# 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 artifacts.

- Skill: `jeffbrines/fpa-board-briefing` (Agent Skill)
- Install (CLI): `npx skillmds@latest add jeffbrines/fpa-board-briefing`
- Raw SKILL.md: https://api.skillmd.com/api/skills/jeffbrines/fpa-board-briefing/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: JeffBrines (https://skillmd.com/u/jeffbrines)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/jeffbrines/fpa-board-briefing

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# Board Briefing (Operate)

## Overview

Turn forecast output into a board/investor-grade briefing: the headline numbers, the cash story, what changed, and the risks - as markdown and Excel. Make the operator look like they have a CFO.

**Core principle:** A board wants the story and the three things that matter, not a data dump.

## When to use

- Board decks, investor updates, lender packages
- "Summarize the forecast for leadership"

## Workflow

1. **Discover the company command.** Run
   `openfpa entrypoint-list <company-root> --kind report`. Use a registered
   briefing workflow when one exists.
2. **Build the forecast** (monthly + optional runway):
   ```python
   import pyfpa
   from pyfpa.io.loaders import load_cash13_config
   monthly = pyfpa.cashflow_from_config(pyfpa.load_config("examples/ridgeline/config.yaml"))
   runway = pyfpa.runway_summary(pyfpa.cash13_forecast(load_cash13_config("examples/ridgeline/cash13.yaml")))
   ```
3. **Render the briefing**:
   ```python
   from pyfpa.io.reporting import to_briefing_md, forecast_to_excel
   md = to_briefing_md(monthly, title="Acme Inc.", runway=runway)
   forecast_to_excel(monthly, "forecast.xlsx")
   ```
   `to_briefing_md` emits a headline (revenue, EBITDA, net income, ending cash), an optional 13-week runway section, and a monthly table.
4. **Add the narrative** the renderer can't. `to_briefing_md` emits only the headline, the optional runway section, and the monthly table - it has no narrative slot. So author your own markdown *around* it: prepend a `## What changed` section (the 3 things that moved) and append `## Risks` (3 forward risks) and `## The ask` (e.g. "approve a $200K line to bridge the spring build"). The rendered briefing is the data spine; you supply the story.
5. **Apply judgment** (see **fpa-cfo-judgment**): caveat any pre-close months, state whether cash is flash or GL, and don't quote `ebitda` as true EBITDA if D&A matters.
6. If the audience wants the model itself, produce the live-formula workbook via **fpa-excel-model** alongside the briefing.

## One-command demo

`python examples/ridgeline/run_demo.py` runs this whole path on the synthetic demo and writes `docs/demo/briefing.md` + `forecast.xlsx`.

## Common mistakes

- Leading with a table instead of the takeaway.
- Presenting a cash trough without the recommended action.