Multi Agent Workflow

What it does

The multi-agent-workflow skill orchestrates a sequence of AI agent calls, passing data between them to achieve complex tasks. It allows you to define dependencies and order of execution for multiple agents, creating automated workflows. This enables the creation of sophisticated processes that leverage the strengths of different specialized agents.

When to use it

• Automated Content Creation: Generate a blog post by first having an agent brainstorm topics, then another draft content, followed by a third to edit and optimize.
• Complex Research Tasks: Break down research projects into stages – one agent for initial data gathering, another for analysis, and a final one for report writing.
• Lead Qualification & Outreach: Use one agent to identify potential leads, a second to enrich their profiles with information, and a third to draft personalized outreach messages.
• Code Generation Pipelines: Chain agents together where one generates code snippets, another tests them, and a third refactors for readability.

Key capabilities

• Sequential Agent Execution: Define the order in which agents are called.
• Data Passing: Automatically pass data (outputs) from one agent to the next.
• Dependency Management: Ensure agents execute only after their dependencies have been met.

Example prompts

• "Create a workflow that first generates three marketing slogans, then selects the best one based on sentiment analysis."
• "Build an agent chain to summarize this document and translate it into Spanish."
• "I want to create a process where Agent A identifies potential customers, Agent B researches them, and Agent C drafts introductory emails.”

Tips & gotchas

The effectiveness of this skill relies heavily on the individual capabilities of the agents being chained together. Ensure each agent in your workflow is well-defined and performs its task reliably.