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Model

Skill bromso/metapowers/plugins/finance/skills/model

Build valuation and scenario models to stress-test financial assumptionsFrom its SKILL.md

Install
npx -y skills add bromso/metapowers --skill model

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SKILL.md

2.5 KB, 597 tokens by cl100k_base, as published. Nobody here has run it

Model

Build the financial model for "$ARGUMENTS". Create an integrated model with scenario analysis, valuation, and sensitivity testing to support decision-making and fundraising.

Prerequisites

Read .metapowers/finance/$ARGUMENTS/04-budget.md. If this file does not exist, tell the user:

Phase 4 (Budget) has not been completed for "$ARGUMENTS". Run /finance:budget $ARGUMENTS first, or use --skip-checks to bypass.

If --skip-checks is present in $ARGUMENTS, skip this check and log to .metapowers/finance/$ARGUMENTS/skip-log.md.

Process

  1. Read context:

    • Read .metapowers/finance/$ARGUMENTS/01-assess.md through 04-budget.md for complete financial picture
    • Reference financial-model-template.md for scenario table structure
  2. Build integrated P&L model:

    • Revenue model with driver-based projections
    • COGS and gross profit
    • Operating expenses by category
    • EBITDA and net income
    • Project 3-5 years with monthly detail for year 1
  3. Build scenario models:

    • Base case: aligned with the forecast and budget
    • Best case: upside assumptions (faster growth, better margins)
    • Worst case: downside assumptions (slower growth, higher costs, churn)
    • For each scenario: revenue, expenses, cash flow, runway, break-even
    • Reference financial-model-template.md for scenario table format
  4. Valuation analysis (if applicable):

    • Revenue multiples (based on comparable companies)
    • DCF analysis with WACC assumptions
    • Last-round valuation and implied metrics
    • Cap table impact of future fundraising scenarios
  5. Sensitivity analysis:

    • Identify the 5-8 variables with the most impact
    • Show how changes in each variable affect key outputs
    • Create tornado chart data (which inputs swing outcomes most)
  6. Write the artifact to .metapowers/finance/$ARGUMENTS/05-model.md with sections:

    • Integrated P&L — multi-year income statement
    • Scenario Analysis — best/base/worst case summaries
    • Valuation — multiples, DCF, and comparable analysis
    • Sensitivity Matrix — variable impact on key metrics
    • Model Assumptions Log — every input and its source/rationale

Output

The model written to .metapowers/finance/$ARGUMENTS/05-model.md. Present a summary highlighting:

  • Base case P&L trajectory
  • Scenario range (worst to best)
  • Valuation range
  • Most sensitive variables

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 1 of the 12 instructions most finance skills give in 597 tokens

Counted across 469 of the 469 authors here whose files we hold, read 2026-08-07

  • Extract date vendor amount and descriptionin 15 of 469, across 3 files
  • Scan folder for invoice filesin 14 of 469, across 2 files
  • Rename files to standard formatin 14 of 469, across 2 files
  • Show organization plan before movingin 14 of 469, across 2 files
  • Generate summary CSVin 14 of 469, across 2 files
  • Organize files by categoryin 13 of 469, across 1 file
  • Preserve original filesin 13 of 469, across 1 file
  • Flag files missing critical infoin 13 of 469, across 1 file
  • Produce the requested output filein 9 of 469, across 4 files
  • Build best, base, and worst case scenarioshere, and in 9 of 469, across 5 files
  • Implement backoff if rate limit errors occurin 8 of 469, across 3 files
  • Determine the weighted average cost of capitalin 8 of 469, across 4 files

Said here and by no other author read

  • Write the artifact file
  • verify budget phase completion before proceeding
  • read prior financial context documents
  • build integrated multi-year P&L model
  • perform valuation analysis using multiples and DCF
  • perform sensitivity analysis on key variables

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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