This skill enables users to create workflows involving multiple AI agents to achieve complex tasks. It is designed for developers and teams working with AI collaborative systems.
$ npx skills add https://github.com/openserv-labs/skills --skill openserv-multi-agent-workflowsThe Multi-Agent Workflows skill enables you to design and execute workflows where multiple AI agents collaborate to solve complex tasks on the OpenServ platform. It provides capabilities for agent discovery, managing task dependencies, and orchestrating agent coordination. This skill is built for developers and teams implementing AI agent systems that require collaborative problem-solving across multiple specialized agents. Use it to automate intricate processes by defining how agents should work together, share context, and complete interdependent tasks efficiently.
Install using the command provided and refer to examples for usage.
Create a simple two-agent workflow for writing blog posts.
Develop a three-agent content creation pipeline for generating articles and images.
Implement a complex life coaching workflow with multiple AI agents.
$ npx skills add https://github.com/openserv-labs/skills --skill openserv-multi-agent-workflowsgit clone https://github.com/openserv-labs/skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Design a multi-agent workflow in OpenServ to [TASK]. Define the roles of each agent, their interactions, and the expected output format. Agents should include: [AGENT_1_ROLE], [AGENT_2_ROLE], and [AGENT_3_ROLE]. Ensure the workflow handles [EDGE_CASE] gracefully. Use YAML format for the workflow definition.
```yaml
workflow:
name: "Customer Support Escalation Workflow"
description: "Handles customer complaints by routing to specialized agents based on issue type."
agents:
- role: "Initial Triage Agent"
task: "Classify incoming complaints into categories: billing, technical, or general."
output: "JSON with category and urgency level"
- role: "Billing Specialist Agent"
task: "Resolve billing disputes using customer data from CRM."
dependencies: "Initial Triage Agent"
output: "Resolution steps or escalation to human agent"
- role: "Technical Support Agent"
task: "Debug reported issues using system logs and provide step-by-step fixes."
dependencies: "Initial Triage Agent"
output: "Technical resolution or escalation to human agent"
edge_cases:
- "If urgency is 'critical', immediately escalate to human agent."
- "If category is 'general', route to FAQ Agent for automated responses."
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