apps/api/app/skills/hca_deal_rubric/SKILL.md
--- name: HCA Deal Intelligence engine: markdown version: 1 category: sales tags: [deals, M&A, scoring, investment] auto_trigger: "Score companies on sell-likelihood for middle-market M&A advisory" inputs: - name: entity_id type: string description: "Knowledge entity UUID to score" required: true --- ## Description Score companies 0-100 on sell-likelihood for middle-market M&A advisory. ## Scoring Rubric (0-100 total, weighted) | Category | Weight | Max Points | What to look fo
npx skillsauth add nomad3/servicetsunami-agents HCA Deal IntelligenceInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Score companies 0-100 on sell-likelihood for middle-market M&A advisory.
| Category | Weight | Max Points | What to look for | |---|---|---|---| | ownership_succession | 0.30 | 30 | Owner age 55+, years in business 20+, no visible succession plan, owner reducing involvement, key person risk | | market_timing | 0.25 | 25 | Industry M&A activity trending up, multiples at cycle highs, competitor exits, industry consolidation, regulatory sell pressure | | company_performance | 0.20 | 20 | Revenue plateau after strong run, revenue $10M-$200M sweet spot, EBITDA margins expanding, customer concentration decreasing, recurring revenue growing | | external_triggers | 0.15 | 15 | Recent leadership changes (new CFO/COO), hiring for corp dev/M&A roles, capex slowdown, debt maturity approaching, recent press/awards | | negative_signals | 0.10 | -10 | Recent PE acquisition (-5), recent capital raise (-3), founder very young (-3), rapid hiring/growth mode (-2), new product launches (-2). These REDUCE the score. |
{relations_text}
Return ONLY a JSON object with this exact structure:
{
"score": "<integer 0-100>",
"breakdown": {
"ownership_succession": "<integer 0-30>",
"market_timing": "<integer 0-25>",
"company_performance": "<integer 0-20>",
"external_triggers": "<integer 0-15>",
"negative_signals": "<integer -10 to 0>"
},
"reasoning": "<one paragraph explaining the sell-likelihood assessment>"
}
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