prepare-my-investor-pack

Generate a board-ready investor financial pack from bookkeeping close and runway reports.

2|Updated May 8, 2026
One-click install
npx skills add https://github.com/akiotanaka847/qaio-desktop --skill prepare-my-investor-pack
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prepare-my-investor-pack
Source: https://github.com/akiotanaka847/qaio-desktop/tree/main/store/agents/bookkeeping/.agents/skills/prepare-my-investor-pack
Command: npx skills add https://github.com/akiotanaka847/qaio-desktop --skill prepare-my-investor-pack

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It turns your latest bookkeeping close into a board-ready investor pack with consistent executive summary metrics and full financial statements, without manual spreadsheet assembly.

Core Features & Use Cases

  • Exec summary from your latest close: Pulls cash, burn, runway, monthly/annual revenue, gross margin, headcount, and top variance drivers into a one-page overview.
  • Full financial statements + SaaS KPI layer: Includes P&L, balance sheet, cash flow, plus SaaS-specific metrics like revenue waterfall, NRR, and (when possible) CAC payback.
  • Cohort retention + runway sensitivity: Adds cohort retention when you have enough contract history and appends runway sensitivity notes, producing drafts only and optionally mirroring to Google Docs.

Quick Start

Use prepare-my-investor-pack to draft your board investor pack from your most recent closed month (set mode=saas-metrics if you only want monthly revenue/annual revenue/gross margin/NRR refreshed).

Frequently Asked Questions about prepare-my-investor-pack

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a board-ready investor pack from my latest bookkeeping close?

Creating a board-ready investor pack involves pulling cash, burn, runway, and revenue data from your latest bookkeeping close to generate executive summaries and full financial statements. It computes metrics only from available sources without inventing numbers.

Can I generate SaaS metrics like NRR and cohort retention from existing financial statements?

Yes, you can generate SaaS metrics like NRR and cohort retention from existing financial statements when sufficient contract history is available. The computation pulls from your closed bookkeeping data to produce revenue waterfalls, NRR, and CAC payback only when the source data supports it.

What financial data do I need before drafting an investor update with SaaS metrics?

Drafting an investor update with SaaS metrics requires your latest bookkeeping close artifacts, runway reports, and sufficient contract history for cohort retention. The process reads existing bookkeeping context to compute metrics strictly from available sources without inventing numbers.

Does preparing an investor pack work with a mode that only refreshes SaaS metrics?

Yes, preparing an investor pack supports a saas-metrics mode that refreshes only monthly revenue, annual revenue, gross margin, and NRR. This mode skips full statement generation and focuses entirely on updating your SaaS KPI layer from the latest close.

How does runway sensitivity analysis work when drafting financial statements?

Runway sensitivity analysis works by appending sensitivity notes to your drafted financial statements based on your latest runway reports. It evaluates cash burn scenarios against available bookkeeping close data, producing draft-only projections without fabricating underlying financial numbers.

What are the limitations of automating investor financial pack generation from bookkeeping data?

The main limitation is that investor financial pack generation cannot invent numbers; it strictly computes metrics from available bookkeeping sources. Cohort retention requires sufficient contract history, and outputs are draft-only, meaning manual review is needed before final board distribution.