what-if
Compare budget scenarios side-by-side. Use when: testing 2-4 allocation variants with projected outcomes.
npx skills add indranilbanerjee/digital-marketing-pro --skill what-if --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# /digital-marketing-pro:what-if ## Purpose Quick scenario comparison tool. Test 2-4 marketing scenarios against each other — different budget allocations, channel mixes, or strategic approaches — and see projected outcomes side-by-side. This is the lighter, faster alternative to full Monte Carlo simulation (`/digital-marketing-pro:simulate`). Where simulate runs thousands of iterations with full probability distributions, what-if uses point estimates with simple variance bands to give directional answers in minutes. Use it for rapid decision-making when you need a quick read on "should we do A or B?" without the statistical depth of a full simulation — team meetings, Slack discussions, quick planning calls, or narrowing down options before running a deeper analysis. > **Simulated output — not a forecast.** what-if projections are directional point-estimates produced by `revenue-simulator.py` from your stated assumptions and historical benchmarks, not measured predictions. Treat every scenario number as a planning aid: validate the ROI assumptions against your own data before committing budget. All example dollar figures in this skill are SYNTHETIC (illustrative only — never reuse
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What does the what-if skill do?
Compare budget scenarios side-by-side. Use when: testing 2-4 allocation variants with projected outcomes.
How do I install it?
Run `npx skills add indranilbanerjee/digital-marketing-pro --skill what-if --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From indranilbanerjee/digital-marketing-pro, a repository with 700 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.