Decide whether to buy, wait, or skip before you spend — with regret-risk scoring, future-self checks, and a 7-day purchase test.
Challenge your thinking before you commit. The riskiest decisions are the ones that feel obvious too early. Council runs your plan past independent advisers who surface objections and hidden risks — before you commit.
Two offers, one choice. Turns base pay, bonus, equity, commute and taxes into money, ranks offers by 4-year present value and real hourly pay, and gives you a negotiation number you can say out loud.
Get a fast verdict before checkout — spot overpriced, risky, or impulse buys and skip the purchases you'd regret.
Evaluates a batch of resumes against a job description and optional success examples. Produces ranked shortlist / maybe / pass piles with scores, strengths, gaps, screening questions, and clear reasoning for every candidate — while avoiding protected characteristics and never making hire or reject decisions.
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.
This is the work I did for 10+ years. As a senior HR at top companies, I screened 10,000+ resumes and decided who made the shortlist — learning to tell real signal from keyword-stuffing, spot who'll actually perform, and stay consistent instead of going on gut. This Skill puts that same judgment to work on your hiring: it reads each resume against your role, ranks candidates with clear reasons, and flags who's worth interviewing and who isn't — so you build a sharper shortlist, faster.
Forces AI agents to identify independent judgment axes before answering any complex question — decomposing the problem into minimum separable sub-problems, solving each one independently, then integrating into a single conclusion so complex analysis is auditable, correctable, and never a blur of mixed reasoning.