Cangjie-skill converts the systematic methodology and frameworks from books into independently callable, combinable AI skill toolkits. It uses prompt engineering and the RIA-TV++ method to distill knowledge into agent-compatible formats. The resulting skills can be invoked by AI agents like Claude Code and OpenClaw to apply book-derived knowledge in real decision-making scenarios, addressing the common problem of book knowledge remaining unused.