skills/finance/analyzing-synergy-cases/SKILL.md
Structures revenue and cost synergy analysis with build-up methodology and realization timing. Use when estimating synergies, modeling cost savings, or analyzing revenue enhancement opportunities.
npx skillsauth add casemark/skills analyzing-synergy-casesInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Structures revenue and cost synergy analysis with bottom-up build methodology, realization phasing, and risk-adjusted valuation for M&A transactions.
Categorize synergy types — Separate into cost synergies (headcount reduction, facilities consolidation, procurement savings, IT rationalization, G&A elimination) and revenue synergies (cross-sell, upsell, pricing, new market access). Create a synergy taxonomy table with line-item granularity.
Build bottom-up estimates for each line item
Phase realization over time — Map each synergy to a realization curve. Cost synergies typically begin in Year 1 and reach run-rate by Year 2–3. Revenue synergies lag, often starting Year 2 with full run-rate at Year 3–5. Assign each line item a specific quarter for initiation and full realization.
Estimate one-time costs to achieve — For each synergy, quantify implementation costs: severance (typically 6–12 months per eliminated role), lease termination penalties, IT integration spend, rebranding, and change management. Express as a ratio of costs-to-achieve vs. annual run-rate synergies (market range: 0.5x–1.5x for cost synergies).
Risk-adjust and build scenario cases
Calculate NPV of net synergies — Discount phased net synergies (gross synergies minus costs to achieve) at the acquirer's WACC or a synergy-specific discount rate reflecting execution risk. Present as total NPV, NPV per share of target, and as a percentage of transaction enterprise value.
Benchmark against precedents — Compare synergy estimates (as % of combined revenue, combined COGS, or target revenue) to announced and realized synergies in comparable transactions. Flag material deviations with explanations.
development
name: automated-contract-summary language: en description: Generates structured executive summaries of contracts using ML — captures key terms, party obligations, risk allocations, and compliance requirements in a standardized format. Optimized for high-volume review where speed and consistency matter. tags: - summarization - agreement - corporate --- # Automated Contract Summarization Produces standardized executive summaries of contracts using machine learning, capturing essential term
tools
Extracts regulatory obligations from dense regulations across jurisdictions. Breaks down multi-level regulations into clear article-level obligations, classifies applicability to a business, and prioritizes by risk level. Use when translating regulations into actionable compliance requirements.
development
Continuously monitors regulatory landscapes for changes relevant to a specific business. Ingests global regulatory updates, filters by relevance, summarizes impact, and produces an actionable change advisory. Use when tracking regulatory developments affecting a particular product or market.
testing
Compares an organization's existing compliance controls, policies, and procedures against extracted regulatory obligations to identify coverage gaps. Produces a remediation plan with prioritized actions. Use when assessing compliance maturity or preparing for regulatory audits.