finance/private-equity/returns-analysis/SKILL.md
# Returns Analysis description: Build quick IRR/MOIC sensitivity tables for PE deal evaluation. Models returns across entry multiple, leverage, exit multiple, growth, and hold period scenarios. Use when sizing up a deal, stress-testing assumptions, or preparing IC returns exhibits. Triggers on "returns analysis", "IRR sensitivity", "MOIC table", "what's the return at", "model the returns", or "back of the envelope". ## Workflow ### Step 1: Gather Deal Inputs Ask for (or extract from prior an
npx skillsauth add harsh040506/claude-code-unified-skill-plugin-library finance/private-equity/returns-analysisInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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description: Build quick IRR/MOIC sensitivity tables for PE deal evaluation. Models returns across entry multiple, leverage, exit multiple, growth, and hold period scenarios. Use when sizing up a deal, stress-testing assumptions, or preparing IC returns exhibits. Triggers on "returns analysis", "IRR sensitivity", "MOIC table", "what's the return at", "model the returns", or "back of the envelope".
Ask for (or extract from prior analysis):
Entry:
Financing:
Operating Assumptions:
Exit:
Calculate:
| Metric | Value | |--------|-------| | Entry EV | | | Equity invested | | | Exit EBITDA | | | Exit EV | | | Net debt at exit | | | Exit equity value | | | MOIC | | | IRR | | | Cash-on-cash | |
Show the returns waterfall:
Build 2-way sensitivity matrices:
Entry Multiple vs. Exit Multiple | | Exit 6x | Exit 7x | Exit 8x | Exit 9x | Exit 10x | |---|---------|---------|---------|---------|----------| | Entry 7x | | | | | | | Entry 8x | | | | | | | Entry 9x | | | | | | | Entry 10x | | | | | |
EBITDA Growth vs. Exit Multiple (at fixed entry)
Leverage vs. Exit Multiple (at fixed entry and growth)
Hold Period vs. Exit Multiple
Show both IRR and MOIC in each cell (IRR / MOIC format).
Build 3 scenarios:
| | Bull | Base | Bear | |---|------|------|------| | Revenue CAGR | | | | | Exit EBITDA margin | | | | | Exit multiple | | | | | Exit EBITDA | | | | | MOIC | | | | | IRR | | | |
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.