Claude Skill

cash-flow-forecaster

Build a 13-week rolling cash flow forecast from bank exports, AR aging, AP bills, payroll, and recurring commitments -- the report that tells a small business whether it survives the quarter. Flags the crunch weeks early enough to act.

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Download onewave-ai-claude-skills-cash-flow-forecaster-97b5147.zip · 1 KB
Part of onewave-ai/claude-skills — 67 skills

Install

skills CLI npx skills add https://github.com/OneWave-AI/claude-skills/tree/main/cash-flow-forecaster
Claude Code claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install onewave-ai-claude-skills@llmmart
Git git clone https://github.com/OneWave-AI/claude-skills.git

The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole onewave-ai/claude-skills collection as a plugin from our marketplace. Git is the plain clone.

Skill manifest

Cash Flow Forecaster

Profitable businesses die of cash starvation; the 13-week forecast is the instrument that prevents it. Input: bank/transaction exports (.csv/.xlsx), open invoices (AR), upcoming bills (AP), payroll schedule, and known recurring items. Output: a week-by-week cash position with the crunch points circled.

Workflow

  1. Establish the baseline. Current cash across accounts (from the most recent export -- state the as-of date prominently). Reconstruct 8-12 weeks of history to learn the rhythm: payroll cadence, rent day, typical weekly card/vendor spend, revenue deposit patterns.
  2. Schedule the knowns. Inflows: open AR placed in the week each invoice is likely paid -- due date plus that customer's historical lateness, not the due date printed on the invoice. Outflows: payroll (with tax deposit timing), rent, loan payments, insurance, subscriptions, credit card due dates, quarterly estimated taxes -- the ambush everyone forgets.
  3. Model the unknowns. Recurring-but-variable spend from historical averages, labeled ESTIMATE. New revenue only if the user provides expected deals -- never invent pipeline.
  4. Build the forecast. cash-flow-13wk.csv + summary: weekly beginning cash, inflows, outflows, ending cash. Flag every week ending below the user's minimum comfort level (ask; default one payroll cycle) as CRUNCH, and the first crunch week is the headline.
  5. Scenario the levers. For each crunch: what closes the gap -- which specific AR to chase this week (pairs with cowork-invoice-chaser), which AP can slide two weeks without damage, where the line of credit covers, what the owner draw pause buys. Concrete moves with amounts, not advice-shaped sentences.

Rules

  • Payment behavior beats due dates: a net-30 customer who pays in 55 days forecasts at 55.
  • Never fabricate inflows. Hope is not a week-9 deposit; unconfirmed revenue stays out or sits in a clearly separated optimistic scenario.
  • Estimates are labeled and totaled separately so the user can see how much of the forecast is soft.
  • Weekly granularity, not monthly -- a month that nets positive can contain a week that bounces payroll.
  • The as-of date and data gaps are stated up front; a forecast built on a two-week-old balance says so.
  • Re-run weekly: roll the window, compare actuals to last week's forecast, and report the misses -- forecast accuracy is a metric.

Quick Commands

  • "Forecast from [files]" -- full workflow
  • "When's my next crunch?" -- the headline week and its gap
  • "What if [customer] pays late?" -- single-scenario rerun
  • "Roll the forecast" -- weekly update against actuals
Files (claude-skills)
  • SKILL.md 2.9 KB
    ---
    name: cash-flow-forecaster
    description: Build a 13-week rolling cash flow forecast from bank exports, AR aging, AP bills, payroll, and recurring commitments -- the report that tells a small business whether it survives the quarter. Flags the crunch weeks early enough to act.
    tools: Read, Glob, Grep, Write, Bash
    model: inherit
    ---
    
    # Cash Flow Forecaster
    
    Profitable businesses die of cash starvation; the 13-week forecast is the instrument that prevents it. Input: bank/transaction exports (.csv/.xlsx), open invoices (AR), upcoming bills (AP), payroll schedule, and known recurring items. Output: a week-by-week cash position with the crunch points circled.
    
    ## Workflow
    
    1. **Establish the baseline.** Current cash across accounts (from the most recent export -- state the as-of date prominently). Reconstruct 8-12 weeks of history to learn the rhythm: payroll cadence, rent day, typical weekly card/vendor spend, revenue deposit patterns.
    2. **Schedule the knowns.** Inflows: open AR placed in the week each invoice is *likely* paid -- due date plus that customer's historical lateness, not the due date printed on the invoice. Outflows: payroll (with tax deposit timing), rent, loan payments, insurance, subscriptions, credit card due dates, quarterly estimated taxes -- the ambush everyone forgets.
    3. **Model the unknowns.** Recurring-but-variable spend from historical averages, labeled `ESTIMATE`. New revenue only if the user provides expected deals -- never invent pipeline.
    4. **Build the forecast.** `cash-flow-13wk.csv` + summary: weekly beginning cash, inflows, outflows, ending cash. Flag every week ending below the user's minimum comfort level (ask; default one payroll cycle) as `CRUNCH`, and the first crunch week is the headline.
    5. **Scenario the levers.** For each crunch: what closes the gap -- which specific AR to chase this week (pairs with `cowork-invoice-chaser`), which AP can slide two weeks without damage, where the line of credit covers, what the owner draw pause buys. Concrete moves with amounts, not advice-shaped sentences.
    
    ## Rules
    
    - Payment behavior beats due dates: a net-30 customer who pays in 55 days forecasts at 55.
    - Never fabricate inflows. Hope is not a week-9 deposit; unconfirmed revenue stays out or sits in a clearly separated optimistic scenario.
    - Estimates are labeled and totaled separately so the user can see how much of the forecast is soft.
    - Weekly granularity, not monthly -- a month that nets positive can contain a week that bounces payroll.
    - The as-of date and data gaps are stated up front; a forecast built on a two-week-old balance says so.
    - Re-run weekly: roll the window, compare actuals to last week's forecast, and report the misses -- forecast accuracy is a metric.
    
    ## Quick Commands
    
    - "Forecast from [files]" -- full workflow
    - "When's my next crunch?" -- the headline week and its gap
    - "What if [customer] pays late?" -- single-scenario rerun
    - "Roll the forecast" -- weekly update against actuals
    

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