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openclaw-agent-teams

Design and configure AI agent teams with hierarchy, SOUL.md files, and memory architecture.

2|Updated Mar 7, 2026
Search Tags:#AI architecture#memory management#agent teams#SOUL.md#team hierarchy#cron scheduling
One-click install
npx skills add https://github.com/TheophilusChinomona/claude-openclaw-plugin --skill openclaw-agent-teams
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: openclaw-agent-teams
Source: https://github.com/TheophilusChinomona/claude-openclaw-plugin/tree/main/plugins/openclaw/skills/openclaw-agent-teams
Command: npx skills add https://github.com/TheophilusChinomona/claude-openclaw-plugin --skill openclaw-agent-teams

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the complex process of designing, building, and operating sophisticated AI agent teams, ensuring efficient collaboration and clear operational structures.

Core Features & Use Cases

  • Team Hierarchy Design: Define clear roles and reporting structures (Orchestrator, Team Lead, Specialist).
  • Agent Character Definition: Create detailed SOUL.md files for each agent's identity, expertise, and rules.
  • Tool & Permission Management: Implement least-privilege access for agent tools.
  • Memory Architecture: Understand and configure daily logs, curated MEMORY.md, and shared team memory.
  • Cron Scheduling: Optimize agent task execution with staggered schedules.
  • Use Case: You need to build a multi-agent system for market research. This Skill will guide you in defining the orchestrator, research specialists, and analysts, assigning them appropriate tools, and structuring their memory and communication for optimal performance.

Quick Start

Use the openclaw-agent-teams skill to design a new agent team hierarchy with an orchestrator and two specialist agents.

Frequently Asked Questions about openclaw-agent-teams

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

FAQPage Schema
How do I design an AI agent team hierarchy for multi-agent systems?▼

Create SOUL.md files to define each AI agent's identity, expertise, and operational rules. These files serve as the foundational configuration for establishing agent character, behavioral boundaries, and specialized capabilities within the team.

What is the best way to manage memory architecture for AI agent teams?▼

Manage AI agent team memory architecture by configuring daily logs, a curated MEMORY.md file, and shared team memory spaces. This approach ensures agents retain relevant context and collaborate effectively over time.

How do I configure cron scheduling for multi-agent task execution?▼

Configure cron scheduling by assigning staggered schedules to optimize multi-agent task execution. This prevents resource contention and ensures operational workflows run smoothly across your AI agent teams.

How do I implement least-privilege access for agent tools in an AI architecture?▼

Implement least-privilege access by explicitly assigning specific tools and permissions to each agent based on their role. This security practice limits agent capabilities to only what is necessary for their designated tasks within the hierarchy.

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