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Ma Playbook

  • 585 installs
  • 23.5k repo stars
  • Updated July 17, 2026
  • alirezarezvani/claude-skills

ma-playbook is a Claude Code skill that runs structured M&A due diligence across financial, technical, legal, and operational domains so developers evaluating software business acquisitions can systematically assess deal

About

ma-playbook is an alirezarezvani Claude Code skill providing a comprehensive M&A due diligence checklist organized by domain for buying or selling a software business. The playbook covers revenue quality metrics like MRR/ARR trends, churn cohorts, and customer concentration, plus profitability, technical debt, legal exposure, and operational dependencies. Developers and technical founders reach for it when evaluating an acquisition target, preparing a business for sale, or scoping what diligence items matter for a specific deal rationale. The skill produces a structured domain-by-domain assessment rather than a generic checklist, focusing teams on deal-critical verification areas.

  • Financial diligence: revenue concentration, MRR/ARR trends, churn cohorts, unit economics, cap table, and liabilities
  • Technical diligence: architecture diagrams, stack inventory, scalability, security posture, and technical debt
  • Operational and legal checklist domains framed as pick-what-matters-for-your-deal rationale
  • Emphasis on 24-month revenue trends and realistic path-to-profitability scrutiny
  • Checkbox-oriented structure for agent-guided review sessions with a data room

Ma Playbook by the numbers

  • 585 all-time installs (skills.sh)
  • Ranked #202 of 1,107 Finance & Trading skills by installs in the Skillselion catalog
  • Security screen: HIGH risk (skills.sh audit)
  • Data as of Jul 31, 2026 (Skillselion catalog sync)
npx skills add https://github.com/alirezarezvani/claude-skills --skill ma-playbook

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Listed on Skillselion
Installs585
repo stars23.5k
Security audit2 / 3 scanners passed
Last updatedJuly 17, 2026
Repositoryalirezarezvani/claude-skills

What due diligence checks matter for software acquisitions?

Run structured M&A due diligence across financial, technical, legal, and operational domains when buying or selling a small software business.

Who is it for?

Developers or technical founders conducting structured due diligence when buying or selling a small software business.

Skip if: Day-to-day product development, enterprise M&A with dedicated legal teams already running parallel processes, or non-software asset purchases.

When should I use this skill?

A developer evaluates buying or selling a software business and needs structured financial, technical, legal, and operational diligence.

What you get

Domain-organized due diligence checklist with revenue, churn, technical, legal, and operational verification items scoped to the deal.

  • Domain-scoped due diligence checklist
  • Revenue and churn verification plan
  • Deal-risk assessment outline

By the numbers

  • Covers 4 diligence domains: financial, technical, legal, and operational
  • Recommends 24 months minimum MRR/ARR trend review

Files

SKILL.mdMarkdownGitHub ↗

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)

1. Clean up financials (audited if possible) 2. Document all IP and contracts 3. Reduce customer concentration 4. Lock up key employees 5. Build the data room 6. 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:

1. 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. 2. 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. 3. 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

Related skills

How it compares

Pick ma-playbook over generic project planning skills when evaluating software business acquisitions requiring structured multi-domain diligence.

FAQ

What domains does ma-playbook cover in due diligence?

ma-playbook structures diligence across financial, technical, legal, and operational domains. Financial checks include MRR/ARR trends, churn cohorts, customer concentration, and gross margin breakdowns by product line.

How much revenue history does ma-playbook recommend reviewing?

ma-playbook recommends a minimum 24-month MRR/ARR trend review plus gross and net churn analysis by cohort. Revenue quality checks also cover one-time versus recurring splits and deferred revenue balances.

Is Ma Playbook safe to install?

skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.

Finance & Tradingfinanceecommercepricing

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