Build and organize a universe of potential acquirers for sell-side M&A processes. Identifies strategic and financial buyers, assesses fit, and prioritizes outreach. Use when preparing for a sell-side mandate, building a buyer universe, or evaluating potential partners. Triggers on "buyer list", "buyer universe", "potential acquirers", "who would buy this", "strategic buyers", or "financial sponsors".
Copy the install command and let the AI configure it · recommended for beginners
Please install the "buyer-list" skill from askskill: 1. Download https://raw.githubusercontent.com/anthropics/financial-services/main/plugins/vertical-plugins/investment-banking/skills/buyer-list/SKILL.md 2. Save it as ~/.claude/skills/buyer-list/SKILL.md 3. Reload skills and tell me it's ready
Identify strategic acquirers across categories:
Direct Competitors
Adjacent Players
Vertical Integrators
Platform Builders
For each strategic buyer, assess:
| Buyer | Sector | Revenue | Strategic Fit | Financial Capacity | M&A Track Record | Likelihood | Priority |
|---|---|---|---|---|---|---|---|
| High/Med/Low | Active/Moderate/None | A/B/C |
Identify PE/financial buyers:
Platform Investors
Add-on Buyers
Growth Equity
For each sponsor:
| Sponsor | Fund Size | Sector Focus | Portfolio Overlap | Recent Activity | Priority |
|---|---|---|---|---|---|
| A/B/C |
Tier the buyer list:
For each Tier 1 buyer:
Review fixed income portfolios by pricing multiple bonds, retrieving reference data, analyzing cashflows, and running scenario analysis. Use when reviewing bond portfolios, computing portfolio duration and DV01, analyzing cashflow waterfalls, stress testing rate scenarios, or assessing portfolio composition.
Scan the portfolio for the highest-leverage AI opportunities and rank where to deploy operating-partner time. Ingests quarterly updates and financials across multiple portfolio companies, identifies quick wins at each, and stacks them into a single ranked action list. Use during quarterly portfolio reviews, annual planning, or when deciding which companies get AI investment first. Triggers on "AI readiness", "AI opportunity scan", "where should we deploy AI", "AI across the portfolio", "AI quick wins", or "which portcos are ready for AI".
Build macroeconomic and rates dashboards combining macro indicators, yield curves, inflation breakevens, and swap rates. Use when monitoring macro conditions, analyzing yield curve shape, decomposing real vs nominal rates, assessing policy rate expectations, or evaluating financial conditions.
Analyze option volatility by combining vol surface data, option pricing with Greeks, and historical price data to assess implied vs realized volatility. Use when pricing options, analyzing volatility surfaces, computing Greeks, assessing vol premiums, or evaluating vol trading strategies.
Analyze the interest rate swap curve by pricing swaps at multiple tenors, overlaying government and inflation curves, and identifying curve trade opportunities. Use when analyzing swap curves, computing swap spreads, decomposing real rates, identifying steepener/flattener/butterfly trades, or comparing swap rates across currencies.
Generate comprehensive equity research snapshots combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context. Use when researching stocks, comparing estimates to actuals, analyzing company financials, assessing equity valuations, or building investment cases.