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/financials

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

From plugin
agentfactory-business-plugins
2997 skills30 agents8 commands
Install
$ npx -y skills add panaversity/agentfactory-business-plugins --skill financials --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/financials

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

financials.SKILL.md
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"

CONTEXT LOADING

Before executing, check for `innov.local.md` in the working directory. If found, extract:

  • venture: name, stage, type
  • financial_model: unit_economics, current_state, milestones
  • business_model_canvas: revenue_streams, cost_structure
  • key_assumptions: business model assumptions (pricing, churn, CAC)

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."

STAGE-AWARE CALIBRATION

Check venture.stage and calibrate:

  • IDEA: Warning -- "You don't have enough data for a financial model yet. At the IDEA stage, unit economics are pure guesses. Consider running /discovery and /hypothesis first to get evidence-based inputs for your financial model."
  • DISCOVERY: Warning -- "Financial modelling at the DISCOVERY stage is early. Your pricing and CAC assumptions are untested. Proceed, but mark everything as ASSUMED and flag high uncertainty."
  • VALIDATION: Financial modelling is appropriate -- you should have some evidence from assumption tests.
  • MVP: This is your focus stage. Financial models should be grounded in pilot data.
  • GROWTH: This is your focus stage. Financial models should use measured data.

DLA PROGRESSION CHECK

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."

FINANCIAL MODELLING WORKFLOW

Task Types

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 Output Structure

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]
================================================================

Three-Scenario Model Structure

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 Warning Standard

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.

Series A Readiness Framewor

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