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nav-loop

Execute iterative task loops with stagnation detection and dual-condition exit gates.

32|3|Updated Jan 21, 2026
Search Tags:#automation#workflow#task completion#stagnation detection#autonomous#loop
One-click install
npx skills add https://github.com/dkyazzentwatwa/SuperNavigator --skill nav-loop
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: nav-loop
Source: https://github.com/dkyazzentwatwa/SuperNavigator/tree/main/skills/os-layer/core/nav-loop
Command: npx skills add https://github.com/dkyazzentwatwa/SuperNavigator --skill nav-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates repetitive tasks by running them iteratively until a defined completion state is reached, eliminating the need for constant user prompts to "keep going."

Core Features & Use Cases

  • Autonomous Execution: Tasks run in a loop, progressing through phases like RESEARCH, IMPL, and VERIFY without manual intervention.
  • Stagnation Detection: Identifies when a task is stuck and alerts the user or attempts recovery.
  • Structured Completion: Uses a combination of heuristic indicators and explicit signals for reliable task finalization.
  • Use Case: When implementing a new feature, you can tell the AI to "run until done." It will then autonomously write code, run tests, commit changes, and repeat until all requirements are met and explicitly confirmed as complete.

Quick Start

Use the nav-loop skill to run the current task until it is fully complete.

Frequently Asked Questions about nav-loop

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate task completion in AI workflows without manual prompting?▼

Automating task completion involves running tasks iteratively in a loop until defined completion signals are met. This eliminates manual prompting by progressing autonomously through research, implementation, and verification phases.

What is autonomous task stagnation detection and how does it work?▼

Autonomous task stagnation detection identifies when an iterative workflow is stuck and alerts the user or attempts recovery. It monitors task phases continuously to prevent infinite loops during self-directed execution.

How do I set up an autonomous loop to run until a task is fully complete?▼

To run an autonomous loop until completion, initiate the task and let the system manage initialization, implementation, and verification phases. Dual-condition exit gates combine heuristic indicators and explicit signals to finalize the task reliably.

Can I use autonomous execution loops for persistent software engineering tasks?▼

Yes, autonomous execution loops are designed for persistent, self-directed task completion in AI-driven workflows. They autonomously write code, run tests, and commit changes until all software requirements are explicitly confirmed as complete.

What are the limitations of autonomous task completion loops?▼

Autonomous task completion loops rely on heuristic indicators and explicit signals for finalization, meaning they require clear completion criteria. Without defined exit gates, stagnation detection triggers alerts, potentially requiring user intervention to recover.

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