simulate

indranilbanerjee/digital-marketing-pro

SkillLoads cleanly

Run Monte Carlo simulations (default 10,000 iterations via revenue-simulator.py) of marketing scenarios — channel-mix shifts, budget reallocations,…

Scores
out of 100 · grade B+

2026-08-13

Works

40% of the score

100/100

Loads cleanly: valid frontmatter, required fields present, no dangling references.

Maintained

25% of the score

100/100

no commits in the last 12 weeks

Adopted

20% of the score

39/100

736 stars on the source repo.

Documented

15% of the score

55/100

No usage example or code block.
1,031-word body.

Loads cleanly. Every structural check Claude Code needs to register this passed. Last commit yesterday.

Install

npx skills add indranilbanerjee/digital-marketing-pro/simulate

What it says it does

Run Monte Carlo simulations (default 10,000 iterations via revenue-simulator.py) of marketing scenarios — channel-mix shifts, budget reallocations, new-channel launches — reporting expected/P10/P50/P90 revenue, probability of hitting a stated target, risk-adjusted scenario ranking, and tornado-chart sensitivity analysis. Models outcomes only — commits no budget and changes no campaigns. Triggers on "/digital-marketing-pro:simulate", "what if we shift 30% of paid budget to TikTok", "simulate next quarter's revenue", "what's the probability we hit the target", "compare these budget scenarios". Reads the brand's historical performance plus industry-profile and channel-family benchmarks to calibrate ROI distributions.

Every number above came out of reading the file and its repository. Nothing is a judgement call, nothing is a model’s opinion, and nothing can be paid for. The full method is published. Source last committed 2026-08-12.

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