How do I activate the Navigator Loop skill?

You can trigger it by asking Claude to 'run until done', 'loop mode', 'autonomous mode', or 'keep going until complete'.

What are the different phases of a Navigator Loop?

The loop progresses through five phases: INIT (setup), RESEARCH (analysis), IMPL (code changes), VERIFY (testing), and COMPLETE (finalization).

How does the skill know when a task is truly finished?

It uses a dual-condition exit gate that checks for heuristics (like passing tests and committed code) combined with an explicit completion signal from the AI.

What prevents Navigator Loop from running forever?

The skill includes a 'max_iterations' hard cap (defaulting to 5) and stagnation detection that pauses the loop if it detects the AI is repeating the same state without making progress.

Navigator Loop

Name: Navigator Loop
Author: alekspetrov

byalekspetrov

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115

生产力与工作流

Executes complex tasks iteratively until completion using structured progress signals and stagnation detection.

关于

Navigator Loop is a context-engineering skill designed for Claude Code to handle multi-step tasks that require persistence beyond standard exchange limits. It automates the 'keep going' workflow by moving through defined phases—from initial research to implementation and verification—while providing visible status blocks. By employing stagnation detection to prevent infinite loops and dual-condition exit gates, it ensures that Claude doesn't just stop prematurely, but actually finishes the job with high-quality, verified results.

主要功能

Structured phase tracking (INIT, RESEARCH, IMPL, VERIFY, COMPLETE)
115 GitHub stars
Dual-condition exit gates requiring both heuristics and explicit signals
Autonomous multi-iteration execution for complex workflows
Stagnation detection and circuit-breaking for stuck tasks
Automated status reporting with state hashing and progress visibility

使用场景

Automating end-to-end feature development including documentation and git commits
Refactoring large modules that require multiple iterations of code changes and testing
Debugging complex issues that involve deep codebase research followed by verification

关于

主要功能

Structured phase tracking (INIT, RESEARCH, IMPL, VERIFY, COMPLETE)
115 GitHub stars
Dual-condition exit gates requiring both heuristics and explicit signals
Autonomous multi-iteration execution for complex workflows
Stagnation detection and circuit-breaking for stuck tasks
Automated status reporting with state hashing and progress visibility

使用场景

Automating end-to-end feature development including documentation and git commits
Refactoring large modules that require multiple iterations of code changes and testing
Debugging complex issues that involve deep codebase research followed by verification