graft-multi-agent-loop

Name: graft-multi-agent-loop
Availability: InStock
Author: gewuyou

Orchestrate repeated multi-agent task rounds with loop modes and batch state.

6|Updated May 11, 2026

Search Tags:#multi-agent #task orchestration #sub-agent #loop mode #main-agent

Ready to run

npx skills add https://github.com/GeWuYou/Graft --skill graft-multi-agent-loop

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Please help me install this Agent Skill.
Skill: graft-multi-agent-loop
Source: https://github.com/GeWuYou/Graft/tree/main/.agents/skills/graft-multi-agent-loop
Command: npx skills add https://github.com/GeWuYou/Graft --skill graft-multi-agent-loop

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the orchestration of multi-agent tasks, especially those that require iterative processing within a single session.

Core Features & Use Cases

Multi-Agent Loop: Execute repeated, serial rounds of sub-agent tasks within a main-agent session.
Loop Modes: Support for both topic-completion-loop and checkpoint-loop modes for task progression and checkpointing.
Use Case: Ideal for tasks that involve iterative processing and require coordination between a main agent and multiple worker subagents.

Quick Start

Deploy the graft-multi-agent-loop skill to manage and automate complex multi-agent tasks.

Frequently Asked Questions about graft-multi-agent-loop

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

FAQPage Schema

How do I automate multi-agent task orchestration with loop execution?▼

Multi-agent task orchestration with loop execution is automated by managing repeated serial rounds of sub-agent tasks within a main-agent session, handling batch state, scope, and progression automatically.

What is the difference between topic-completion-loop and checkpoint-loop modes?▼

Topic-completion-loop and checkpoint-loop modes differ by task progression strategy: topic-completion manages iterative processing until topics resolve, while checkpoint-loop manages batch state through defined progression checkpoints.

When do I need loop orchestration for multi-agent coordination?▼

Loop orchestration for multi-agent coordination is needed when tasks require iterative processing within a single session, specifically coordinating a main agent with multiple worker subagents across repeated serial rounds.

Do I need specific environment setup to run sub-agent tasks in loop mode?▼

Running sub-agent tasks in loop mode requires appropriate setup for sub-agent execution, ensuring your environment supports main-agent and sub-agent coordination for managing batch state and progression.

What are the limitations of using loop orchestration for iterative multi-agent tasks?▼

Limitations of loop orchestration for iterative multi-agent tasks include the requirement for appropriate sub-agent execution setup and its restriction to serial round execution, potentially impacting parallel processing workflows.