Agent Skills: building-llm-backed-features

Builds application features on top of an LLM API in Python — prompt surfaces that drift apart, structured outputs, context budgeting, model/config wiring, filtered evaluator sets, keeping live-model calls out of default CI, evaluating stochastic output, and presenting model output truthfully. Use when adding an LLM call to an app, designing structured outputs or prompt templates, filtering audit rules, wiring model config, or testing/evaluating LLM-backed analysis.