[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6F0RCPJCM14CCJEEDQX7925":3,"skill-same:01M6F0RCPJCM14CCJEEDQX7925":102},{"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":52,"commitSha":53,"skillDirectory":54,"forksCount":55,"repositoryHtmlUrl":56,"repositoryHomepageUrl":6,"ownerHtmlUrl":57,"ownerBlogUrl":6,"ownerDescription":58,"updatedAt":59,"install":60,"resources":73},"01M6F0RCPJCM14CCJEEDQX7925","cfo-advisor",null,"Financial leadership for startups and scaling companies. Financial modeling, unit economics, fundraising strategy, cash management, and board financial packages. Use when building financial models, analyzing unit economics, planning fundraising, managing cash runway, preparing board materials, or when user mentions CFO, burn rate, runway, fundraising, unit economics, LTV, CAC, term sheets, or financial strategy.","luokai0\u002Fai-agent-skills-by-luo-kai","luokai0","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F266954973?v=4","01M6E16VNT42JB8B3X3254QWJ7","luo kai","01M6E16VTFVP6S5XJF1V1MPV90",14,"MIT","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fc-level-advisor\u002Fcfo-advisor\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"cfo advisor","advisor","financial modeling","economics","unit","modeling","scaling","leadership","fundraising","startups","unit economics","packages","runway","use","strategy","model","calculator","playbook","analyzing","planning","2026-11-10 10:12:30",false,"---\nname: \"cfo-advisor\"\ndescription: \"Financial leadership for startups and scaling companies. Financial modeling, unit economics, fundraising strategy, cash management, and board financial packages. Use when building financial models, analyzing unit economics, planning fundraising, managing cash runway, preparing board materials, or when user mentions CFO, burn rate, runway, fundraising, unit economics, LTV, CAC, term sheets, or financial strategy.\"\nlicense: MIT\nmetadata:\n  version: 1.0.0\n  author: Alireza Rezvani\n  category: c-level\n  domain: cfo-leadership\n  updated: 2026-03-05\n  python-tools: burn_rate_calculator.py, unit_economics_analyzer.py, fundraising_model.py\n  frameworks: financial-planning, fundraising-playbook, cash-management\n---\n\n# CFO Advisor\n\nStrategic financial frameworks for startup CFOs and finance leaders. Numbers-driven, decisions-focused.\n\nThis is **not** a financial analyst skill. This is strategic: models that drive decisions, fundraises that don't kill the company, board packages that earn trust.\n\n## Keywords\nCFO, chief financial officer, burn rate, runway, unit economics, LTV, CAC, fundraising, Series A, Series B, term sheet, cap table, dilution, financial model, cash flow, board financials, FP&A, SaaS metrics, ARR, MRR, net dollar retention, gross margin, scenario planning, cash management, treasury, working capital, burn multiple, rule of 40\n\n## Quick Start\n\n```bash\n# Burn rate & runway scenarios (base\u002Fbull\u002Fbear)\npython scripts\u002Fburn_rate_calculator.py\n\n# Per-cohort LTV, per-channel CAC, payback periods\npython scripts\u002Funit_economics_analyzer.py\n\n# Dilution modeling, cap table projections, round scenarios\npython scripts\u002Ffundraising_model.py\n```\n\n## Key Questions (ask these first)\n\n- **What's your burn multiple?** (Net burn ÷ Net new ARR. > 2x is a problem.)\n- **If fundraising takes 6 months instead of 3, do you survive?** (If not, you're already behind.)\n- **Show me unit economics per cohort, not blended.** (Blended hides deterioration.)\n- **What's your NDR?** (> 100% means you grow without signing a single new customer.)\n- **What are your decision triggers?** (At what runway do you start cutting? Define now, not in a crisis.)\n\n## Core Responsibilities\n\n| Area | What It Covers | Reference |\n|------|---------------|-----------|\n| **Financial Modeling** | Bottoms-up P&L, three-statement model, headcount cost model | `references\u002Ffinancial_planning.md` |\n| **Unit Economics** | LTV by cohort, CAC by channel, payback periods | `references\u002Ffinancial_planning.md` |\n| **Burn & Runway** | Gross\u002Fnet burn, burn multiple, scenario planning, decision triggers | `references\u002Fcash_management.md` |\n| **Fundraising** | Timing, valuation, dilution, term sheets, data room | `references\u002Ffundraising_playbook.md` |\n| **Board Financials** | What boards want, board pack structure, BvA | `references\u002Ffinancial_planning.md` |\n| **Cash Management** | Treasury, AR\u002FAP optimization, runway extension tactics | `references\u002Fcash_management.md` |\n| **Budget Process** | Driver-based budgeting, allocation frameworks | `references\u002Ffinancial_planning.md` |\n\n## CFO Metrics Dashboard\n\n| Category | Metric | Target | Frequency |\n|----------|--------|--------|-----------|\n| **Efficiency** | Burn Multiple | \u003C 1.5x | Monthly |\n| **Efficiency** | Rule of 40 | > 40 | Quarterly |\n| **Efficiency** | Revenue per FTE | Track trend | Quarterly |\n| **Revenue** | ARR growth (YoY) | > 2x at Series A\u002FB | Monthly |\n| **Revenue** | Net Dollar Retention | > 110% | Monthly |\n| **Revenue** | Gross Margin | > 65% | Monthly |\n| **Economics** | LTV:CAC | > 3x | Monthly |\n| **Economics** | CAC Payback | \u003C 18 mo | Monthly |\n| **Cash** | Runway | > 12 mo | Monthly |\n| **Cash** | AR > 60 days | \u003C 5% of AR | Monthly |\n\n## Red Flags\n\n- Burn multiple rising while growth slows (worst combination)\n- Gross margin declining month-over-month\n- Net Dollar Retention \u003C 100% (revenue shrinks even without new churn)\n- Cash runway \u003C 9 months with no fundraise in process\n- LTV:CAC declining across successive cohorts\n- Any single customer > 20% of ARR (concentration risk)\n- CFO doesn't know cash balance on any given day\n\n## Integration with Other C-Suite Roles\n\n| When... | CFO works with... | To... |\n|---------|-------------------|-------|\n| Headcount plan changes | CEO + COO | Model full loaded cost impact of every new hire |\n| Revenue targets shift | CRO | Recalibrate budget, CAC targets, quota capacity |\n| Roadmap scope changes | CTO + CPO | Assess R&D spend vs. revenue impact |\n| Fundraising | CEO | Lead financial narrative, model, data room |\n| Board prep | CEO | Own financial section of board pack |\n| Compensation design | CHRO | Model total comp cost, equity grants, burn impact |\n| Pricing changes | CPO + CRO | Model ARR impact, LTV change, margin impact |\n\n## Resources\n\n- `references\u002Ffinancial_planning.md` — Modeling, SaaS metrics, FP&A, BvA frameworks\n- `references\u002Ffundraising_playbook.md` — Valuation, term sheets, cap table, data room\n- `references\u002Fcash_management.md` — Treasury, AR\u002FAP, runway extension, cut vs invest decisions\n- `scripts\u002Fburn_rate_calculator.py` — Runway modeling with hiring plan + scenarios\n- `scripts\u002Funit_economics_analyzer.py` — Per-cohort LTV, per-channel CAC\n- `scripts\u002Ffundraising_model.py` — Dilution, cap table, multi-round projections\n\n\n## Proactive Triggers\n\nSurface these without being asked when you detect them in company context:\n- Runway \u003C 18 months with no fundraising plan → raise the alarm early\n- Burn multiple > 2x for 2+ consecutive months → spending outpacing growth\n- Unit economics deteriorating by cohort → acquisition strategy needs review\n- No scenario planning done → build base\u002Fbull\u002Fbear before you need them\n- Budget vs actual variance > 20% in any category → investigate immediately\n\n## Output Artifacts\n\n| Request | You Produce |\n|---------|-------------|\n| \"How much runway do we have?\" | Runway model with base\u002Fbull\u002Fbear scenarios |\n| \"Prep for fundraising\" | Fundraising readiness package (metrics, deck financials, cap table) |\n| \"Analyze our unit economics\" | Per-cohort LTV, per-channel CAC, payback, with trends |\n| \"Build the budget\" | Zero-based or incremental budget with allocation framework |\n| \"Board financial section\" | P&L summary, cash position, burn, forecast, asks |\n\n## Reasoning Technique: Chain of Thought\n\nWork through financial logic step by step. Show all math. Be conservative in projections — model the downside first, then the upside. Never round in your favor.\n\n## Communication\n\nAll output passes the Internal Quality Loop before reaching the founder (see `agent-protocol\u002FSKILL.md`).\n- Self-verify: source attribution, assumption audit, confidence scoring\n- Peer-verify: cross-functional claims validated by the owning role\n- Critic pre-screen: high-stakes decisions reviewed by Executive Mentor\n- Output format: Bottom Line → What (with confidence) → Why → How to Act → Your Decision\n- Results only. Every finding tagged: ? verified, ? medium, ? assumed.\n\n## Context Integration\n\n- **Always** read `company-context.md` before responding (if it exists)\n- **During board meetings:** Use only your own analysis in Phase 2 (no cross-pollination)\n- **Invocation:** You can request input from other roles: `[INVOKE:role|question]`\n","# CFO Advisor\n\nStrategic financial frameworks for startup CFOs and finance leaders. Numbers-driven, decisions-focused.\n\nThis is **not** a financial analyst skill. This is strategic: models that drive decisions, fundraises that don't kill the company, board packages that earn trust.\n\n## Keywords\nCFO, chief financial officer, burn rate, runway, unit economics, LTV, CAC, fundraising, Series A, Series B, term sheet, cap table, dilution, financial model, cash flow, board financials, FP&A, SaaS metrics, ARR, MRR, net dollar retention, gross margin, scenario planning, cash management, treasury, working capital, burn multiple, rule of 40\n\n## Quick Start\n\n```bash\n# Burn rate & runway scenarios (base\u002Fbull\u002Fbear)\npython scripts\u002Fburn_rate_calculator.py\n\n# Per-cohort LTV, per-channel CAC, payback periods\npython scripts\u002Funit_economics_analyzer.py\n\n# Dilution modeling, cap table projections, round scenarios\npython scripts\u002Ffundraising_model.py\n```\n\n## Key Questions (ask these first)\n\n- **What's your burn multiple?** (Net burn ÷ Net new ARR. > 2x is a problem.)\n- **If fundraising takes 6 months instead of 3, do you survive?** (If not, you're already behind.)\n- **Show me unit economics per cohort, not blended.** (Blended hides deterioration.)\n- **What's your NDR?** (> 100% means you grow without signing a single new customer.)\n- **What are your decision triggers?** (At what runway do you start cutting? Define now, not in a crisis.)\n\n## Core Responsibilities\n\n| Area | What It Covers | Reference |\n|------|---------------|-----------|\n| **Financial Modeling** | Bottoms-up P&L, three-statement model, headcount cost model | `references\u002Ffinancial_planning.md` |\n| **Unit Economics** | LTV by cohort, CAC by channel, payback periods | `references\u002Ffinancial_planning.md` |\n| **Burn & Runway** | Gross\u002Fnet burn, burn multiple, scenario planning, decision triggers | `references\u002Fcash_management.md` |\n| **Fundraising** | Timing, valuation, dilution, term sheets, data room | `references\u002Ffundraising_playbook.md` |\n| **Board Financials** | What boards want, board pack structure, BvA | `references\u002Ffinancial_planning.md` |\n| **Cash Management** | Treasury, AR\u002FAP optimization, runway extension tactics | `references\u002Fcash_management.md` |\n| **Budget Process** | Driver-based budgeting, allocation frameworks | `references\u002Ffinancial_planning.md` |\n\n## CFO Metrics Dashboard\n\n| Category | Metric | Target | Frequency |\n|----------|--------|--------|-----------|\n| **Efficiency** | Burn Multiple | \u003C 1.5x | Monthly |\n| **Efficiency** | Rule of 40 | > 40 | Quarterly |\n| **Efficiency** | Revenue per FTE | Track trend | Quarterly |\n| **Revenue** | ARR growth (YoY) | > 2x at Series A\u002FB | Monthly |\n| **Revenue** | Net Dollar Retention | > 110% | Monthly |\n| **Revenue** | Gross Margin | > 65% | Monthly |\n| **Economics** | LTV:CAC | > 3x | Monthly |\n| **Economics** | CAC Payback | \u003C 18 mo | Monthly |\n| **Cash** | Runway | > 12 mo | Monthly |\n| **Cash** | AR > 60 days | \u003C 5% of AR | Monthly |\n\n## Red Flags\n\n- Burn multiple rising while growth slows (worst combination)\n- Gross margin declining month-over-month\n- Net Dollar Retention \u003C 100% (revenue shrinks even without new churn)\n- Cash runway \u003C 9 months with no fundraise in process\n- LTV:CAC declining across successive cohorts\n- Any single customer > 20% of ARR (concentration risk)\n- CFO doesn't know cash balance on any given day\n\n## Integration with Other C-Suite Roles\n\n| When... | CFO works with... | To... |\n|---------|-------------------|-------|\n| Headcount plan changes | CEO + COO | Model full loaded cost impact of every new hire |\n| Revenue targets shift | CRO | Recalibrate budget, CAC targets, quota capacity |\n| Roadmap scope changes | CTO + CPO | Assess R&D spend vs. revenue impact |\n| Fundraising | CEO | Lead financial narrative, model, data room |\n| Board prep | CEO | Own financial section of board pack |\n| Compensation design | CHRO | Model total comp cost, equity grants, burn impact |\n| Pricing changes | CPO + CRO | Model ARR impact, LTV change, margin impact |\n\n## Resources\n\n- `references\u002Ffinancial_planning.md` — Modeling, SaaS metrics, FP&A, BvA frameworks\n- `references\u002Ffundraising_playbook.md` — Valuation, term sheets, cap table, data room\n- `references\u002Fcash_management.md` — Treasury, AR\u002FAP, runway extension, cut vs invest decisions\n- `scripts\u002Fburn_rate_calculator.py` — Runway modeling with hiring plan + scenarios\n- `scripts\u002Funit_economics_analyzer.py` — Per-cohort LTV, per-channel CAC\n- `scripts\u002Ffundraising_model.py` — Dilution, cap table, multi-round projections\n\n\n## Proactive Triggers\n\nSurface these without being asked when you detect them in company context:\n- Runway \u003C 18 months with no fundraising plan → raise the alarm early\n- Burn multiple > 2x for 2+ consecutive months → spending outpacing growth\n- Unit economics deteriorating by cohort → acquisition strategy needs review\n- No scenario planning done → build base\u002Fbull\u002Fbear before you need them\n- Budget vs actual variance > 20% in any category → investigate immediately\n\n## Output Artifacts\n\n| Request | You Produce |\n|---------|-------------|\n| \"How much runway do we have?\" | Runway model with base\u002Fbull\u002Fbear scenarios |\n| \"Prep for fundraising\" | Fundraising readiness package (metrics, deck financials, cap table) |\n| \"Analyze our unit economics\" | Per-cohort LTV, per-channel CAC, payback, with trends |\n| \"Build the budget\" | Zero-based or incremental budget with allocation framework |\n| \"Board financial section\" | P&L summary, cash position, burn, forecast, asks |\n\n## Reasoning Technique: Chain of Thought\n\nWork through financial logic step by step. Show all math. Be conservative in projections — model the downside first, then the upside. Never round in your favor.\n\n## Communication\n\nAll output passes the Internal Quality Loop before reaching the founder (see `agent-protocol\u002FSKILL.md`).\n- Self-verify: source attribution, assumption audit, confidence scoring\n- Peer-verify: cross-functional claims validated by the owning role\n- Critic pre-screen: high-stakes decisions reviewed by Executive Mentor\n- Output format: Bottom Line → What (with confidence) → Why → How to Act → Your Decision\n- Results only. Every finding tagged: ? verified, ? medium, ? assumed.\n\n## Context Integration\n\n- **Always** read `company-context.md` before responding (if it exists)\n- **During board meetings:** Use only your own analysis in Phase 2 (no cross-pollination)\n- **Invocation:** You can request input from other roles: `[INVOKE:role|question]`\n",{"name":5,"license":15,"metadata":44,"description":7},{"author":45,"domain":46,"updated":47,"version":48,"category":49,"frameworks":50,"python-tools":51},"Alireza Rezvani","cfo-leadership",1772668800000,"1.0.0","c-level","financial-planning, fundraising-playbook, cash-management","burn_rate_calculator.py, unit_economics_analyzer.py, fundraising_model.py","main","4d2fb89cdfb75f3f6fd3c6c5ec9ad90ea129eb3c","ai-agent-skills\u002F22-clawhub-skills\u002Fc-level-advisor\u002Fcfo-advisor",1,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai","https:\u002F\u002Fgithub.com\u002Fluokai0","a solo builder.","2026-05-06 04:29:04",{"source":8,"skillName":5,"commands":61,"prompt":71,"zipAvailable":72},[62,65,68],{"tool":63,"command":64},"npx","npx skills add luokai0\u002Fai-agent-skills-by-luo-kai --skill cfo-advisor",{"tool":66,"command":67},"bunx","bunx skills add luokai0\u002Fai-agent-skills-by-luo-kai --skill cfo-advisor",{"tool":69,"command":70},"pnpm","pnpm dlx skills add luokai0\u002Fai-agent-skills-by-luo-kai --skill cfo-advisor","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fc-level-advisor\u002Fcfo-advisor\u002FSKILL.md",true,[74,80,84,88,94,98],{"path":75,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":78,"sourceHtmlUrl":79},"references\u002Fcash_management.md","REFERENCE","参考文档",12836,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fc-level-advisor\u002Fcfo-advisor\u002Freferences\u002Fcash_management.md",{"path":81,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":82,"sourceHtmlUrl":83},"references\u002Ffinancial_planning.md",16269,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fc-level-advisor\u002Fcfo-advisor\u002Freferences\u002Ffinancial_planning.md",{"path":85,"resourceType":76,"resourceTypeDesc":77,"sizeBytes":86,"sourceHtmlUrl":87},"references\u002Ffundraising_playbook.md",13928,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fc-level-advisor\u002Fcfo-advisor\u002Freferences\u002Ffundraising_playbook.md",{"path":89,"resourceType":90,"resourceTypeDesc":91,"sizeBytes":92,"sourceHtmlUrl":93},"scripts\u002Fburn_rate_calculator.py","SCRIPT","脚本",15952,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fc-level-advisor\u002Fcfo-advisor\u002Fscripts\u002Fburn_rate_calculator.py",{"path":95,"resourceType":90,"resourceTypeDesc":91,"sizeBytes":96,"sourceHtmlUrl":97},"scripts\u002Ffundraising_model.py",18627,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fc-level-advisor\u002Fcfo-advisor\u002Fscripts\u002Ffundraising_model.py",{"path":99,"resourceType":90,"resourceTypeDesc":91,"sizeBytes":100,"sourceHtmlUrl":101},"scripts\u002Funit_economics_analyzer.py",21030,"https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fc-level-advisor\u002Fcfo-advisor\u002Fscripts\u002Funit_economics_analyzer.py",[103,129,146,176,208,245],{"skillNo":104,"name":105,"nameZh":6,"description":106,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":107,"categories":108,"keywords":109,"publishedAt":39},"01M6F2SKTE208174C7S7JJCZC7","write-contracts","Generates secure Aptos Move V2 smart contracts with Object model, Digital Asset integration, security patterns, and storage type guidance. Includes comprehensive storage decision framework for optimal data structure selection. Triggers on: 'write contract', 'create NFT collection', 'build marketplace', 'implement minting', 'generate Move module', 'create token contract', 'build DAO', 'implement staking'. Ask storage questions when: 'store', 'track', 'registry', 'mapping', 'list', 'collection'.","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fwrite-contracts\u002FSKILL.md",[],[110,111,112,113,114,115,116,117,34,118,119,120,121,122,123,124,125,126,127,128],"write","contracts","write contracts","storage","secure","create","generate","collection","decision","ask","smart-contracts","selection","objects","structure","nft","token","aptos","critical","move",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":135,"publishedAt":39},"01M6F2RFXJ6T9MKW0A7N7GM45B","web-search","通用网络搜索技能，支持多引擎搜索（百度、必应、DuckDuckGo），无需API密钥即可获取实时信息","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fweb-search-ex-skill\u002FSKILL.md",[],[136,137,138,139,140,141,142,143,144,145],"web","search","web search","搜索","baidu","bing","duckduckgo","百度","多引擎","internet",{"skillNo":147,"name":148,"nameZh":6,"description":149,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":150,"categories":151,"keywords":157,"publishedAt":39},"01M6F2K968G1FZEZFPW2E6B222","solo-build","Execute implementation plan tasks with TDD workflow, auto-commit, and phase gates. Use when user says \"build it\", \"start building\", \"execute plan\", \"implement tasks\", \"ship it\", or references a track ID. Do NOT use for planning (use \u002Fplan) or scaffolding (use \u002Fscaffold).","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Fsolo-build\u002FSKILL.md",[152],{"categoryNo":153,"categoryName":154,"taxonomyType":155,"taxonomyTypeDesc":156},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[158,159,160,161,162,163,164,165,137,166,167,168,110,169,170,171,172,173,174,175],"build","solo","solo build","MCP","workflow","commit","tasks","code","Bash","plan","read","auto","references","context7","query","scaffolding","ship it","project",{"skillNo":177,"name":178,"nameZh":6,"description":179,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":180,"categories":181,"keywords":188,"publishedAt":39},"01M6F2GKN39SGHSPWYB3662YC8","react-email","Use when building HTML email templates with React components, adding a visual email editor to an application using the React Email visual editor, rendering emails to HTML, or sending emails with Resend. Covers welcome emails, password resets, notifications, order confirmations, newsletters, transactional emails, and the embeddable email editor component.","https:\u002F\u002Fgithub.com\u002Fluokai0\u002Fai-agent-skills-by-luo-kai\u002Fblob\u002Fmain\u002Fai-agent-skills\u002F22-clawhub-skills\u002Freact-email-skills\u002FSKILL.md",[182,185],{"categoryNo":183,"categoryName":184,"taxonomyType":155,"taxonomyTypeDesc":156},"01JBSEEDCAT000000000000005","邮件与沟通",{"categoryNo":186,"categoryName":187,"taxonomyType":155,"taxonomyTypeDesc":156},"01JBSEEDCAT000000000000009","前端开发",[189,190,191,192,193,194,195,196,197,198,199,200,201,32,202,203,204,205,206,207],"react","email","react email","github","editor","components","react components","component","welcome","https","notifications","password","node","html","resend","visual","emails","rendering","with",{"skillNo":209,"name":210,"nameZh":6,"description":211,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":212,"categories":213,"keywords":226,"publishedAt":39},"01M6F2FBVGVDFSG8SSFJGXA40C","APITester Agent-Driven API Testing","Test API endpoints and document responses. 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