executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
pricing-calculatorModel pricing scenarios — tiers, margins, break-even, and the revenue impact of a price change. Use when asked to calculate pricing, model a price increase, find break-even volume, set tier prices to a margin target, or estimate the revenue effect of a pricing change. Produces a computed pricing model (per-tier margin, break-even units, price-change revenue…
Independent GitHub snapshot · Automated classification · Original documentation governs
Pricing decisions are usually made on gut and defended with a spreadsheet built under deadline. This
skill does the math cleanly: the margin on each tier, the break-even volume, and the revenue impact of
a price change under an explicit elasticity assumption — so a pricing proposal rests on numbers, with
the assumptions visible. (For the strategy — model, packaging, positioning — pair with
pricing-strategy; this runs the numbers.)
Ask for these only if they aren't already provided:
1. The numbers (via the helper):
| Scenario | Price | Volume | Revenue | Margin |
|---|---|---|---|---|
| Today | ||||
| Proposed |
2. The recommendation — what the math supports, and the volume drop you could absorb before the change loses money (the break-even elasticity — the most decision-useful number).
3. Assumptions — elasticity is an estimate; state it, and how sensitive the conclusion is to it.
scripts/pricing.py (stdlib only) runs the margin / break-even / price-change math:
# in.json: {"current_price":50,"variable_cost":10,"current_volume":1000,"price_change_pct":0.2,"volume_change_pct":-0.1,"fixed_costs":20000}
python3 scripts/pricing.py in.json
python3 scripts/pricing.py in.json --json
Pricing & break-even analysis — contribution margin, break-even volume, price-elasticity sensitivity.