finance/investment-banking/merger-model/SKILL.md
# Merger Model description: 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 model", "pro forma EPS", "merger consequences", or "deal impact analysis". ## Workflow ### Step 1: Gather Inputs **Acquirer:** - Company name, current
npx skillsauth add harsh040506/claude-code-unified-skill-plugin-library finance/investment-banking/merger-modelInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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description: 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 model", "pro forma EPS", "merger consequences", or "deal impact analysis".
Acquirer:
Target:
Deal Terms:
| Item | Value | |------|-------| | Offer price per share | | | Premium to current | | | Equity value | | | Plus: net debt assumed | | | Enterprise value | | | EV / EBITDA implied | | | P/E implied | |
| Sources | $ | Uses | $ | |---------|---|------|---| | New debt | | Equity purchase price | | | Cash on hand | | Refinance target debt | | | New equity issued | | Transaction fees | | | | | Financing fees | | | Total | | Total | |
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) % | | | |
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 | | | | | |
Calculate the minimum synergies needed for the deal to be EPS-neutral in Year 1.
testing
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
tools
Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.
testing
This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions. Use this skill when users ask to pitch a new research idea, work through a project problem, evaluate project risks, plan research strategy, navigate decision trees, or get help choosing what scientific problem to work on. Typical requests include "I have an idea for a project", "I'm stuck on my research", "help me evaluate this project", "what should I work on", or "I need strategic advice about my research".
development
Run nf-core bioinformatics pipelines (rnaseq, sarek, atacseq) on sequencing data. Use when analyzing RNA-seq, WGS/WES, or ATAC-seq data—either local FASTQs or public datasets from GEO/SRA. Triggers on nf-core, Nextflow, FASTQ analysis, variant calling, gene expression, differential expression, GEO reanalysis, GSE/GSM/SRR accessions, or samplesheet creation.