Individual skill
jev-integrate
Wire a System One model (Jev, or an open reproduction like Von) into a product feature — routing, guardrails, scoring, classification. Use when replacing an LLM call that returns a label rather than prose, when adding a typed decision to an agent loop, or when deciding between the hosted Jev API and a local open model. Covers question design, the eval-set-first workflow, threshold calibration, confidence gates, and the traps measured on real data.
jev-integrate/SKILL.md
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# Wiring a System One model into a feature
A System One model answers **typed questions in one forward pass**. It generates no text.
State in, typed answers with calibrated probabilities out. It is an if-statement that can read.
Use it when the decision is **narrow, pre-specified, and repeated**. Do not use it for
anything that needs a written explanation — that is still a job for Claude.
## Before anything else: is this actually the right tool
Answer these three. If any is "no", stop and keep the LLM call.
1. **Are the possible answers known up front?** Choice caps at 255 options.
2. **Does the caller need only the label**, not the reasoning? If a human reads a