Use it when your goal in payments and business operations is clear and you can limit it to the data and actions it actually needs.
Merger Model
Build M&A accretion/dilution workbooks in Excel
What does it add to Hermes?
Build M&A accretion/dilution workbooks in Excel
Merger Model is a skill related to payments and business operations. It handles financial or commercial data and actions; any write operation needs stronger approval and limits than ordinary use.
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Do not add it merely to experiment when Hermes already has a simpler path, or when you cannot review its source and permissions.
Best for users who want a repeatable way of working inside Hermes.
Use a sandbox or test data and do not grant real payment or refund permissions in the first test.
Build M&A accretion/dilution workbooks in Excel
This entry was indexed from Hermes Optional Skills. Our explanation interprets the type and domain without inventing a capability not present upstream.
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Inspect, install, then test.
- 01Open the source
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- 02Review permissions and secrets
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- 03Copy setup only after review
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- 04Test with a non-sensitive task
Inspect the visible tools, then exclude write or delete tools you do not need.
Review the command, then copy it.
hermes skills install merger-modelHermes Belarabi does not execute this command. Installation happens on your device and remains subject to Hermes scanning and your review.
Exactly what Hermes loads when this skill runs.
Reproduced from the official documentation. Read it before enabling the skill: this text becomes the agent's instructions.
Build M&A accretion/dilution workbooks in Excel.
Skill metadata
A lookup table. Do not read it all; find the row that applies to you.
| Source | Optional — install with hermes skills install official/finance/merger-model |
| Path | optional-skills/finance/merger-model |
| Version | 1.0.0 |
| Author | Anthropic (adapted by Nous Research) |
| License | Apache-2.0 |
| Platforms | linux, macos, windows |
| Tags | finance, m-and-a, merger, accretion-dilution, excel, openpyxl, modeling, investment-banking |
| Related skills | excel-author, pptx-author, dcf-model, 3-statement-model |
Reference: full SKILL.md
Explains the idea itself. Read it slowly; the later sections build on it.
Environment
Explains the idea itself. Read it slowly; the later sections build on it.
This skill assumes headless openpyxl — you are producing an .xlsx file on disk.
Follow the excel-author skill's conventions for cell coloring, formulas, named ranges, and sensitivity tables.
Recalculate before delivery: python /path/to/excel-author/scripts/recalc.py ./out/model.xlsx.
Build accretion/dilution analysis for M&A transactions. Models pro forma EPS impact, synergy sensitivities, and purchase price allocation. Use when evaluating a potential acquisition, preparing merger consequences analysis for a pitch, or advising on deal terms.
Workflow
A lookup table. Do not read it all; find the row that applies to you.
Step 1: Gather Inputs
Acquirer:
- Company name, current share price, shares outstanding
- LTM and NTM EPS (GAAP and adjusted)
- P/E multiple
- Pre-tax cost of debt, tax rate
- Cash on balance sheet, existing debt
Target:
- Company name, current share price, shares outstanding (if public)
- LTM and NTM EPS or net income
- Enterprise value or equity value
Deal Terms:
- Offer price per share (or premium to current)
- Consideration mix: % cash vs. % stock
- New debt raised to fund cash portion
- Expected synergies (revenue and cost) and phase-in timeline
- Transaction fees and financing costs
- Expected close date
Step 2: Purchase Price Analysis
| Item | Value |
|---|---|
| Offer price per share | |
| Premium to current | |
| Equity value | |
| Plus: net debt assumed | |
| Enterprise value | |
| EV / EBITDA implied | |
| P/E implied |
Step 3: Sources & Uses
| Sources | $ | Uses | $ |
|---|---|---|---|
| New debt | Equity purchase price | ||
| Cash on hand | Refinance target debt | ||
| New equity issued | Transaction fees | ||
| Financing fees | |||
| Total | Total |
Step 4: Pro Forma EPS (Accretion / Dilution)
Calculate year-by-year (Year 1-3):
| Standalone | Pro Forma | Accretion/(Dilution) | |
|---|---|---|---|
| Acquirer net income | |||
| Target net income | |||
| Synergies (after tax) | |||
| Foregone interest on cash (after tax) | |||
| New debt interest (after tax) | |||
| Intangible amortization (after tax) | |||
| Pro forma net income | |||
| Pro forma shares | |||
| Pro forma EPS | |||
| Accretion / (Dilution) % |
Step 5: Sensitivity Analysis
Accretion/Dilution vs. Synergies and Offer Premium:
| $0M syn | $25M syn | $50M syn | $75M syn | $100M syn | |
|---|---|---|---|---|---|
| 15% premium | |||||
| 20% premium | |||||
| 25% premium | |||||
| 30% premium |
Accretion/Dilution vs. Cash/Stock Mix:
| 100% cash | 75/25 | 50/50 | 25/75 | 100% stock | |
|---|---|---|---|---|---|
| Year 1 | |||||
| Year 2 |
Step 6: Breakeven Synergies
Calculate the minimum synergies needed for the deal to be EPS-neutral in Year 1.
Step 7: Output
- Excel workbook with:
- Assumptions tab
- Sources & uses
- Pro forma income statement
- Accretion/dilution summary
- Sensitivity tables
- Breakeven analysis
- One-page merger consequences summary for pitch book
Important Notes
Explains the idea itself. Read it slowly; the later sections build on it.
- Always show both GAAP and adjusted (cash) EPS where relevant
- Stock deals: use acquirer's current price for exchange ratio, note dilution from new shares
- Include purchase price allocation — goodwill and intangible amortization matter for GAAP EPS
- Synergy phase-in is critical — Year 1 is often only 25-50% of run-rate synergies
- Don't forget foregone interest income on cash used and new interest expense on debt raised
- Tax rate on synergies and interest adjustments should match the acquirer's marginal rate
Data sources — MCP first, web fallback
Explains the idea itself. Read it slowly; the later sections build on it.
Many passages below say "use the S&P Kensho MCP / Daloopa MCP / FactSet MCP". Those are commercial financial-data MCPs from the original Cowork plugin context. In Hermes:
- If you have any structured financial-data MCP configured (Hermes supports MCP — see
native-mcpskill), prefer it for point-in-time comps, precedent transactions, and filings. - Otherwise, fall back to:
web_search/web_extractagainst SEC EDGAR (https://www.sec.gov/cgi-bin/browse-edgar) for US filings- Company IR pages for press releases, earnings decks
browser_navigatefor interactive data portals- User-provided data (explicitly ask when the context doesn't have it)
- Never fabricate. If a multiple, precedent, or filing number can't be sourced, flag the cell as
[UNSOURCED]and surface it to the user.
Attribution
Explains the idea itself. Read it slowly; the later sections build on it.
This skill is adapted from Anthropic's Claude for Financial Services plugin suite (Apache-2.0). The Office-JS / Cowork live-Excel paths have been removed; this version targets headless openpyxl via the excel-author skill's conventions. Original: https://github.com/anthropics/financial-services