Should you raise the price, make the hire, or pivot? Paste the decision and get a finished verdict in minutes: go or no-go, the one risk that matters, what breaks in execution, and the single question that settles it. Built for founders and PMs who must decide today.
You get: a seven-slide decision outline with an evidence ledger, decision brief, option matrix, and action register. Verdict: rollout, follow-up, or hold is shown only against your supplied criteria, with [UNVERIFIED] gaps labelled separately — so you do not invent significance, causality, or outcomes.
Paste AI evaluation cases and get an evidence-bounded triage brief: expected vs. observed behavior, ranked hypotheses, and the missing checks to run next — so you can decide what to investigate first without claiming a root cause or fix.
Hands-on prompt engineering and LLM evaluation. Built around a diagnose-then-ship loop: forensic transcript critique ▎ that names the exact failure mode, paired with a fixer that produces complete, deployment-ready rewrites — not ▎ vague advice.
Decide whether to buy, wait, or skip before you spend — with regret-risk scoring, future-self checks, and a 7-day purchase test.
At McKinsey, a recommendation was only as good as the research under it. So I learned to do it right: scope the real question, pull from independent sources, triangulate what's actually true, and ground every claim in evidence. This Skill runs that discipline for you — breaking down a question, comparing sources, verifying claims, and writing a structured report with citations you can check. Decisions on evidence, not vibes.
Know if your backtest is a real edge or overfit noise. Runs bar-permutation MCPT, Deflated Sharpe, PBO/CSCV, Hansen SPA, Romano-Wolf StepM, a stationary bootstrap and an out-of-sample split on your own returns — no market feed, no API keys.