claude

au-fpa-pack

Australian FP&A skills: 30 June years, Xero AU, GST and BAS cash timing.

0 on GitHubby Ryan Duguidv0.5.0LicenseRef-Duguid-Public-Attribution-1.0 AND MITupdated yesterday
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Plugin au-fpa-pack from marketplace au-fpa-pack in ryanduguid/au-fpa-pack. Commands read from the repo's manifest — yesterday.

What it installs

Skills (17)

  • fpa-au-drivers

    Use when an Australian forecast needs official economic drivers - RBA cash rate and exchange rates, ABS CPI/WPI/retail/labour series - snapshotted with provenance for reproducible scenarios.

  • fpa-au-gst-bas

    Use when forecasting cash for a GST-registered Australian entity - net GST positions, BAS settlement timing (monthly or quarterly), GST-free and input-taxed categories, 13-week cash impacts.

  • fpa-au-payroll

    Use when forecasting payroll costs for an Australian employer - superannuation guarantee, state payroll tax, workers compensation, leave provisions, headcount plans with start dates and vacancies.

  • fpa-au-xero

    Use when onboarding an Australian company whose books are in Xero - request reports, detect GST-inclusive exports, map chart of accounts and tracking categories, reconcile to BAS and payroll before modelling.

  • fpa-backtest-learn

    Use when you want the model to learn from how its past forecasts actually turned out - scoring forecasts against the company's real actuals, backtesting assumptions on history, and proposing ratified improvements. Runs at/after monthly close.

  • fpa-board-briefing

    Use when producing a board deck, investor update, or CFO briefing from an openfpa forecast - turning model output into a board-ready narrative and exportable artefacts.

  • fpa-capture-correction

    Use when a human reviewing a forecast catches something off ("December always spikes", "you're double-counting deferred revenue", "that Q3 number was a one-time contract") - captures it as a durable, typed correction in the company's memory so future forecasts are grounded by it.

  • fpa-cash-runway

    Use when answering "when do we run out of cash", building a 13-week cash forecast, sizing a credit line, or analysing near-term liquidity and payment timing in openfpa.

  • fpa-cfo-judgment

    Use when interpreting financial actuals, reviewing margins or cash, drawing conclusions from a P&L or balance sheet, or about to tell someone a number means something - the judgement layer that separates "AI that does maths" from "AI that thinks like a CFO.

  • fpa-configure-actuals

    Use when wiring a company's real numbers into an openfpa model - from local spreadsheets (P&L, balance sheet, AR/AP ageing, inventory), a live system via MCP or API (QuickBooks, NetSuite), public filings (10-K/10-Q), or anything else. Not married to one source - build the ingestion for whatever the

  • fpa-excel-model

    Use when the user wants their model in Excel with real working formulas - "export this to Excel", "a workbook I can hand my board", "something that recalculates when I change an assumption". Produces a live-formula workbook generated from the model structure and verified against the engine before de

  • fpa-learn-business

    Use when starting FP&A work for a new company, onboarding a business into openfpa, or asked to "understand my business / set up a model for us" before any forecasting - produces a durable business profile and generates business-specific skills.

  • fpa-monthly-close

    Use when running a month-end close, refreshing a forecast with the latest actuals, computing plan-vs-actual variance, or producing a "how did the month go" analysis in openfpa.

  • fpa-portfolio-learn

    Use when you run FP&A for several clients and want your practice to compound - mines patterns that generalise across your same-type clients, validates them by leave-one-out cross-client backtesting, and promotes ratified priors and skills into a local library that seeds every new client. Local only,

  • fpa-research-loop

    Use after forecasts have scored actual outcomes and you want the AI to run bounded autonomous champion/challenger research epochs, discard weak candidates, and propose only evidence-backed model promotions.

  • fpa-scaffold-model

    Use when building a new openfpa forecast model from a company's financials - a trial balance, a P&L export, or a pasted income statement - and you need a runnable config to exist before any forecasting or analysis.

  • sku-profitability

    Use when analysing which products make or lose money, ranking SKUs by margin or contribution, running a Pareto/80-20 on a product line, or deciding which SKUs to cut, reprice, or push in a product business.

View source on GitHub duguid.com.au

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