[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M718JV1463SCF8XND52PRN03":3,"skill-same:01M718JV1463SCF8XND52PRN03":66},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":44,"commitSha":45,"skillDirectory":46,"forksCount":47,"repositoryHtmlUrl":48,"repositoryHomepageUrl":6,"ownerHtmlUrl":49,"ownerBlogUrl":50,"ownerDescription":6,"updatedAt":51,"install":52,"resources":65},"01M718JV1463SCF8XND52PRN03","returns-analysis",null,"Build quick IRR\u002FMOIC sensitivity tables for PE deal evaluation. Models returns across entry multiple, leverage, exit multiple, growth, and hold period scenarios. Use when sizing up a deal, stress-testing assumptions, or preparing IC returns exhibits. Triggers on \"returns analysis\", \"IRR sensitivity\", \"MOIC table\", \"what's the return at\", \"model the returns\", or \"back of the envelope\".","anthropics\u002Ffinancial-services","anthropics","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F76263028?v=4","01M697XGDPXJAVQ8391V2BCYTE","Anthropic","01M7188Y8CSYMMZ40A4B4N518V",41213,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Fprivate-equity\u002Fskills\u002Freturns-analysis\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"analysis","returns","returns analysis","models","build","deal","across","growth","when","use","exit","triggers","up","testing","sensitivity","for","model","quick","leverage","back","2026-11-10 10:12:30",false,"---\nname: returns-analysis\ndescription: Build quick IRR\u002FMOIC sensitivity tables for PE deal evaluation. Models returns across entry multiple, leverage, exit multiple, growth, and hold period scenarios. Use when sizing up a deal, stress-testing assumptions, or preparing IC returns exhibits. Triggers on \"returns analysis\", \"IRR sensitivity\", \"MOIC table\", \"what's the return at\", \"model the returns\", or \"back of the envelope\".\n---\n\n# Returns Analysis\n\n## Workflow\n\n### Step 1: Gather Deal Inputs\n\nAsk for (or extract from prior analysis):\n\n**Entry:**\n- Entry EBITDA (LTM or NTM)\n- Entry multiple (EV \u002F EBITDA)\n- Enterprise value\n- Net debt at close\n- Equity check size\n- Transaction fees & expenses\n\n**Financing:**\n- Senior debt (x EBITDA, rate, amortization)\n- Subordinated debt \u002F mezzanine (if any)\n- Total leverage at entry (x EBITDA)\n- Equity contribution\n\n**Operating Assumptions:**\n- Revenue growth rate (annual)\n- EBITDA margin trajectory\n- Capex as % of revenue\n- Working capital changes\n- Debt paydown schedule\n\n**Exit:**\n- Hold period (years)\n- Exit multiple (EV \u002F EBITDA)\n- Exit EBITDA (calculated from growth assumptions)\n\n### Step 2: Base Case Returns\n\nCalculate:\n\n| Metric | Value |\n|--------|-------|\n| Entry EV | |\n| Equity invested | |\n| Exit EBITDA | |\n| Exit EV | |\n| Net debt at exit | |\n| Exit equity value | |\n| **MOIC** | |\n| **IRR** | |\n| Cash-on-cash | |\n\nShow the returns waterfall:\n- EBITDA growth contribution\n- Multiple expansion\u002Fcontraction contribution\n- Debt paydown contribution\n- Fee\u002Fexpense drag\n\n### Step 3: Sensitivity Tables\n\nBuild 2-way sensitivity matrices:\n\n**Entry Multiple vs. Exit Multiple**\n| | Exit 6x | Exit 7x | Exit 8x | Exit 9x | Exit 10x |\n|---|---------|---------|---------|---------|----------|\n| Entry 7x | | | | | |\n| Entry 8x | | | | | |\n| Entry 9x | | | | | |\n| Entry 10x | | | | | |\n\n**EBITDA Growth vs. Exit Multiple** (at fixed entry)\n\n**Leverage vs. Exit Multiple** (at fixed entry and growth)\n\n**Hold Period vs. Exit Multiple**\n\nShow both IRR and MOIC in each cell (IRR \u002F MOIC format).\n\n### Step 4: Scenario Analysis\n\nBuild 3 scenarios:\n\n| | Bull | Base | Bear |\n|---|------|------|------|\n| Revenue CAGR | | | |\n| Exit EBITDA margin | | | |\n| Exit multiple | | | |\n| Exit EBITDA | | | |\n| MOIC | | | |\n| IRR | | | |\n\n### Step 5: Output\n\n- Excel workbook with:\n  - Assumptions tab\n  - Returns calculation\n  - Sensitivity tables (formatted with conditional coloring)\n  - Scenario summary\n- One-page returns summary suitable for IC deck\n\n## Key Formulas\n\n- **MOIC** = Exit Equity Value \u002F Equity Invested\n- **IRR** = solve for r: Equity Invested × (1 + r)^n = Exit Equity Value (adjust for interim cash flows)\n- **Returns attribution**:\n  - Growth: (Exit EBITDA - Entry EBITDA) × Exit Multiple \u002F Equity\n  - Multiple: (Exit Multiple - Entry Multiple) × Entry EBITDA \u002F Equity\n  - Leverage: Debt paydown over hold period \u002F Equity\n\n## Important Notes\n\n- Always show returns both gross and net of fees\u002Fcarry where applicable\n- Management rollover and co-invest change the equity check — ask if relevant\n- Dividend recaps or interim distributions affect IRR significantly — include if planned\n- Don't forget transaction costs (typically 2-4% of EV) — they reduce Day 1 equity value\n- Tax considerations (asset vs. stock deal, 338(h)(10) election) can materially affect after-tax returns\n","# Returns Analysis\n\n## Workflow\n\n### Step 1: Gather Deal Inputs\n\nAsk for (or extract from prior analysis):\n\n**Entry:**\n- Entry EBITDA (LTM or NTM)\n- Entry multiple (EV \u002F EBITDA)\n- Enterprise value\n- Net debt at close\n- Equity check size\n- Transaction fees & expenses\n\n**Financing:**\n- Senior debt (x EBITDA, rate, amortization)\n- Subordinated debt \u002F mezzanine (if any)\n- Total leverage at entry (x EBITDA)\n- Equity contribution\n\n**Operating Assumptions:**\n- Revenue growth rate (annual)\n- EBITDA margin trajectory\n- Capex as % of revenue\n- Working capital changes\n- Debt paydown schedule\n\n**Exit:**\n- Hold period (years)\n- Exit multiple (EV \u002F EBITDA)\n- Exit EBITDA (calculated from growth assumptions)\n\n### Step 2: Base Case Returns\n\nCalculate:\n\n| Metric | Value |\n|--------|-------|\n| Entry EV | |\n| Equity invested | |\n| Exit EBITDA | |\n| Exit EV | |\n| Net debt at exit | |\n| Exit equity value | |\n| **MOIC** | |\n| **IRR** | |\n| Cash-on-cash | |\n\nShow the returns waterfall:\n- EBITDA growth contribution\n- Multiple expansion\u002Fcontraction contribution\n- Debt paydown contribution\n- Fee\u002Fexpense drag\n\n### Step 3: Sensitivity Tables\n\nBuild 2-way sensitivity matrices:\n\n**Entry Multiple vs. Exit Multiple**\n| | Exit 6x | Exit 7x | Exit 8x | Exit 9x | Exit 10x |\n|---|---------|---------|---------|---------|----------|\n| Entry 7x | | | | | |\n| Entry 8x | | | | | |\n| Entry 9x | | | | | |\n| Entry 10x | | | | | |\n\n**EBITDA Growth vs. Exit Multiple** (at fixed entry)\n\n**Leverage vs. Exit Multiple** (at fixed entry and growth)\n\n**Hold Period vs. Exit Multiple**\n\nShow both IRR and MOIC in each cell (IRR \u002F MOIC format).\n\n### Step 4: Scenario Analysis\n\nBuild 3 scenarios:\n\n| | Bull | Base | Bear |\n|---|------|------|------|\n| Revenue CAGR | | | |\n| Exit EBITDA margin | | | |\n| Exit multiple | | | |\n| Exit EBITDA | | | |\n| MOIC | | | |\n| IRR | | | |\n\n### Step 5: Output\n\n- Excel workbook with:\n  - Assumptions tab\n  - Returns calculation\n  - Sensitivity tables (formatted with conditional coloring)\n  - Scenario summary\n- One-page returns summary suitable for IC deck\n\n## Key Formulas\n\n- **MOIC** = Exit Equity Value \u002F Equity Invested\n- **IRR** = solve for r: Equity Invested × (1 + r)^n = Exit Equity Value (adjust for interim cash flows)\n- **Returns attribution**:\n  - Growth: (Exit EBITDA - Entry EBITDA) × Exit Multiple \u002F Equity\n  - Multiple: (Exit Multiple - Entry Multiple) × Entry EBITDA \u002F Equity\n  - Leverage: Debt paydown over hold period \u002F Equity\n\n## Important Notes\n\n- Always show returns both gross and net of fees\u002Fcarry where applicable\n- Management rollover and co-invest change the equity check — ask if relevant\n- Dividend recaps or interim distributions affect IRR significantly — include if planned\n- Don't forget transaction costs (typically 2-4% of EV) — they reduce Day 1 equity value\n- Tax considerations (asset vs. stock deal, 338(h)(10) election) can materially affect after-tax returns\n",{"name":5,"description":7},"main","60565064557ca77b12f62aa7877f365d111c129d","plugins\u002Fvertical-plugins\u002Fprivate-equity\u002Fskills\u002Freturns-analysis",5739,"https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services","https:\u002F\u002Fgithub.com\u002Fanthropics","https:\u002F\u002Fanthropic.com","2026-10-29 01:23:24",{"source":8,"skillName":5,"commands":53,"prompt":63,"zipAvailable":64},[54,57,60],{"tool":55,"command":56},"npx","npx skills add anthropics\u002Ffinancial-services --skill returns-analysis",{"tool":58,"command":59},"bunx","bunx skills add anthropics\u002Ffinancial-services --skill returns-analysis",{"tool":61,"command":62},"pnpm","pnpm dlx skills add anthropics\u002Ffinancial-services --skill returns-analysis","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Fprivate-equity\u002Fskills\u002Freturns-analysis\u002FSKILL.md",true,[],[67,91,113,142,160,182],{"skillNo":68,"name":69,"nameZh":6,"description":70,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":71,"categories":72,"keywords":73,"publishedAt":39},"01M718K18RVV0Z7T7JR4DDYCR9","value-creation-plan","Structure post-acquisition value creation plans with revenue, cost, and operational levers mapped to an EBITDA bridge. Includes 100-day priorities, KPI targets, and accountability frameworks. Use when planning post-close execution, preparing operating partner materials, or building a board-ready value creation roadmap. Triggers on \"value creation plan\", \"100-day plan\", \"post-close plan\", \"EBITDA bridge\", \"operating plan\", or \"value creation levers\".","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Fprivate-equity\u002Fskills\u002Fvalue-creation-plan\u002FSKILL.md",[],[74,75,76,77,78,79,80,81,82,83,30,84,85,28,86,27,87,88,89,90],"value","creation","value creation plan","plan","operating","ready","bridge","planning","frameworks","kpi","execution","plans","roadmap","materials","with","cost","acquisition",{"skillNo":92,"name":93,"nameZh":6,"description":94,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":95,"categories":96,"keywords":97,"publishedAt":39},"01M718JXVXRBT0736V7KDW3EHC","unit-economics","Analyze unit economics for PE targets — ARR cohorts, LTV\u002FCAC, net retention, payback periods, revenue quality, and margin waterfall. Essential for software\u002FSaaS, recurring revenue, and subscription businesses. Use when evaluating revenue quality, building a cohort analysis, or assessing customer economics. Triggers on \"unit economics\", \"cohort analysis\", \"ARR analysis\", \"LTV CAC\", \"net retention\", \"revenue quality\", or \"customer economics\".","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Fprivate-equity\u002Fskills\u002Funit-economics\u002FSKILL.md",[],[98,99,100,101,102,103,34,104,30,105,28,27,106,19,107,108,109,110,111,112],"unit","economics","unit economics","cohort analysis","recurring","essential","retention","recurring revenue","saas","analyze","targets","arr","customer","revenue","cohort",{"skillNo":114,"name":115,"nameZh":6,"description":116,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":117,"categories":118,"keywords":127,"publishedAt":39},"01M718JRJYHENXRTAS2WES2J4E","portfolio-monitoring","Track and analyze portfolio company performance against plan. Ingests monthly\u002Fquarterly financial packages (Excel, PDF), extracts KPIs, flags variances to budget, and produces summary dashboards. Use when reviewing portfolio company financials, preparing board materials, or monitoring covenant compliance. Triggers on \"review portfolio company\", \"monthly financials\", \"how is [company] performing\", \"covenant check\", or \"portfolio update\".","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Fprivate-equity\u002Fskills\u002Fportfolio-monitoring\u002FSKILL.md",[119,124],{"categoryNo":120,"categoryName":121,"taxonomyType":122,"taxonomyTypeDesc":123},"01JBSEEDCAT000000000000002","文档处理","SCENARIO","使用场景",{"categoryNo":125,"categoryName":126,"taxonomyType":122,"taxonomyTypeDesc":123},"01JBSEEDCAT000000000000004","电子表格",[128,129,130,131,132,133,134,135,30,28,27,136,137,107,87,138,139,77,140,141],"portfolio monitoring","monitoring","portfolio","financials","PDF","xlsx","performance","company","review","check","packages","track","covenant","how",{"skillNo":143,"name":144,"nameZh":6,"description":145,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":146,"categories":147,"keywords":148,"publishedAt":39},"01M718JPCC86RSTX0ZH4XK26J7","ic-memo","Draft a structured investment committee memo for PE deal approval. Synthesizes due diligence findings, financial analysis, and deal terms into a professional IC-ready document. Use when preparing for investment committee, writing up a deal, or creating a formal recommendation. Triggers on \"write IC memo\", \"investment committee memo\", \"deal write-up\", \"prepare IC materials\", or \"recommendation memo\".","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Fprivate-equity\u002Fskills\u002Fic-memo\u002FSKILL.md",[],[149,150,151,79,152,34,153,31,30,154,28,155,27,19,87,156,24,157,158,159],"ic memo","memo","recommendation memo","professional","recommendation","writing","document","draft","write","financial analysis","investment",{"skillNo":161,"name":162,"nameZh":6,"description":163,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":164,"categories":165,"keywords":169,"publishedAt":39},"01M718JK2B01WZQPFHVHKY25PD","deal-sourcing","PE deal sourcing workflow — discover target companies, check CRM for existing relationships, and draft personalized founder outreach emails. Use when sourcing new deals, prospecting companies in a sector, or reaching out to founders. Triggers on \"find companies\", \"source deals\", \"draft founder email\", \"check if we've seen this company\", or \"outreach to founder\".","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Fprivate-equity\u002Fskills\u002Fdeal-sourcing\u002FSKILL.md",[166],{"categoryNo":167,"categoryName":168,"taxonomyType":122,"taxonomyTypeDesc":123},"01JBSEEDCAT000000000000005","邮件与沟通",[170,171,24,172,173,174,34,135,30,175,176,177,28,178,27,179,180,137,156,181],"sourcing","deal sourcing","target","discover","email","emails","prospecting","new","Existing","workflow","founders","find",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":188,"publishedAt":39},"01M718JFTZ7KAE48K79SPC34R8","deal-screening","Quickly screen inbound deal flow — CIMs, teasers, and broker materials — against the fund's investment criteria. Extracts key deal metrics, runs a pass\u002Ffail framework, and outputs a one-page screening memo. Use when reviewing new deal flow, triaging inbound materials, or deciding whether to take a first call. Triggers on \"screen this deal\", \"review this CIM\", \"should we look at this\", \"triage this teaser\", or \"deal screening\".","https:\u002F\u002Fgithub.com\u002Fanthropics\u002Ffinancial-services\u002Fblob\u002Fmain\u002Fplugins\u002Fvertical-plugins\u002Fprivate-equity\u002Fskills\u002Fdeal-screening\u002FSKILL.md",[],[189,24,190,191,30,192,193,177,28,27,136,87,194,150,195,196,197,198,199,200],"deal screening","screening","page","outputs","call","broker","one-page","first","screen","at","take","fund"]