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Finance2026-04-23

Financial Analyst: From Raw Ledger to Board-Ready Insight in One Shot

Financial Analyst is the ARCHITECT and Claude-Code skill that transforms messy financial data — P&L statements, cap tables, SaaS metrics — into structured analysis, scenario modeling, and narrative-ready insights for investor and board audiences.
Quick Access
Install command
$ mrt install finance
Financial Analyst: From Raw Ledger to Board-Ready Insight in One Shot
**TL;DR** — Financial Analyst ingests raw financial data and produces structured analytical output: metric decomposition, scenario models, variance analysis, and board-ready narratives — the work that usually takes an analyst two days, done in minutes.

The 10-Second Pitch

  • Decomposes P&L and revenue statements into actionable metric narratives: margin drivers, revenue per SKU, cohort retention
  • Builds scenario models from three-year projections to stress-test key assumptions
  • Produces variance analyses comparing actuals to budget with driver-level attribution
  • Generates board-ready metric summaries that translate raw numbers into strategic story
  • Handles cap table math, dilution scenarios, and option pool modeling without spreadsheet errors

Setup in 3 Steps

1. Define your metric schema — Map your KPI definitions (ARR, NDR, GMV, CAC payback) into the skill's working vocabulary. This ensures the skill speaks your business's language, not generic finance.

2. Feed it your standard charts and formatting — Provide your board deck templates and chart styles. The skill outputs into your structure, not generic output shapes.

3. Set scenario guardrails — Define the range bounds for your key assumptions (growth rate, churn, pricing). The skill will flag extrapolations that exceed these ranges without calling them errors.

Example Prompt:

```

Upload our Q1 P&L (revenue $4.2M, gross margin 61%, OpEx $3.8M) and cap table (Series A @ $12M post-money, 18% dilution pool). Generate: (1) a variance analysis vs. Q1 plan, (2) a 12-month cash runway projection under three scenarios (base, bull, bear), and (3) a board-ready metric summary with the three slides formatted per our standard deck template.

```

Verdict

| Pros | Cons |

| --- | --- |

| Compresses financial analysis from days to minutes | Input data must be structured — messy exports produce unreliable output |

| Eliminates spreadsheet modeling errors | Financial projections still require human business judgment |

| Generates board-ready narrative from raw data | May require CFO sign-off before investor-facing distribution |

| Handles cap table math with audit-level precision | Scenario modeling quality depends on assumption inputs |

Financial Analyst is a precision instrument, not a crystal ball. It will make your finance team dramatically more productive — but the strategic judgment on what the numbers mean stays with the humans. The best deployments treat it as an analyst-on-demand: fast, accurate, and always with a human in the loop for key decisions.