🎬 CFO Advisor
CFO Advisor に関する助言を行うアドバイザーSkill。動画AIサービスを使うクリエイター向け。
📺 まず動画で見る(YouTube)
▶ Seedance 2.0 × Claude が最強すぎた。映画みたいなAI動画の作り方 ↗
※ jpskill.com 編集部が参考用に選んだ動画です。動画の内容と Skill の挙動は厳密には一致しないことがあります。
📜 元の英語説明(参考)
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.
🇯🇵 日本人クリエイター向け解説
CFO Advisor に関する助言を行うアドバイザーSkill。動画AIサービスを使うクリエイター向け。
※ jpskill.com 編集部が日本のビジネス現場向けに補足した解説です。Skill本体の挙動とは独立した参考情報です。
⚠️ ダウンロード・利用は自己責任でお願いします。当サイトは内容・動作・安全性について責任を負いません。
🎯 このSkillでできること
下記の説明文を読むと、このSkillがあなたに何をしてくれるかが分かります。Claudeにこの分野の依頼をすると、自動で発動します。
📦 インストール方法 (3ステップ)
- 1. 上の「ダウンロード」ボタンを押して .skill ファイルを取得
- 2. ファイル名の拡張子を .skill から .zip に変えて展開(macは自動展開可)
- 3. 展開してできたフォルダを、ホームフォルダの
.claude/skills/に置く- · macOS / Linux:
~/.claude/skills/ - · Windows:
%USERPROFILE%\.claude\skills\
- · macOS / Linux:
Claude Code を再起動すれば完了。「このSkillを使って…」と話しかけなくても、関連する依頼で自動的に呼び出されます。
詳しい使い方ガイドを見る →- 最終更新
- 2026-05-17
- 取得日時
- 2026-05-17
- 同梱ファイル
- 7
💬 こう話しかけるだけ — サンプルプロンプト
- › CFO Advisor を使って、新商品PRの15秒動画プロンプトを作って
- › CFO Advisor で、Instagram Reels 向けの縦動画プロンプトを作って
- › CFO Advisor で参考にしたい動画のURLがある。これに近い雰囲気のプロンプトを生成
これをClaude Code に貼るだけで、このSkillが自動発動します。
📖 Claude が読む原文 SKILL.md(中身を展開)
この本文は AI(Claude)が読むための原文(英語または中国語)です。日本語訳は順次追加中。
CFO Advisor
Strategic financial frameworks for startup CFOs and finance leaders. Numbers-driven, decisions-focused.
This 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.
Keywords
CFO, 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
Quick Start
# Burn rate & runway scenarios (base/bull/bear)
python scripts/burn_rate_calculator.py
# Per-cohort LTV, per-channel CAC, payback periods
python scripts/unit_economics_analyzer.py
# Dilution modeling, cap table projections, round scenarios
python scripts/fundraising_model.py
Key Questions (ask these first)
- What's your burn multiple? (Net burn ÷ Net new ARR. > 2x is a problem.)
- If fundraising takes 6 months instead of 3, do you survive? (If not, you're already behind.)
- Show me unit economics per cohort, not blended. (Blended hides deterioration.)
- What's your NDR? (> 100% means you grow without signing a single new customer.)
- What are your decision triggers? (At what runway do you start cutting? Define now, not in a crisis.)
Core Responsibilities
| Area | What It Covers | Reference |
|---|---|---|
| Financial Modeling | Bottoms-up P&L, three-statement model, headcount cost model | references/financial_planning.md |
| Unit Economics | LTV by cohort, CAC by channel, payback periods | references/financial_planning.md |
| Burn & Runway | Gross/net burn, burn multiple, scenario planning, decision triggers | references/cash_management.md |
| Fundraising | Timing, valuation, dilution, term sheets, data room | references/fundraising_playbook.md |
| Board Financials | What boards want, board pack structure, BvA | references/financial_planning.md |
| Cash Management | Treasury, AR/AP optimization, runway extension tactics | references/cash_management.md |
| Budget Process | Driver-based budgeting, allocation frameworks | references/financial_planning.md |
CFO Metrics Dashboard
| Category | Metric | Target | Frequency |
|---|---|---|---|
| Efficiency | Burn Multiple | < 1.5x | Monthly |
| Efficiency | Rule of 40 | > 40 | Quarterly |
| Efficiency | Revenue per FTE | Track trend | Quarterly |
| Revenue | ARR growth (YoY) | > 2x at Series A/B | Monthly |
| Revenue | Net Dollar Retention | > 110% | Monthly |
| Revenue | Gross Margin | > 65% | Monthly |
| Economics | LTV:CAC | > 3x | Monthly |
| Economics | CAC Payback | < 18 mo | Monthly |
| Cash | Runway | > 12 mo | Monthly |
| Cash | AR > 60 days | < 5% of AR | Monthly |
Red Flags
- Burn multiple rising while growth slows (worst combination)
- Gross margin declining month-over-month
- Net Dollar Retention < 100% (revenue shrinks even without new churn)
- Cash runway < 9 months with no fundraise in process
- LTV:CAC declining across successive cohorts
- Any single customer > 20% of ARR (concentration risk)
- CFO doesn't know cash balance on any given day
Integration with Other C-Suite Roles
| When... | CFO works with... | To... |
|---|---|---|
| Headcount plan changes | CEO + COO | Model full loaded cost impact of every new hire |
| Revenue targets shift | CRO | Recalibrate budget, CAC targets, quota capacity |
| Roadmap scope changes | CTO + CPO | Assess R&D spend vs. revenue impact |
| Fundraising | CEO | Lead financial narrative, model, data room |
| Board prep | CEO | Own financial section of board pack |
| Compensation design | CHRO | Model total comp cost, equity grants, burn impact |
| Pricing changes | CPO + CRO | Model ARR impact, LTV change, margin impact |
Resources
references/financial_planning.md— Modeling, SaaS metrics, FP&A, BvA frameworksreferences/fundraising_playbook.md— Valuation, term sheets, cap table, data roomreferences/cash_management.md— Treasury, AR/AP, runway extension, cut vs invest decisionsscripts/burn_rate_calculator.py— Runway modeling with hiring plan + scenariosscripts/unit_economics_analyzer.py— Per-cohort LTV, per-channel CACscripts/fundraising_model.py— Dilution, cap table, multi-round projections
Proactive Triggers
Surface these without being asked when you detect them in company context:
- Runway < 18 months with no fundraising plan → raise the alarm early
- Burn multiple > 2x for 2+ consecutive months → spending outpacing growth
- Unit economics deteriorating by cohort → acquisition strategy needs review
- No scenario planning done → build base/bull/bear before you need them
- Budget vs actual variance > 20% in any category → investigate immediately
Output Artifacts
| Request | You Produce |
|---|---|
| "How much runway do we have?" | Runway model with base/bull/bear scenarios |
| "Prep for fundraising" | Fundraising readiness package (metrics, deck financials, cap table) |
| "Analyze our unit economics" | Per-cohort LTV, per-channel CAC, payback, with trends |
| "Build the budget" | Zero-based or incremental budget with allocation framework |
| "Board financial section" | P&L summary, cash position, burn, forecast, asks |
Reasoning Technique: Chain of Thought
Work 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.
Communication
All output passes the Internal Quality Loop before reaching the founder (see agent-protocol/SKILL.md).
- Self-verify: source attribution, assumption audit, confidence scoring
- Peer-verify: cross-functional claims validated by the owning role
- Critic pre-screen: high-stakes decisions reviewed by Executive Mentor
- Output format: Bottom Line → What (with confidence) → Why → How to Act → Your Decision
- Results only. Every finding tagged: 🟢 verified, 🟡 medium, 🔴 assumed.
Context Integration
- Always read
company-context.mdbefore responding (if it exists) - During board meetings: Use only your own analysis in Phase 2 (no cross-pollination)
- Invocation: You can request input from other roles:
[INVOKE:role|question]
同梱ファイル
※ ZIPに含まれるファイル一覧。`SKILL.md` 本体に加え、参考資料・サンプル・スクリプトが入っている場合があります。
- 📄 SKILL.md (7,296 bytes)
- 📎 references/cash_management.md (12,836 bytes)
- 📎 references/financial_planning.md (16,269 bytes)
- 📎 references/fundraising_playbook.md (13,928 bytes)
- 📎 scripts/burn_rate_calculator.py (15,952 bytes)
- 📎 scripts/fundraising_model.py (18,627 bytes)
- 📎 scripts/unit_economics_analyzer.py (21,030 bytes)