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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.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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 delivery.
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 artifacts.
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.
Use when modeling a multi-segment company that discloses segment net sales and segment Adjusted EBITDA (ASU 2023-07) but not segment COGS or operating income - rolls segment P&Ls into a consolidated forecast and reconciles total segment Adjusted EBITDA to the disclosed total. Generated for Fox Factory (PVG/AAG/SSG).
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.
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.
| name | fpa-monthly-close |
| description | 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. |
Fold the latest actuals into the model, refresh the forward forecast from the last closed position, and explain the variance. The output is a narrative, not just a variance table - what changed, why, and what it means forward.
Core principle: A close that only reports numbers isn't done. The value is the explanation.
openfpa entrypoint-list <company-root> --kind close. Use a registered close
command when one exists; otherwise build the workflow from the approved
company architecture.pyfpa.cashflow_from_config(cfg) after updating config with the new closed position.Close done → fpa-cash-runway (near-term liquidity), fpa-board-briefing (the writeup), and fpa-backtest-learn (score the prior forecast). Persistent or material misses feed fpa-research-loop for bounded challenger epochs.