What problem does it solve? New product ideas often ship false premises into architecture because design documents read as settled fact whether or not anyone verified them. This Skill separates what is known from what is assumed at the very start of an idea, forcing load-bearing assumptions to be measured before they become interfaces, dependencies, and weeks of wasted work. ## Core Features & Use Cases - Claim Labeling: Splits an idea into individual claims and labels each as measured, documented, or assumed, then flags any unverified claim whose failure would change the design. - Probe Definition: Designs cheap, hours-not-days probes (scripts or curl calls) that answer one question with a number on real data, run directly in Claude Code or handed off as work items from Claude Desktop. - Honest Document Writing: Produces PRDs and PCDs where every technical claim carries its provenance label, kill criteria are numbers with decisions attached, and irreversible-cheap decisions (name, trademark pass, repo name, stack archetype) happen before the document is titled. - Use Case: Before writing a PRD for a new app, use this Skill to list its premises, probe the riskiest ones (e.g., API access, identifier coverage) against real data, and only then draft the document around what survived. ## Quick Start Use the exploring-an-idea skill to break down my new product idea into labeled claims and tell me which assumptions to probe before I write a PRD.