Competitive Intelligence
What: Analyze a company’s competitive position — market dynamics, competitor profiles, moats, and vulnerabilities.
Who uses it: Investment banking deal teams, equity researchers, PE due diligence teams.
Key outputs: Competitive landscape presentations with market sizing, positioning visualizations, and strategic synthesis.
Quality Assurance
What: Check presentations for data consistency and models for formula errors.
Who uses it: Everyone — but especially junior analysts whose work gets reviewed by senior bankers.
Key outputs: QC reports identifying critical issues, warnings, and formatting suggestions.
Commands
Slash commands you invoke explicitly. Each command loads the appropriate skill(s) and guides Claude through a structured workflow.| Command | What You Will Learn | Argument |
|---|---|---|
/dcf | How to value a company using discounted cash flows | [company name or ticker] |
/comps | How to compare a company to its peers using trading multiples | [company name or ticker] |
/lbo | How private equity firms evaluate leveraged buyouts | [company name or deal details] |
/3-statement-model | How to build integrated financial statement models | [path to template file] |
/competitive-analysis | How to analyze competitive dynamics and market positioning | [company or industry] |
/check-deck | How to QC a presentation for errors before client delivery | [path to .pptx file] |
/debug-model | How to audit a financial model for formula errors and logic issues | [path to .xlsx model file] |
/ppt-template | How to create reusable branded presentation templates | [path to .pptx or .potx file] |
Skills
Skills encode domain expertise and best practices. Claude draws on them automatically when relevant — you do not always need to invoke a slash command. Each skill page includes a Finance 101 explanation of the underlying concept.| Skill | What You Will Learn |
|---|---|
dcf-model | Time value of money, free cash flow, WACC, terminal value, sensitivity analysis |
comps-analysis | Peer selection, valuation multiples (EV/EBITDA, P/E), statistical benchmarking |
lbo-model | Leveraged buyouts, debt structures, IRR/MOIC, cash sweep mechanics |
3-statement-model | The three financial statements, how they link together, and how to model them |
competitive-analysis | Porter’s Five Forces, moat analysis, market mapping, strategic positioning |
ib-check-deck | Presentation QC standards, number consistency, data-narrative alignment |
deck-refresh | Updating presentations with new data while preserving formatting |
audit-xls | Excel auditing — finding formula errors, hardcodes, and broken references |
clean-data-xls | Data cleaning for financial models — whitespace, dates, duplicates, mixed types |
ppt-template-creator | Creating branded presentation templates as reusable skills |
MCP Data Connectors
The financial-analysis plugin centralizes all data source connections, which are shared across every add-on plugin. See the MCP Integrations page for detailed configuration instructions.| Provider | Data Coverage |
|---|---|
| Daloopa | Standardized financial data, earnings models |
| Morningstar | Fund data, equity research, ratings |
| S&P Global | Capital IQ data, credit ratings, market intelligence |
| FactSet | Financial data, analytics, consensus estimates |
| Moody’s | Credit ratings, risk assessment |
| MT Newswires | Real-time financial news |
| Aiera | Earnings call transcripts, event intelligence |
| LSEG | Market data, fixed income, FX analytics |
| PitchBook | Private market data, VC/PE transactions |
| Chronograph | Private equity portfolio monitoring |
| Egnyte | Document management, file storage |
Getting Started with This Plugin
- Claude Cowork
- Claude Code
Install from claude.com/plugins — search for financial-analysis.