关于
This skill guides developers in transitioning from traditional hardcoded feature sets to agent-native applications. It focuses on the discovery that effective software features can be outcomes described in prompts and achieved by agents operating in a loop. By implementing core principles like action parity, atomic granularity, and prompt composability, developers can create systems that possess emergent capabilities and improve over time. Use this skill to design autonomous agents, create MCP tools, and build self-modifying systems that work with the same reliability as Claude Code.
