SkillClaw is an agentic skill evolution framework that enables AI agents to improve and expand their capabilities over time through real-world interactions. It supports broad compatibility with agent platforms including Hermes and OpenClaw, allowing agents to learn collaboratively across sessions, devices, and users. The system implements continual learning mechanisms where experience compounds as agents tackle diverse tasks, with skill evolution managed through an agentic evolver component.