Skill UI

This skill provides comprehensive tools for documenting and managing model performance on Hugging Face. It supports multiple methods for adding structured evaluation data, including extracting tables from README content, importing benchmark scores via APIs (like Artificial Analysis), and executing high-performance custom evaluations using advanced backends such as vLLM or lighteval. It ensures that all metadata is structured and compatible with model leaderboards and industry standards.

PUA Pro extensions add self-evolution tracking, session snapshots, compaction recovery, KPI reports, and leaderboard flows to the /pua skill, so you can monitor actions, recover interrupted sessions, and surface executive-ready reports and ranks.