RFD4-Proteína Autoresearch

Purpose

An autoresearch campaign is a design → score → iterate loop: generate candidates, score them against an explicit reward, keep what improves the metric, and let the results steer the next round. This skill is the strategy layer over the mechanics that already exist:

• rfd4-proteina-generate — produce designs for a task.
• rfd4-proteina-annotated-cif — build or edit the annotated CIF that defines the design problem (length, epitope/hotspots, ligand).
• rfd4-proteina-search — reward-guided beam search (AF3 oracle) for a single run.
• rfd4-proteina-evaluate — metrics + aggregation + diversity clustering.

The value is not any single run — it is the trajectory: which hypotheses you tested, where you reset, and what evidence spawned the next wave. Make the reward and rules explicit so the loop is steerable and replaceable when you get better evidence.