소개
The Goal-Seeking Agent Pattern skill empowers software architects to build resilient, autonomous AI systems capable of executing high-level goals without rigid instructions. By decomposing objectives into dependent phases and success criteria, this skill facilitates the creation of self-correcting agents for SRE automation, CI/CD diagnostics, and adaptive code maintenance. It provides a comprehensive framework for evaluating agentic suitability, structuring autonomous workflows, and implementing robust error-recovery strategies within the Amplihack ecosystem.