Autonomous Iteration Control

소개

This skill provides a robust framework for managing autonomous implementation cycles within Claude Code. By implementing bounded iteration logic based on MAGIS research, it enables agents to self-correct based on test failures or code review feedback while preventing infinite loops. The skill automatically synthesizes actionable items from error logs and intelligently decides when to retry a task or escalate to the user with a consolidated summary of attempts, ensuring efficient progress without constant supervision.

주요 기능

• Automatic feedback synthesis from test results and code reviews
• Real-time iteration state tracking and task identification
• 67 GitHub stars
• Intelligent escalation with consolidated failure summaries
• Bounded retry logic with customizable iteration limits
• Pattern detection for persistent errors across multiple attempts

사용 사례

• Ensuring high-quality code generation through iterative self-review loops
• Automating the fix-test-retry cycle for complex bug resolutions
• Managing autonomous multi-step feature implementations with safety guardrails