ma-playbook

M&A strategy for acquiring companies or being acquired. Due diligence, valuation, integration, and deal structure. Use when evaluating acquisitions, preparing…

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SKILL.md

M&A Playbook

Frameworks for both sides of M&A: acquiring companies and being acquired.

Keywords

M&A, mergers and acquisitions, due diligence, acquisition, acqui-hire, integration, deal structure, valuation, LOI, term sheet, earnout

Quick Start

Acquiring: Start with strategic rationale → target screening → due diligence → valuation → negotiation → integration.

Being Acquired: Start with readiness assessment → data room prep → advisor selection → negotiation → transition.

When You're Acquiring

Strategic Rationale (answer before anything else)

  • Buy vs Build: Can you build this faster/cheaper? If yes, don't acquire.
  • Acqui-hire vs Product vs Market: What are you really buying? Talent? Technology? Customers?
  • Integration complexity: How hard is it to merge this into your company?

Due Diligence Checklist

DomainKey QuestionsRed Flags
FinancialRevenue quality, customer concentration, burn rate>30% revenue from 1 customer
TechnicalCode quality, tech debt, architecture fitMonolith with no tests
LegalIP ownership, pending litigation, contractsKey IP owned by individuals
PeopleKey person risk, culture fit, retention riskFounders have no lockup/earnout
MarketMarket position, competitive threatsDeclining market share
CustomersChurn rate, NPS, contract termsHigh churn, short contracts

Valuation Approaches

The ranges below are illustrative, not current market data — always verify against current market comps before using them in a model or negotiation.

  • Revenue multiple: Industry-dependent (illustrative range: 2-15x ARR for SaaS, varying with growth rate, NRR, and rate environment)
  • Comparable transactions: What similar companies sold for — the most defensible anchor
  • DCF: For profitable companies only (most startups: use multiples)
  • Acqui-hire: Illustrative range: $1-3M per engineer in hot talent markets

Sources to verify against (check the latest edition): the SaaS Capital Index (private SaaS revenue multiples, updated monthly), Software Equity Group (SEG) Annual/Quarterly SaaS M&A Reports (transaction multiples), and Aventis Advisors' SaaS valuation multiples reports. Cross-check at least two before anchoring a price.

Integration Frameworks

See references/integration-playbook.md for the 100-day integration plan.

When You're Being Acquired

Readiness Signals

  • Inbound interest from strategic buyers
  • Market consolidation happening around you
  • Fundraising becomes harder than operating
  • Founder ready for a transition

Preparation (6-12 months before)

  • Clean up financials (audited if possible)
  • Document all IP and contracts
  • Reduce customer concentration
  • Lock up key employees
  • Build the data room
  • Engage an M&A advisor

Negotiation Points

TermWhat to WatchYour Leverage
ValuationEarnout traps (unreachable targets)Multiple competing offers
EarnoutMilestone definitions, measurement periodCash-heavy vs earnout-heavy split
LockupDuration, conditionsYour replaceability
Rep & warrantiesScope of liabilityEscrow vs indemnification cap
Employee retentionWho gets offers, at what termsKey person dependencies

Red Flags (Both Sides)

  • No clear strategic rationale beyond "it's a good deal"
  • Culture clash visible during due diligence and ignored
  • Key people not locked in before close
  • Integration plan doesn't exist or is "we'll figure it out"
  • Valuation based on projections, not actuals

Verification Loop (before any LOI or signature)

This skill frames the deal; two sibling skills verify it. Hand off — don't duplicate:

  • Legal termsgeneral-counsel-advisor: run the LOI/term sheet through ../general-counsel-advisor/scripts/term_sheet_analyzer.py (12-dimension 0-100 score) and the definitive docs through ../general-counsel-advisor/scripts/contract_risk_scanner.py (12 founder-killer patterns: earnout traps, uncapped indemnity, vague IP, etc.). Any 🔴 finding goes to outside counsel before signing.
  • Data diligencechief-data-officer-advisor: run ../chief-data-officer-advisor/scripts/ai_training_data_audit.py (training-data rights, GDPR Art. 6 basis) and ../chief-data-officer-advisor/scripts/data_asset_valuator.py (data-asset value, M&A multiplier with carve-out penalties) on the target's data estate. Undocumented consent provenance is a price-reduction or walk-away item.
  • Valuation mathcfo-advisor tools for the quantitative model; this playbook stays qualitative.

Loop the findings back into the negotiation-points table above before the next counter.

Integration with C-Suite Roles

RoleContribution to M&A
CEOStrategic rationale, negotiation lead
CFOValuation, deal structure, financing
GCLOI/term sheet review, contract risk scan, regulatory triggers
CDOData diligence: training-data rights, data-asset valuation
CTOTechnical due diligence, integration architecture
CHROPeople due diligence, retention planning
COOIntegration execution, process merge
CPOProduct roadmap impact, customer overlap

Resources

  • references/integration-playbook.md — 100-day post-acquisition integration plan
  • references/due-diligence-checklist.md — comprehensive DD checklist by domain
  • ../general-counsel-advisor/SKILL.md — term sheet analyzer + contract risk scanner
  • ../chief-data-officer-advisor/SKILL.md — data diligence + data-asset valuation
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