SkillClaw: Making LLM Agent Skills Evolve Collectively
Imagine 8 people in a company using the same AI assistant. Each of them hits the same problems — wrong API port, missing file, malformed argument — and each time independently discovers a workaround. The next day, someone else falls into the exact same hole. The system doesn’t learn from its users’ experience. What if a nightly “editorial shift” automatically analyzed all the day’s interactions, drew conclusions, and served improved procedures to everyone the next morning? ...