LaunchKit · 2026
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openserv-multi-agent-workflows

Multi-agent workflow examples to work together on the OpenServ Platform.

0
969 downloads
by @issa-me-sush

Setup & Installation

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

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install openserv-multi-agent-workflows

Version History

v1.0.2Feb 16, 2026 - Version note by skill developer:

- No changes detected in this release; documentation, examples, and workflow recommendations remain the same. - Version bump to 1.0.2 with no modifications to files or content.

What This Skill Does

Provides patterns and examples for building multi-agent workflows on the OpenServ Platform. Covers agent discovery via the marketplace, task dependency chains, and workflow graph construction using edges. Includes runnable pipeline examples from a simple 2-agent blog workflow to a 6-agent life coaching system.

Workflow edges enforce actual execution order and data flow between agents, which task dependencies alone do not guarantee on the OpenServ Platform.

When to use it

  • Automating a research-then-write blog pipeline with two marketplace agents
  • Running parallel content creation across research, writing, and image generation agents
  • Discovering specialized agents by capability and wiring them into a new workflow
  • Setting up conditional branching so rejected tasks route to a handler instead of proceeding
  • Combining fan-out agent outputs into a single final task for report generation

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Build a two-agent pipeline that researches a topic and writes a blog post

AGENT
  1. 1Call client.authenticate() to establish a session
  2. 2Search for research and writing agents using client.agents.listMarketplace({ search: 'research' }) and listMarketplace({ search: 'content writer' })
  3. 3Create the workflow with client.workflows.create(), defining a research task and a writing task with the writing task listing the research task in its dependencies
  4. 4Define edges connecting the trigger to the research task and the research task to the writing task
  5. 5Call workflows.sync() to deploy and execute the pipeline
OUTPUT

A running pipeline where the research agent processes the topic first and passes its output to the writing agent, which produces the final blog post

Requirements

Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.

OpenServ Platform account