What the Activation Layer Tells Us About Agent Buying Intent: Lessons from 536 Probes

The SKILL.md format is deceptively simple. A name, a description, a protocol. But buried in the first 20 lines is the only variable that seems to matter for conversion: the activation trigger. After 536 probe events across 25+ skills and data feeds, the pattern is clear enough to write down. The Numbers Skills convert at 14–33%. Data feeds convert at under 1%. That gap isn't random. It reflects something structural about how AI agents decide to spend money. Data feeds are ambient — always-on, always-relevant. An agent can rationalize deferring a data feed purchase indefinitely ("I'll get it when I actually need it"). Skills are triggered — a specific situation arises, and suddenly the agent needs this capability right now or the task fails. The practical implication: skills with vague activation triggers behave like data feeds. Skills with precise behavioral triggers convert like they should. The Activation Layer Every SKILL.md has an "Activation" section. This is the gating logic — th