c-level-advisor/c-level-agents/skills/cfo-review/SKILL.md
/cs:cfo-review <plan> — Numerate-skeptic interrogation of any plan that touches money. Unit economics, runway, dilution, capital allocation.
npx skillsauth add alirezarezvani/claude-skills cfo-reviewInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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 ../../../skills/cfo-advisor/scripts/burn_rate_calculator.py
python ../../../skills/cfo-advisor/scripts/unit_economics_analyzer.py
python ../../../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
tools
Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#, .NET, Java, C, C++, Rust, Ruby, PHP, and Dart/Flutter. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.
tools
Use when planning, funding, scoping, or synthesizing enterprise research across workstreams — clinical study design, R&D program finance, market sizing/surveys, or product/user research. Triggers on "design this clinical study", "what sample size", "R&D budget", "burn rate", "capitalize or expense", "TAM SAM SOM", "market sizing", "survey design", "segment the market", "plan user interviews", "usability test", "synthesize research insights". Forks context to route to one of four Research-Operations sub-skills (clinical-research, research-finance, market-research, product-research) and returns a digest. Distinct from ra-qm-team (regulatory submission), finance (corporate close/valuation), research/grants (funding discovery), product-team (persona/journey/live experiments), and marketing-skill (campaign analytics).
development
Use when managing the money for an internal R&D program or portfolio — building a multi-period program budget with the F&A (indirect) split, tracking burn rate and runway against value-inflection milestones, or routing R&D cost items to a capitalize-vs-expense determination. Every budget output surfaces its assumptions block; capitalize-vs-expense is decision-support only and routes to a named finance owner — it never books an entry or decides accounting treatment. Distinct from finance/financial-analysis (corporate DCF, close, valuation) and research/grants (funding discovery — this manages money already won).
development
Use when planning and synthesizing product/user research as a method-and-repository discipline — selecting the right method for the goal (generative interviews vs usability test vs concept test vs validation), computing method-based saturation/sample size with an explicit confidence level, or synthesizing coded observations into insights while flagging single-source anecdotes. Never fabricates user insight; an insight requires recurrence across independent participants. Distinct from product-team/ux-researcher-designer (persona/journey artifacts), product-discovery (discovery-sprint planning), and experiment-designer (live A/B) — this is the research-ops method + insight-repository layer.