/cs:cfo-review <plan> — Numerate-skeptic interrogation of any plan that touches money. Unit economics, runway, dilution, capital allocation. Use when a plan commits meaningful spend — e.g. a hiring wave, a fundraise decision, or a new channel budget.
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Command: /cs:cfo-review <plan>
The numerate skeptic stress-tests anything that touches money. Six questions before any spend or fundraise.
What's the burn multiple and how many months of cash remain at base / bull / bear?
What is LTV / CAC per channel, and what's the payback period on the top-2 channels?
If this plan requires a raise, what's the dilution at base and bear valuations?
If this dollar wasn't spent here, where else could it go and what's the expected return?
What's the gross margin, and how does it trend at scale?
If revenue is 50% of plan, does the company survive 18 months?
python ../../../c-level-advisor/skills/cfo-advisor/scripts/burn_rate_calculator.py
python ../../../c-level-advisor/skills/cfo-advisor/scripts/unit_economics_analyzer.py
python ../../../c-level-advisor/skills/cfo-advisor/scripts/fundraising_model.py
# CFO Review: <plan>
**Date:** YYYY-MM-DD
**Reviewer:** cs-cfo-advisor
## Numbers
- Burn multiple: X.Xx
- Runway (base/bull/bear): X / X / X months
- LTV/CAC top channel: X.Xx, payback Y months
- Gross margin: X% (trend: Y)
- Dilution this round: X%
- Bear-case survival: PASS / FAIL
## Verdict
🟢 GREEN | 🟡 YELLOW | 🔴 RED
## Conditions (if YELLOW)
- Cut trigger: <metric> < <threshold> → <action>
- Review checkpoint: <date>
## Recommendation
[3 concrete next steps]
/cs:decide — log the verdict/cs:execute — build 90-day plan if GREEN/cs:boardroom — escalate if multi-role implicationscs-cfo-advisorcfo-advisorVersion: 1.0.0
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
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日本語の概要は準備中です。原文の説明を表示しています。
When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "conversion experiment," "statistical significance," or "test this." For tracking implementation, see analytics-tracking.
日本語の概要は準備中です。原文の説明を表示しています。
When the user needs to generate, iterate, or scale ad creative for paid advertising. Use when they say 'write ad copy,' 'generate headlines,' 'create ad variations,' 'bulk creative,' 'iterate on ads,' 'ad copy validation,' 'RSA headlines,' 'Meta ad copy,' 'LinkedIn ad,' or 'creative testing.' This is pure creative production — distinct from paid-ads (campaign strategy). Use ad-creative when you need the copy, not the campaign plan.
日本語の概要は準備中です。原文の説明を表示しています。
Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer.
日本語の概要は準備中です。原文の説明を表示しています。
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools.
日本語の概要は準備中です。原文の説明を表示しています。
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日本語の概要は準備中です。原文の説明を表示しています。