What is the default iteration limit for this skill?

The default is set to 3 iterations, but this can be easily overridden in your configuration to suit the complexity of your specific task.

Can it differentiate between test failures and review rejections?

Yes, the decision logic evaluates both test results (pass/fail) and review status (approve/reject) independently to provide tailored feedback for the next retry.

How does the skill handle persistent failures?

Once the maximum iteration limit is reached, the skill synthesizes all attempt data, identifies patterns in the failures, and escalates to the user with a consolidated summary and a specific decision point.

Is this skill based on software engineering research?

Yes, it implements findings from MAGIS research which demonstrates that bounded Developer-QA iteration loops significantly improve code quality in multi-agent systems.

Does this skill prevent infinite loops in AI agents?

Yes, that is its primary purpose. By enforcing hard bounds on retries and requiring human intervention after a set number of failures, it ensures the agent remains productive and cost-effective.

Autonomous Iteration Control

Name: Autonomous Iteration Control
Author: jmagly

byjmagly

•

生産性とワークフロー

Manages bounded autonomous coding loops by tracking retries, synthesizing error feedback, and escalating complex failures to developers.

概要

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.

主な機能

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

ユースケース

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

概要

主な機能

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

ユースケース

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