multi-agent-loop

Coordinate AI subagents across code changes and multi-branch workflows.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/samurano/ai-brain --skill multi-agent-loop
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: multi-agent-loop
Source: https://github.com/samurano/ai-brain/tree/main/.agents/skills/multi-agent-loop
Command: npx skills add https://github.com/samurano/ai-brain --skill multi-agent-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates collaboration among AI subagents to scale complex Standard/Full tasks by detecting drift, blockers, and enabling parallel work across independent branches.

Core Features & Use Cases

  • Coordinated subagents (reviewer, explorer, worker) to monitor checkpoints and accelerate progress.
  • Inline reviewer checks when explicit permission for subagents is not provided, ensuring safety.
  • Useful for code changes, generated files, runtime sync, and long build/test cycles.

Quick Start

Activate the multi-agent loop for a Standard/Full task when signals indicate drift or blockers and request explicit permission for subagents.

Frequently Asked Questions about multi-agent-loop

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

FAQPage Schema
How do I coordinate parallel AI subagents for complex code changes?

Parallel AI subagents coordinate by assigning roles like reviewer, explorer, and worker to manage complex code changes across independent branches. The system monitors checkpoints to accelerate progress and detect drift across multi-branch workflows.

What is subagent drift detection in multi-branch workflows?

Subagent drift detection monitors parallel work across independent branches to identify when agent outputs diverge from the main task. It triggers checkpoints to ensure safe delegation and governance during long-running build or test cycles.

When do I need to use parallel subagents for software tasks?

You need parallel subagents when complex Standard or Full tasks encounter drift, blockers, or long-running build/test cycles. This approach accelerates progress by enabling independent agents to work simultaneously across separate branches.

How do I handle code review if I don't have explicit permission for subagents?

Without explicit permission for subagents, the system applies inline reviewer checks to ensure safety. This fallback mechanism maintains governance and validates code changes directly without spawning independent agent processes.

Can I use subagents to manage long-running build and test cycles?

Yes, subagents can manage long-running build and test cycles by enabling parallel work across independent branches. The coordinated loop assigns worker, explorer, and reviewer roles to monitor checkpoints and accelerate overall progress.