deal-memo-writer
Write deal memos for PE acquisitions and CRE investments. Structure company/property overview, investment thesis, financial analysis, risks, and recommendation. Use when preparing deal memos, writing investment summaries, or documenting deal rationale.
Install
mkdir -p .claude/skills/deal-memo-writer && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/16993" && unzip -o skill.zip -d .claude/skills/deal-memo-writer && rm skill.zipInstalls to .claude/skills/deal-memo-writer
Activation
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Write deal memos for PE acquisitions and CRE investments. Structure company/property overview, investment thesis, financial analysis, risks, and recommendation. Use when preparing deal memos, writing investment summaries, or documenting deal rationale.About this skill
/deal-memo-writer -- Deal Memo Writer
Write structured deal memos for PE acquisitions and CRE investments.
Before executing, read
_shared/plugin-context.mdfor Nexus domain vocabulary, MCP tool references, and quality standards.
Prerequisites
Required: Deal data -- either from MCP tools or provided manually (financials, company/property info, market context).
Optional MCP Connections (enhance automation):
- Nexus MCP (
nexus.syntari-ai.com/api/mcp) --nexus_get_deal,nexus_run_modelfor deal data and financial model outputs - BigData.com MCP (via
financial-analysisplugin) -- company tearsheets, financials, SEC filings for research - PitchBook MCP -- comparable transactions, market sizing
- S&P Global / Kensho MCP -- Capital IQ financial data
Graceful Degradation: If MCP tools are not connected, provide deal details manually. Paste financials, upload documents, or describe the deal in conversation. The memo structure and analytical frameworks work identically with manual input.
When to Use
- Documenting a deal for IC review
- Creating a preliminary deal summary after initial screening
- Writing up deal rationale after first-round diligence
- Generating CRE investment memos with property-specific analysis
- Preparing a condensed one-pager for deal committee
- Converting raw deal data into formatted investment narrative
Memo Structure
Executive Summary (1 page)
- Deal overview: target, sector, size, structure
- Key thesis points (3-4 bullets)
- Headline financial metrics
- Recommendation (proceed/pass/more diligence)
Company/Property Overview (1-2 pages)
- Business description / property description
- History and key milestones
- Market position and competitive landscape
- Management team / tenant roster
Investment Thesis (1-2 pages)
- Market opportunity and TAM
- Competitive advantage / moat
- Value creation plan
- Return expectations
- Key risks and mitigants
Financial Analysis (2-3 pages)
- Historical financial performance
- Pro forma projections
- Return analysis (IRR, MOIC for PE; cap rate, cash yield for CRE)
- Sensitivity tables
- Comparable transactions
Risk Assessment (1 page)
- Key risks with severity rating (Critical / High / Medium / Low)
- Mitigation strategies
- Downside scenario analysis
Recommendation & Next Steps
- Clear recommendation with supporting rationale
- Conditions or open items
- Timeline for next steps
Data Shapes
Deal Memo
interface DealMemo {
dealName: string
dealType: 'pe_acquisition' | 'cre_investment'
status: 'draft' | 'review' | 'approved' | 'rejected'
sections: {
executiveSummary: string
companyOverview: string
investmentThesis: string
financialAnalysis: string
riskAssessment: string
recommendation: string
}
financials: {
enterpriseValue?: number // PE: total enterprise value
equity?: number // PE: equity check size
irr?: number // Projected IRR (%)
moic?: number // Projected MOIC (x)
capRate?: number // CRE: going-in cap rate (%)
noi?: number // CRE: net operating income ($)
}
createdBy: string
createdAt: string
}
Workflow
Step 1: Gather All Inputs
- With Nexus MCP: Use
nexus_get_dealto pull deal data. Usenexus_run_modelfor financial model outputs. - With BigData.com MCP: Use
bigdata_company_tearsheetfor target company profiles and financials. - Without MCP: Collect deal data, financial analysis, market research, and diligence findings from the user.
Step 2: Draft Each Section
Write with professional analytical tone, data-driven assertions, balanced risk perspective.
Step 3: Financial Tables
Format all financial data with monospaced font, consistent decimals, proper currency formatting. Use Intl.NumberFormat conventions ($X.XM, X.Xx for multiples, X.X% for percentages).
Step 4: Review
Cross-check all figures, ensure internal consistency, verify market data citations.
Sample Output
=======================================================
CONFIDENTIAL -- INVESTMENT MEMORANDUM
=======================================================
Target: Meridian Data Solutions, Inc.
Sector: Enterprise Software (Data Infrastructure)
Structure: Control Buyout (85% equity)
EV: $420M (8.2x LTM EBITDA)
Sponsor: SVP Growth Equity Fund IV
EXECUTIVE SUMMARY
-----------------
Meridian Data Solutions is a mission-critical data infrastructure
platform serving 340+ enterprise clients across financial services
and healthcare. We recommend proceeding to final diligence based on:
1. 92% recurring revenue with 118% NRR -- best-in-class retention
2. $2.1B TAM growing 14% CAGR -- significant whitespace
3. EBITDA margin expansion opportunity: 38% -> 48% via sales efficiency
4. Platform stickiness: <2% annual logo churn, 18-month implementation
RETURN ANALYSIS
-----------------
Base Upside Downside
Entry EV/EBITDA 8.2x 8.2x 8.2x
Exit EV/EBITDA 10.0x 11.5x 8.0x
Revenue CAGR 12% 16% 8%
EBITDA Margin 48% 52% 42%
Gross IRR 28.4% 35.1% 14.2%
Net IRR 23.1% 29.6% 10.8%
MOIC 2.8x 3.5x 1.8x
RECOMMENDATION: PROCEED to Phase II diligence
> Outstanding items: management reference calls, IT security audit
> Timeline: 4 weeks to final IC presentation
=======================================================
Workflow Chain
This skill is step 3 in the PE deal chain: /deal-screener -> /deal-memo-writer -> /financial-modeling. Also participates in document analysis and autonomous diligence chains.
Related Skills
/deal-screener-- Screen and score deals before memo writing/financial-modeling-- LBO, DCF, M&A models to support deal memo financial analysis/om-parser-- Parse CRE offering memorandums for property deal data/cre-underwriter-- Full CRE underwriting model for CRE investment memos/competitive-analysis-- Competitor analysis for the market position section
Confidence Calibration
Every deal memo must include a calibrated confidence assessment:
## Confidence Assessment
- **Score**: 0.XX (0.0 = no confidence, 1.0 = full confidence)
- **Calibration**: conservative | neutral | optimistic
- **Confidence Drivers**: [what supports the score -- e.g., "audited financials available", "management meetings completed", "multiple data sources cross-referenced"]
- **Data Gaps**: [what's missing that would improve confidence -- e.g., "no customer reference calls", "industry comps limited to 3 transactions"]
Three-pass calibration: Generate analysis from conservative, neutral, and optimistic perspectives. High consistency across passes = high confidence. Divergence = flag for human review.
Typical confidence ranges:
- 0.85+: Full diligence materials, audited financials, management access, market data confirmed
- 0.65-0.84: Preliminary diligence, unaudited financials, limited management interaction
- 0.40-0.64: Screening-stage data only, significant assumptions required
- Below 0.40: Insufficient data for a credible memo -- request additional information before drafting