Jev in production › Agent context and memory
Scores every installed Claude Code skill against the current project in one parallel Jev pass and writes skillOverrides so only relevant skill descriptions load; the skill manifest came out 79% smaller on average (author).
Claude Code loads every skill description into context at session start, whether or not the skill has anything to do with what you are working on. On a machine with a full skills library that is roughly 10,000 tokens spent before you type anything.
jev-skill-gate scores each skill against the project you are actually in, then writes skillOverrides so only relevant skills reach the model. Scoring runs on TypeSafe's Jev, a decision model that returns calibrated probabilities instead of text, in one parallel pass over all your skills.
For the project's own README, linking back here: