meta-agent-teams

Orchestrate persistent agent teams with shared task lists and messaging.

14|Updated May 28, 2024

Search Tags:#task management #orchestration #multi-agent systems #coordination #lifecycle management #agent teams

Ready to run

npx skills add https://github.com/cameronraysmith/vanixiets --skill meta-agent-teams

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: meta-agent-teams
Source: https://github.com/cameronraysmith/vanixiets/tree/main/modules/home/ai/skills/src/claude/meta-agent-teams
Command: npx skills add https://github.com/cameronraysmith/vanixiets --skill meta-agent-teams

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides conventions for orchestrating persistent agent teams, enabling multi-agent coordination through shared task lists and messaging, moving beyond simple DAG dispatch.

Core Features & Use Cases

Persistent Team Coordination: Manages lifecycle of agent teams for complex, ongoing tasks.
Shared Task Lists: Mirrors ephemeral team coordination with persistent issue tracking for better visibility and management.
Lifecycle Management: Implements a robust orient, work, checkpoint, shutdown, and replace cycle for continuous agent operation.
Use Case: Coordinate a team of agents to continuously monitor and respond to a set of related GitHub issues, ensuring consistent progress and context.

Quick Start

Use the meta-agent-teams skill to spawn a new teammate for the current task.

Frequently Asked Questions about meta-agent-teams

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

FAQPage Schema

How do I coordinate multi-agent systems for continuous task management?▼

Persistent agent teams coordinate multi-agent systems by using shared task lists and messaging to manage ongoing tasks, moving beyond simple DAG dispatch for continuous operation.

What is the lifecycle management cycle for persistent agent teams?▼

The lifecycle management cycle for persistent agent teams consists of orient, work, checkpoint, shutdown, and replace phases to ensure continuous agent operation and context preservation.

How do I mirror ephemeral multi-agent coordination tasks to persistent issue tracking?▼

You can mirror ephemeral team coordination tasks to persistent issue tracking by integrating the agent teams with issue tracking systems via beads issues, ensuring better visibility and management.

Can I use multi-agent coordination to continuously monitor GitHub issues?▼

Yes, you can coordinate a team of agents to continuously monitor and respond to related GitHub issues, ensuring consistent progress and context tracking throughout the lifecycle.

What is the best way to manage teammate lifecycle in multi-agent orchestration?▼

The best way to manage teammate lifecycle in multi-agent orchestration is by implementing a robust orient, work, checkpoint, shutdown, and replace cycle to maintain continuous agent operation.

Does multi-agent orchestration work without simple DAG dispatch?▼

Yes, multi-agent orchestration works without simple DAG dispatch by using persistent team coordination with shared task lists and messaging to handle complex, ongoing tasks.