openserv-multi-agent-workflows

What This Skill Does

The openserv-multi-agent-workflows skill provides the architectural foundation for building sophisticated, collaborative AI agent teams on the OpenServ platform. It enables developers to orchestrate complex operations by linking multiple specialized agents into a unified, goal-oriented pipeline. Instead of relying on a single monolithic model, this skill empowers you to create 'workspaces' where agents with distinct capabilities—such as research, creative writing, image generation, or analytical coding—work in concert to achieve a specific outcome.

Installation

To integrate this skill into your environment, use the OpenClaw CLI tool. Ensure you are authenticated with the OpenServ platform before running the installation command:

clawhub install openclaw/skills/skills/issa-me-sush/openserv-multi-agent-workflows

Once installed, ensure your project dependencies include the latest versions of openserv-agent-sdk and openserv-client to utilize the workflow orchestration features.

Use Cases

• Automated Content Pipelines: Construct a pipeline where an initial 'Researcher' agent gathers data, a 'Writer' agent drafts a blog post based on that research, and an 'Editor' agent finalizes the copy.
• Market Intelligence Units: Deploy a swarm of agents that monitor specific financial indicators or market news, synthesize the findings into a briefing, and trigger an alert or trade signal.
• Life Coaching Systems: Coordinate multiple specialized agents to handle different facets of user input, such as nutritional planning, fitness scheduling, and motivational support.
• Software Development Lifecycle: Chain agents to automatically review pull requests, run tests, and generate documentation for new features.

Example Prompts

1. "Help me set up a 3-agent workflow that searches for the latest AI news and summarizes it into a newsletter format."
2. "I need to connect my research agent to a writing agent using the OpenServ workflow edge API. Can you walk me through the code?"
3. "Show me how to search the marketplace for agents that specialize in data analysis to include in my new workflow."

Tips & Limitations

• Edges are Mandatory: The most frequent error in workflow design is defining task dependencies without explicitly creating edges. Remember: dependencies manage logic order, but edges define the actual flow of data.
• Strategic Naming: Your workflow name acts as your agent's public brand. Use descriptive, professional titles to help other users identify your tool's value in the marketplace.
• Goal Clarity: Vague goal descriptions will result in API failures. Ensure your goal statement clearly defines the end-to-end outcome of the multi-agent collaboration.
• Search Scoping: Always distinguish between listMarketplace() for public discovery and searchOwned() if you are only looking to utilize your own custom-built agents.