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merger-model Skill

AI Agent SkillPythonOpen source

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. Triggers on "merger model", "accretion dilution", "M&A mo Published by anthropics in financial-services.

What is merger-model Skill?

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. Triggers on "merger model", "accretion dilution", "M&A mo Published by anthropics in financial-services. 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: anthropics
  • Repository: anthropics/financial-services
  • Skill file: plugins/vertical-plugins/investment-banking/skills/merger-model/SKILL.md

What it does

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. Triggers on "merger model", "accretion dilution", "M&A mo

Skill instructions

Merger Model 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) - 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 o

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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 analysis for M&A transactions. Models pro forma EPS impact, synergy sensitivities, and purchase price allocation.

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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Stars
33,477
Forks
4,938
Last commit
26 days ago
Repository age
5 months
License
Apache-2.0

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