Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Calculates and benchmarks key unit economics metrics like CAC, LTV, payback period, and contribution margin with segment and scenario analysis.
Calculates and benchmarks key unit economics metrics like CAC, LTV, payback period, and contribution margin with segment and scenario analysis.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Break down your business to the numbers that actually matter. This skill calculates and benchmarks your unit economics — CAC, LTV, payback period, contribution margin — so you know exactly which customers make you money and which ones burn it.
When activated, the agent will: Calculate Core Metrics Customer Acquisition Cost (CAC) — fully loaded (ads + sales salaries + tools + overhead) Lifetime Value (LTV) — using both simple and DCF methods LTV:CAC Ratio — the single number investors care about most CAC Payback Period — months to recover acquisition spend Contribution Margin — per unit and per customer Benchmark Against Industry MetricHealthy SaaSMarketplaceE-commerceServicesLTV:CAC3:1 – 5:12:1 – 4:11.5:1 – 3:14:1 – 8:1CAC Payback12-18 mo6-12 mo1-3 mo3-6 moGross Margin70-85%40-65%30-50%50-70%Net Revenue Retention110-130%100-115%80-100%90-110% Segment Analysis Break unit economics by customer segment, channel, plan tier, geography Identify which segments are profitable and which are subsidized Flag "toxic" segments where CAC > LTV Cohort Decay Modeling Month-over-month retention curves by acquisition cohort Revenue decay rate and true LTV (not the optimistic version) Churn-adjusted LTV using: LTV = ARPU × Gross Margin / Monthly Churn Rate Scenario Planning What happens to payback if CAC increases 20%? Impact of 5% churn reduction on LTV Break-even analysis: minimum retention rate for profitability Pricing sensitivity: how price changes flow through to unit economics
Tell the agent: "Analyze my unit economics" — walks through full calculation "My CAC is $X and monthly churn is Y%" — gets specific benchmarks "Compare my SaaS unit economics to benchmarks" — industry comparison "Model what happens if we cut churn by 3%" — scenario analysis "Break down unit economics by customer segment" — segmentation
Provide what you have (the agent will estimate what's missing): Revenue side: Average Revenue Per User (ARPU) — monthly or annual Gross margin percentage Monthly or annual churn rate Expansion revenue rate (upsells, cross-sells) Cost side: Total sales & marketing spend (monthly/quarterly) New customers acquired in same period Customer success/support costs per account Onboarding costs per customer
CAC = Total Sales & Marketing Spend / New Customers Acquired LTV (Simple) = ARPU × Gross Margin% / Monthly Churn Rate LTV (DCF) = Σ (Monthly Revenue × Gross Margin%) / (1 + Discount Rate)^month LTV:CAC Ratio = LTV / CAC [Target: >3:1] Payback Period = CAC / (ARPU × Gross Margin%) [months] Contribution Margin = (Revenue - Variable Costs) / Revenue Magic Number = Net New ARR / Prior Quarter S&M Spend [Target: >0.75] Burn Multiple = Net Burn / Net New ARR [Target: <2x]
SignalThresholdActionLTV:CAC below 1:1Losing money on every customerStop acquiring, fix retention or pricingLTV:CAC below 3:1Unsustainable at scaleReduce CAC or increase retentionPayback > 24 monthsCash flow riskAccelerate monetization or cut acquisitionGross margin < 50%Service business, not softwareRe-examine delivery costsNet retention < 100%Revenue shrinking without new salesFix product-market fitCAC trending up > 15% QoQChannel saturationDiversify acquisition channelsMagic Number < 0.5Inefficient growth spendPause scaling, optimize
The agent produces: Executive Summary — 3-line verdict on business health Metrics Table — all calculated values with industry benchmarks Segment Breakdown — if data provided, per-segment P&L Scenario Matrix — sensitivity analysis on key variables Action Items — prioritized list of improvements with expected impact
This skill gives you the framework. For industry-specific unit economics benchmarks, valuation context, and implementation playbooks: → AI Agent Context Packs — $47 per industry. SaaS, Fintech, Healthcare, E-commerce, and 6 more. → AI Revenue Leak Calculator — Free. Find where your business is losing money. → Agent Setup Wizard — Free. Configure your AI agent in 5 minutes. Bundles: Pick 3 Packs — $97 (save $44) All 10 Packs — $197 (save $273) Everything Bundle — $247 (all packs + playbook + setup)
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.