multi-agent-rolesProvides standardized, role-based AI agents for multi-agent systems with clear responsibilities across strategy, creative, technical, and management domains.
Install via ClawdBot CLI:
clawdbot install xiulipan/multi-agent-rolesGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 1, 2026
A marketing agency uses Strategic Planner, Content Strategist, and Creative Director agents to design and execute campaigns. The Strategic Planner sets goals and budgets, the Content Strategist creates content calendars and copy, and the Creative Director ensures visual consistency and brand alignment.
A tech startup employs Technical Architect, Full-Stack Developer, and QA Engineer agents to build and test applications. The Technical Architect designs scalable architecture, the Full-Stack Developer implements front-end and back-end code, and the QA Engineer ensures quality through testing and bug reporting.
A consulting firm utilizes Process Optimization Specialist, Data Analyst, and Project Manager agents to improve client operations. The Process Optimization Specialist analyzes workflows, the Data Analyst identifies trends and insights, and the Project Manager coordinates implementation and tracks progress.
An e-commerce company deploys Customer Support Manager, Data Analyst, and Risk Manager agents to handle inquiries and mitigate issues. The Customer Support Manager manages operations and resolves complex cases, the Data Analyst analyzes support performance, and the Risk Manager identifies and addresses potential service risks.
A product design firm leverages UX Designer, Creative Director, and Strategic Planner agents to develop and launch new products. The UX Designer conducts user research and creates prototypes, the Creative Director defines brand identity, and the Strategic Planner sets market strategy and objectives.
Offer the multi-agent system as a cloud-based SaaS platform where businesses subscribe to access predefined agent roles and workflows. Revenue is generated through monthly or annual subscription fees based on the number of agents and features used.
Provide consulting and implementation services to tailor the multi-agent system for specific client needs, such as integrating with existing tools or developing custom roles. Revenue comes from project-based fees and ongoing support contracts.
Partner with marketing, consulting, or tech agencies to embed the multi-agent system into their service offerings, enabling them to deliver enhanced solutions to clients. Revenue is generated through licensing fees or revenue-sharing agreements with partners.
💬 Integration Tip
Start by integrating one or two core agent roles into existing workflows to test collaboration, then scale up based on performance and feedback.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capabi...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.