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merger-model Skill

AI Agent SkillPythonOpen source

Build accretion/dilution (merger) models in Excel — pro-forma P&L, synergies, financing mix, EPS impact. Pairs with excel-author. Use for M&A pitches, board materials, or deal evaluation. Published by NousResearch in hermes-agent.

What is merger-model Skill?

Build accretion/dilution (merger) models in Excel — pro-forma P&L, synergies, financing mix, EPS impact. Pairs with excel-author. Use for M&A pitches, board materials, or deal evaluation. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use merger-model Skill

  • Use it for data analysis.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: NousResearch
  • Repository: NousResearch/hermes-agent
  • Skill file: optional-skills/finance/merger-model/SKILL.md

What it does

Build accretion/dilution (merger) models in Excel — pro-forma P&L, synergies, financing mix, EPS impact. Pairs with excel-author. Use for M&A pitches, board materials, or deal evaluation.

Skill instructions

Environment 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. Merger Model 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 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) -

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Frequently asked questions

What is merger-model?

merger-model is a open-source AI agent skill with Copy skill directory. Build accretion/dilution (merger) models in Excel — pro-forma P&L, synergies, financing mix, EPS impact. Pairs with excel-author. Use for M&A pitches, board materials, or deal evaluation.

Who is merger-model best for?

merger-model is best for reusing agent instructions, scripts, and references, data analysis workflows.

How do I install merger-model?

Install or run merger-model using Copy skill directory. Check merger-model for the latest setup command.

Is merger-model actively maintained?

merger-model may need a closer maintenance check before production use.

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214,436
Forks
39,858
Last commit
9 days ago
Repository age
1 year
License
MIT

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