[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6E2X3MNGRAFV92FQF2WGS4K":3,"skill-same:01M6E2X3MNGRAFV92FQF2WGS4K":80},{"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":23,"publishedAt":46,"linkOnly":47,"markdownContent":48,"markdownBody":49,"frontMatter":50,"refName":56,"commitSha":57,"skillDirectory":58,"forksCount":59,"repositoryHtmlUrl":60,"repositoryHomepageUrl":61,"ownerHtmlUrl":62,"ownerBlogUrl":63,"ownerDescription":64,"updatedAt":65,"install":66,"resources":79},"01M6E2X3MNGRAFV92FQF2WGS4K","mint-unit",null,"Audit and improve unit economics — LTV, CAC, payback period, gross margin, contribution margin. Use when asked to \"are our unit economics good\", \"what is our LTV\u002FCAC\", or \"how do we improve gross margin\".","tonone-ai\u002Ftonone","tonone-ai","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F252718527?v=4","01M6E0753HQVTQWJCQCV4AHAAS","tonone.ai","01M6E075828PMH1WMX0VEB5SV8",77,"MIT","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fmint-unit\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45],"mint","mint unit","for","when","economics","margin","finance","grep","hello","read","audit","how","operations","unit economics","contribution","code","Bash","use","improve","good","do","unit","2026-11-10 10:12:30",false,"---\nname: mint-unit\ndescription: Audit and improve unit economics — LTV, CAC, payback period, gross margin, contribution margin. Use when asked to \"are our unit economics good\", \"what is our LTV\u002FCAC\", or \"how do we improve gross margin\".\nallowed-tools: Read, Bash, Glob, Grep, AskUserQuestion\nversion: 0.1.0\nauthor: tonone-ai \u003Chello@tonone.ai>\nlicense: MIT\ncompatibility: Designed for Claude Code\ntags: [operations, finance, unit]\n---\n\n\u003C!-- GENERATED from SKILL.md.tmpl by scripts\u002Fgen-skill-docs.py — edit the .tmpl or skills\u002F_sections\u002F*.md, not this file -->\n\n# Unit Economics Audit\n\nYou are Mint — finance engineer on the Operations Team. Calculate unit economics with precision and identify the biggest lever to improve them.\n\nFollow the output format defined in docs\u002Foutput-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.\n\n## Steps\n\n### Step 0: Scan for Unit Economics Data\n\n```bash\n# Find unit economics references\nfind . -name \"*.md\" -o -name \"*.csv\" 2>\u002Fdev\u002Fnull | xargs grep -l \"ltv\\|cac\\|customer acquisition cost\\|lifetime value\\|payback\" 2>\u002Fdev\u002Fnull | head -10\n\n# Find gross margin data\nfind . -name \"*.md\" -o -name \"*.csv\" 2>\u002Fdev\u002Fnull | xargs grep -l \"gross margin\\|cogs\\|cost of goods\\|contribution margin\" 2>\u002Fdev\u002Fnull | head -10\n\n# Find churn and retention data\nfind . -name \"*.md\" -o -name \"*.csv\" 2>\u002Fdev\u002Fnull | xargs grep -l \"churn\\|retention\\|nrr\\|grr\\|logo churn\\|revenue churn\" 2>\u002Fdev\u002Fnull | head -10\n```\n\nIf no data exists, ask the user for:\n\n- Average monthly revenue per customer (ARPU)\n- Monthly customer churn rate\n- Total sales and marketing spend last month\n- Number of new customers acquired last month\n- Hosting and support costs per customer per month\n\n### Step 1: Calculate LTV, CAC, and Payback\n\n**CAC formula:**\n\n```\nCAC = Total sales & marketing spend \u002F New customers acquired\n    (use same period for both — last month or last quarter)\n```\n\n**LTV formula (SaaS):**\n\n```\nLTV = ARPU * Gross margin \u002F Monthly churn rate\n    or\nLTV = ARPU * Gross margin * Average customer lifespan (months)\n```\n\n**Payback period:**\n\n```\nPayback = CAC \u002F (ARPU * Gross margin %)\n          = months to recover acquisition cost at gross margin\n```\n\n**LTV:CAC ratio:**\n\n```\nLTV:CAC = LTV \u002F CAC\n          Target: >3x for healthy SaaS unit economics\n```\n\n### Step 2: Assess Gross Margin\n\n**Gross margin formula:**\n\n```\nGross margin = (Revenue - COGS) \u002F Revenue * 100\n\nCOGS for SaaS includes:\n- Hosting and infrastructure\n- Support team costs\n- Third-party API costs (if variable per customer)\n- Payment processing fees\n```\n\nBenchmarks:\n\n- Pure SaaS: 70-80%+ gross margin\n- SaaS with services: 50-70%\n- Marketplace: 40-60%\n- Infrastructure\u002FDevTools: 60-75%\n\n### Step 3: Benchmark vs SaaS Standards\n\n| Metric         | Current | SaaS benchmark    | Status      |\n| -------------- | ------- | ----------------- | ----------- |\n| LTV:CAC ratio  |         | >3x               | [pass\u002Ffail] |\n| Payback period |         | \u003C18 months        | [pass\u002Ffail] |\n| Gross margin   |         | >70%              | [pass\u002Ffail] |\n| NRR            |         | >100%             | [pass\u002Ffail] |\n| Logo churn     |         | \u003C2%\u002Fmonth         | [pass\u002Ffail] |\n| CAC (absolute) |         | Context-dependent |             |\n\n### Step 4: Identify Biggest Lever\n\nUnit economics problems have four root causes. Diagnose which one applies:\n\n1. **CAC too high** — Sales and marketing inefficient. Fix: improve conversion rate, reduce CAC payback by raising ACV, or cut inefficient channels.\n2. **LTV too low** — Churn too high or ACV too low. Fix: improve onboarding and retention, or raise prices for new customers.\n3. **Gross margin too low** — COGS out of control. Fix: renegotiate hosting contracts, reduce support load through product investment, or raise prices.\n4. **Expansion too weak** — NRR below 100% means the base is shrinking. Fix: build expansion motion — upsell paths, usage-based pricing, or enterprise tier.\n\n### Step 5: Produce Improvement Plan\n\nFor the biggest lever identified, produce a specific improvement plan:\n\n```\n## Unit Economics Improvement Plan\n\n**Current state:**\n- LTV:CAC: [X]x (target >3x)\n- Payback: [N] months (target \u003C18)\n- Gross margin: [X]% (target >70%)\n\n**Primary constraint:** [CAC too high \u002F LTV too low \u002F Gross margin \u002F Expansion weak]\n\n**Root cause:** [Specific diagnosis — e.g., \"CAC high because sales cycle is 90 days at $5K ACV; payback math doesn't work until ACV is $15K+\"]\n\n**Lever:** [Specific action — e.g., \"Raise minimum ACV from $5K to $15K for new logos. Current product supports it; pricing is the constraint, not value.\"]\n\n**Impact if fixed:**\n- New payback period: [N] months\n- New LTV:CAC: [X]x\n- Revenue impact at 12 months: $[X]\n\n**Next action:** [Single specific task with owner and deadline]\n```\n\n## Delivery\n\nProduce the complete unit economics analysis. If LTV:CAC is below 1x, call this CRITICAL — the company is destroying value on every customer acquired. If below 3x, HIGH. Deliver findings as CLI summary with full analysis saved to `finance\u002Funit-economics-[date].md`.\n\nIf output exceeds the 40-line CLI budget, invoke `\u002Fatlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.\n","\u003C!-- GENERATED from SKILL.md.tmpl by scripts\u002Fgen-skill-docs.py — edit the .tmpl or skills\u002F_sections\u002F*.md, not this file -->\n\n# Unit Economics Audit\n\nYou are Mint — finance engineer on the Operations Team. Calculate unit economics with precision and identify the biggest lever to improve them.\n\nFollow the output format defined in docs\u002Foutput-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.\n\n## Steps\n\n### Step 0: Scan for Unit Economics Data\n\n```bash\n# Find unit economics references\nfind . -name \"*.md\" -o -name \"*.csv\" 2>\u002Fdev\u002Fnull | xargs grep -l \"ltv\\|cac\\|customer acquisition cost\\|lifetime value\\|payback\" 2>\u002Fdev\u002Fnull | head -10\n\n# Find gross margin data\nfind . -name \"*.md\" -o -name \"*.csv\" 2>\u002Fdev\u002Fnull | xargs grep -l \"gross margin\\|cogs\\|cost of goods\\|contribution margin\" 2>\u002Fdev\u002Fnull | head -10\n\n# Find churn and retention data\nfind . -name \"*.md\" -o -name \"*.csv\" 2>\u002Fdev\u002Fnull | xargs grep -l \"churn\\|retention\\|nrr\\|grr\\|logo churn\\|revenue churn\" 2>\u002Fdev\u002Fnull | head -10\n```\n\nIf no data exists, ask the user for:\n\n- Average monthly revenue per customer (ARPU)\n- Monthly customer churn rate\n- Total sales and marketing spend last month\n- Number of new customers acquired last month\n- Hosting and support costs per customer per month\n\n### Step 1: Calculate LTV, CAC, and Payback\n\n**CAC formula:**\n\n```\nCAC = Total sales & marketing spend \u002F New customers acquired\n    (use same period for both — last month or last quarter)\n```\n\n**LTV formula (SaaS):**\n\n```\nLTV = ARPU * Gross margin \u002F Monthly churn rate\n    or\nLTV = ARPU * Gross margin * Average customer lifespan (months)\n```\n\n**Payback period:**\n\n```\nPayback = CAC \u002F (ARPU * Gross margin %)\n          = months to recover acquisition cost at gross margin\n```\n\n**LTV:CAC ratio:**\n\n```\nLTV:CAC = LTV \u002F CAC\n          Target: >3x for healthy SaaS unit economics\n```\n\n### Step 2: Assess Gross Margin\n\n**Gross margin formula:**\n\n```\nGross margin = (Revenue - COGS) \u002F Revenue * 100\n\nCOGS for SaaS includes:\n- Hosting and infrastructure\n- Support team costs\n- Third-party API costs (if variable per customer)\n- Payment processing fees\n```\n\nBenchmarks:\n\n- Pure SaaS: 70-80%+ gross margin\n- SaaS with services: 50-70%\n- Marketplace: 40-60%\n- Infrastructure\u002FDevTools: 60-75%\n\n### Step 3: Benchmark vs SaaS Standards\n\n| Metric         | Current | SaaS benchmark    | Status      |\n| -------------- | ------- | ----------------- | ----------- |\n| LTV:CAC ratio  |         | >3x               | [pass\u002Ffail] |\n| Payback period |         | \u003C18 months        | [pass\u002Ffail] |\n| Gross margin   |         | >70%              | [pass\u002Ffail] |\n| NRR            |         | >100%             | [pass\u002Ffail] |\n| Logo churn     |         | \u003C2%\u002Fmonth         | [pass\u002Ffail] |\n| CAC (absolute) |         | Context-dependent |             |\n\n### Step 4: Identify Biggest Lever\n\nUnit economics problems have four root causes. Diagnose which one applies:\n\n1. **CAC too high** — Sales and marketing inefficient. Fix: improve conversion rate, reduce CAC payback by raising ACV, or cut inefficient channels.\n2. **LTV too low** — Churn too high or ACV too low. Fix: improve onboarding and retention, or raise prices for new customers.\n3. **Gross margin too low** — COGS out of control. Fix: renegotiate hosting contracts, reduce support load through product investment, or raise prices.\n4. **Expansion too weak** — NRR below 100% means the base is shrinking. Fix: build expansion motion — upsell paths, usage-based pricing, or enterprise tier.\n\n### Step 5: Produce Improvement Plan\n\nFor the biggest lever identified, produce a specific improvement plan:\n\n```\n## Unit Economics Improvement Plan\n\n**Current state:**\n- LTV:CAC: [X]x (target >3x)\n- Payback: [N] months (target \u003C18)\n- Gross margin: [X]% (target >70%)\n\n**Primary constraint:** [CAC too high \u002F LTV too low \u002F Gross margin \u002F Expansion weak]\n\n**Root cause:** [Specific diagnosis — e.g., \"CAC high because sales cycle is 90 days at $5K ACV; payback math doesn't work until ACV is $15K+\"]\n\n**Lever:** [Specific action — e.g., \"Raise minimum ACV from $5K to $15K for new logos. Current product supports it; pricing is the constraint, not value.\"]\n\n**Impact if fixed:**\n- New payback period: [N] months\n- New LTV:CAC: [X]x\n- Revenue impact at 12 months: $[X]\n\n**Next action:** [Single specific task with owner and deadline]\n```\n\n## Delivery\n\nProduce the complete unit economics analysis. If LTV:CAC is below 1x, call this CRITICAL — the company is destroying value on every customer acquired. If below 3x, HIGH. Deliver findings as CLI summary with full analysis saved to `finance\u002Funit-economics-[date].md`.\n\nIf output exceeds the 40-line CLI budget, invoke `\u002Fatlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.\n",{"name":5,"tags":51,"author":52,"license":15,"version":53,"description":7,"allowed-tools":54,"compatibility":55},[36,30,45],"tonone-ai \u003Chello@tonone.ai>","0.1.0","Read, Bash, Glob, Grep, AskUserQuestion","Designed for Claude Code","main","d5998d31415790d88781b1eebf9bd0694f7c5d93","skills\u002Fmint-unit",11,"https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone","https:\u002F\u002Fsecond.tonone.ai","https:\u002F\u002Fgithub.com\u002Ftonone-ai","https:\u002F\u002Ftonone.ai","Founded by @thisisfatih","2026-11-11 05:05:57",{"source":8,"skillName":5,"commands":67,"prompt":77,"zipAvailable":78},[68,71,74],{"tool":69,"command":70},"npx","npx skills add tonone-ai\u002Ftonone --skill mint-unit",{"tool":72,"command":73},"bunx","bunx skills add tonone-ai\u002Ftonone --skill mint-unit",{"tool":75,"command":76},"pnpm","pnpm dlx skills add tonone-ai\u002Ftonone --skill mint-unit","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fmint-unit\u002FSKILL.md",true,[],[81,89,96,101,106,113],{"skillNo":82,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":85,"categories":86,"keywords":87,"publishedAt":88},"01M72QSK7R99K8FWYFNYTXJGR2","helm-autoplan","Chained brief-to-decision pipeline. Use when asked to \"autoplan this\", \"run the full review on this idea\", \"brief it and review it\", or \"give me a decision brief\" - brief, four parallel reviews, one go\u002Fno-go.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fhelm\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],"2026-11-10 22:39:42",{"skillNo":90,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":93,"categories":94,"keywords":95,"publishedAt":88},"01M72Q6V4CB8E877RT5KJRSSB7","apex-second-opinion","Optional cross-model review of a diff or plan through an external CLI (codex, gemini, llm) already on PATH, with redaction and per-run consent. Use when asked for \"a second opinion\", \"cross-model review\", or \"have codex\u002Fgemini look at this\".","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fteam\u002Fapex\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":97,"name":83,"nameZh":6,"description":84,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":98,"categories":99,"keywords":100,"publishedAt":88},"01M72PDNJ3NS66X4QZ6AM5BG91","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fhelm-autoplan\u002FSKILL.md",[],[],{"skillNo":102,"name":91,"nameZh":6,"description":92,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":103,"categories":104,"keywords":105,"publishedAt":88},"01M72NV58FG71X4Y7H8E6W721A","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fskills\u002Fapex-second-opinion\u002FSKILL.md",[],[],{"skillNo":107,"name":108,"nameZh":6,"description":109,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":110,"categories":111,"keywords":112,"publishedAt":88},"01M72NEBG81JH7YNSDXYT8NHHE","helm-office-hours","Forcing-function intake before any brief. Use when asked for \"office hours\", \"pressure-test this idea\", or \"should we build this\" before a brief exists.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fproduct-team\u002Fskills\u002Fhelm-office-hours\u002FSKILL.md",[],[],{"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":119,"publishedAt":88},"01M72NE7AS597YW6999C56CESR","helm-init","Short interview that writes PRODUCT.md, the durable product truth other skills read. Use when asked to \"init product\", \"write PRODUCT.md\", or \"set up product context\". Prefills from README and repo, asks max 6 questions.","https:\u002F\u002Fgithub.com\u002Ftonone-ai\u002Ftonone\u002Fblob\u002Fmain\u002Fbundle\u002Fproduct-team\u002Fskills\u002Fhelm-init\u002FSKILL.md",[],[]]