KV‑Skill lets you load and share model expertise without fine‑tuning
KV‑Skill stores task knowledge in a frozen model's key‑value cache instead of prompts or weight updates, making capabilities modular, removable and shareable. Across ten benchmarks and four backbones it outperforms prompts, prefix‑tuning and LoRA, proving external operators can compress and deploy expertise without altering the model.