skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from…
Activate for: unit economics, CAC, LTV, customer acquisition cost, lifetime value, payback period, churn, gross margin, breakeven, runway, burn rate, MRR, ARR, monthly recurring revenue, annual recurring revenue, financial model, revenue model, revenue projections, fundraising
Claude Code
$ npx -y skills add panaversity/agentfactory-business-plugins --skill financials --agent claude-code
Codex
$ npx skills add panaversity/agentfactory-business-plugins --skill financials -a codex -y
Cursor
$ npx skills add panaversity/agentfactory-business-plugins --skill financials -a cursor -y
Gemini CLI
$ npx skills add panaversity/agentfactory-business-plugins --skill financials -a gemini-cli -y
GitHub Copilot
$ npx skills add panaversity/agentfactory-business-plugins --skill financials -a github-copilot -y
OpenCode
$ npx skills add panaversity/agentfactory-business-plugins --skill financials -a opencode -y
Windsurf
$ npx skills add panaversity/agentfactory-business-plugins --skill financials -a windsurf -y
name: financials description: > Activate for: unit economics, CAC, LTV, customer acquisition cost, lifetime value, payback period, churn, gross margin, breakeven, runway, burn rate, MRR, ARR, monthly recurring revenue, annual recurring revenue, financial model, revenue model, revenue projections, fundraising model, scenario analysis, sensitivity analysis, how much money do I need, how long will the money last, how many customers to break even, what are my unit economics, Series A readiness. NOT for: business model canvas (use canvas), pitch deck (use pitch), competitive analysis (use market). license: Apache-2.0 metadata: author: Panaversity version: "1.0" plugin-commands: "/financials"
Before executing, check for `innov.local.md` in the working directory. If found, extract:
If `innov.local.md` is not found: Continue with conversation context. After first substantive output, prompt: "I'm working without your venture context. Run Exercise 8 from Chapter 40 to build innov.local.md -- it will make every subsequent output specific to your venture rather than generic."
Check venture.stage and calibrate:
If venture.stage is IDEA or DISCOVERY and no validated pricing or customer data exists: "You are building a financial model on assumed inputs. The outputs will look precise but are unreliable. Focus on validating your pricing assumption and CAC before investing time in detailed financial models."
TYPE 1: UNIT ECONOMICS Input: Pricing; CAC inputs; churn assumption; gross margin Output: CAC, LTV, LTV:CAC, payback period, contribution margin, breakeven count
TYPE 2: REVENUE AND RUNWAY MODEL Input: Starting conditions + growth assumptions Output: Month-by-month model (3 scenarios); breakeven date; fundraising trigger
TYPE 3: FUNDRAISING MODEL Input: Raise amount; current state; milestones Output: What the capital buys; Series A readiness criteria; valuation framework
TYPE 4: SENSITIVITY ANALYSIS Input: Base model + key variable ranges Output: How breakeven and runway shift under pessimistic assumptions
TYPE 5: SERIES A READINESS ASSESSMENT Input: Current metrics Output: What metrics Series A investors expect; gap analysis; timeline to readiness
UNIT ECONOMICS MODEL Venture: [Name] | Currency: [USD / local] | Date: [Date] ================================================================ CUSTOMER ACQUISITION COST (CAC): [Method: list all cost inputs and calculation] Founder-led CAC: [Amount] (artificially low -- founder not at market rate) Sustainable CAC: [Amount] (use market-rate founder + any marketing spend) [Note: use Sustainable CAC for all planning; Founder-led CAC understates true cost] LIFETIME VALUE (LTV): MRR per customer: [Amount] Annual churn: [%] (ASSUMED / MEASURED -- specify) Average lifetime: [1 / churn rate = years] LTV (gross revenue): [MRR x 12 x lifetime] Gross margin: [%] LTV (gross profit): [LTV x gross margin] [WARNING: If churn is assumed, LTV is unreliable. Validate churn at Month 12.] KEY RATIOS: LTV:CAC ratio: [LTV / CAC] -- [assessment: <3 poor; 3-5 acceptable; >5 strong; >10 exceptional] CAC payback: [CAC / monthly contribution = months] Contribution margin: [Revenue - variable cost = $ and %] CASH FLOW BREAKEVEN: Monthly fixed costs: [List major items + total] Contribution/customer: [Monthly revenue x gross margin] Breakeven customer N: [Fixed costs / contribution per customer] Timeline to breakeven: [At current acquisition pace] KEY WARNINGS: [Flag any assumption that is not yet measured] [Flag any assumption where a 2x error would change the business viability] ================================================================
SCENARIO LABELS: BASE: Your realistic expectation CONSERVATIVE: Half the growth; 1.5x the churn; 20% higher CAC OPTIMISTIC: 1.5x the growth; half the churn; 20% lower CAC
FOR EACH SCENARIO, SHOW MONTH BY MONTH: New customers this month | Churned customers | Total customers MRR | Monthly burn | Net cash flow | Cumulative cash balance Runway remaining (months at current burn)
MARK ON THE MODEL: Breakeven date (MRR contribution >= burn) Fundraising trigger point (runway < 6 months) Series A readiness (target ARR milestone)
Churn is the most dangerous assumption in SaaS financial models. At 10% annual churn: average lifetime = 10 years; LTV = 10x ARPU x margin At 40% annual churn: average lifetime = 2.5 years; LTV = 2.5x ARPU x margin
A 4x difference in churn produces a 4x difference in LTV. If churn is assumed (not measured), flag the model as: HIGH UNCERTAINTY -- churn assumption is [X]%, not yet measured. Model validity depends heavily on this assumption. Validate at Month 12.
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