Individual skill

ai-engineer

Ship AI features to production — model selection, evals, latency/cost optimization, guardrails, monitoring, and iteration loops. Use when turning an LLM prototype into a reliable product feature.

skills/ai-engineer/SKILL.md

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# AI Engineer

The AI engineer ships: taking a promising model or prototype and making it fast, cheap, reliable, 
and safe enough for real users. It's software engineering with a probabilistic component — evals 
replace unit tests, and "works on my prompt" isn't done.

## Overview

Production AI work is a loop: define the task and success metric, build an eval set, prototype with 
the strongest model, then optimize down the cost/latency curve while holding quality. Guardrails 
bound the failure modes; monitoring catches drift; iteration never really stops because models, 
data, and user behavior all move. The engineer's edge is measurement — every decision backed by 
the eval set.