Model
Build valuation and scenario models to stress-test financial assumptionsFrom its SKILL.md
npx -y skills add bromso/metapowers --skill modelAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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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 $ARGUMENTSfirst, or use--skip-checksto bypass.
If --skip-checks is present in $ARGUMENTS, skip this check and log to .metapowers/finance/$ARGUMENTS/skip-log.md.
Process
-
Read context:
- Read
.metapowers/finance/$ARGUMENTS/01-assess.mdthrough04-budget.mdfor complete financial picture - Reference
financial-model-template.mdfor scenario table structure
- Read
-
Build integrated P&L model:
- Revenue model with driver-based projections
- COGS and gross profit
- Operating expenses by category
- EBITDA and net income
- Project 3-5 years with monthly detail for year 1
-
Build scenario models:
- Base case: aligned with the forecast and budget
- Best case: upside assumptions (faster growth, better margins)
- Worst case: downside assumptions (slower growth, higher costs, churn)
- For each scenario: revenue, expenses, cash flow, runway, break-even
- Reference
financial-model-template.mdfor scenario table format
-
Valuation analysis (if applicable):
- Revenue multiples (based on comparable companies)
- DCF analysis with WACC assumptions
- Last-round valuation and implied metrics
- Cap table impact of future fundraising scenarios
-
Sensitivity analysis:
- Identify the 5-8 variables with the most impact
- Show how changes in each variable affect key outputs
- Create tornado chart data (which inputs swing outcomes most)
-
Write the artifact to
.metapowers/finance/$ARGUMENTS/05-model.mdwith 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.