Stop letting your biggest calls get trapped in binary framing, gut instinct, or FOMO — only to realize six months later that the decision structure itself was the failure. This produces a reviewable strategic decision journal: type-1/type-2 reversibility classification, 3+ options instead of yes/no, a cost-risk-time matrix, a pre-mortem of the top 5 failure modes, a stakeholder disagreement map, your confidence level, explicit kill criteria, and a 30/60/90-day review.
Decide whether to buy, wait, or skip before you spend — with regret-risk scoring, future-self checks, and a 7-day purchase test.
Turn an "everything is important, no idea what to do first" backlog into a comparable-score prioritization sheet. Scope what gets ranked and who decides, pick one model (RICE, ICE, weighted scoring, or value-vs-effort 2×2), anchor every dimension to a shared scale, score and sort, run a gut-check calibration, then draw the line and prep the talk track for what you cut. Built to beat the all-P0 trap, the loudest voice, recency bias, and the HiPPO.
転職、仕事、人生、ビジネスなど、重要な選択を前に「どう判断すればいいかわからない」と感じていませんか？ Decision Architect AI は答えを代わりに決めるのではなく、目的、選択肢、根拠、メリット・デメリット、リスク、機会、見落としを整理し、Decision Blueprint を作成します。 複雑な選択を、より冷静かつ構造的に考えるための意思決定支援ツールです。
I've spent years in fitting bays reading Trackman data — this Skill works the way a $200/hour fitting reads: paste your Trackman, GCQuad, Mevo+, R10, or sim numbers and get the one dominant diagnosis, an honest technique-vs-equipment verdict, exact spec directions when equipment is truly the problem, and a practice prescription with a measurable checkpoint. It will tell you NOT to buy a new driver when the data says strike training, which is exactly why you can trust it when it says the opposite
Turn rough ideas into clear, validated designs through focused questions, practical options, trade-off analysis, and approval checkpoints.
Rules + parts that make your coding agent build honest, consistent, phone-ready dashboards — zero dependencies.