laguagu/jev-skills

Maps what can be built with TypeSafe Jev and the other decision models that take the same typed request (OpenAI Decisions, Cloudflare Clef, Microsoft-Decision-1, Liquid d1), and where to look for it. Use when adding typed decisions (Choice, Score, Noul or yes/no questions) for routing, reranking, classification, tool or model selection, value extraction, moderation, citation or evidence checks; when a decision should read an image; when connecting through an SDK, gateway or framework, or keeping the provider swappable; when looking for the official cookbook, client library, integration or example that fits a need; when choosing between Jev, another decision model, an LLM, a cross-encoder, an open model you host or a small trained model, including when a decision must be fast; or when a question answers wrong or with low confidence. Complements the official typesafe-ai skill, which covers API and question design from the live docs; measuring a finished workflow has its own companion skill, jev-evidence-eval.

Finds and checks Jev repositories, skills and examples, then updates the jev-skills README. Use when refreshing this collection, adding or checking an entry, finding new ecosystem projects from awesome-jev lists or GitHub, or fixing stale, renamed or duplicate entries.

Evaluates TypeSafe Jev evidence and classification workflows for accuracy, review coverage, latency and cost. Use when testing citation or support checks, building a labelled test set or eval harness for Jev decisions, choosing or validating confidence thresholds, or comparing a Jev workflow with a classifier, cross-encoder or LLM before adopting it.