Idea Generation

A funnel, not a screen dump. A name that clears a filter is a candidate: it has earned the next hour of work, nothing more. The output is a short ranked list where each name says why it surfaced, what would have to be true, and what would kill it, plus the names that screened well and were rejected, which is where most of the learning sits.

Evidence labels, source tiers, staleness, the readiness posture and the intake limits: .agents/skills/research-conventions/SKILL.md, read before the first deliverable.

Step 1: Mandate and universe

Read the investor-mandate memory first per .agents/skills/research-conventions/references/intake.md, then ask only about the forks it leaves open. Record every slot, with a disclosed default where nothing fixes it: