Juggle Workflow Automation for Openclaw

A powerful microservice orchestration engine that enables AI agents to trigger and manage automated workflows across multiple protocols.

somta
v1.0.0
Mar 18, 2026
0
976
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install juggle

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install juggle using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Juggle Workflow Automation?

Juggle is a comprehensive workflow engine designed for microservice orchestration, supporting critical protocols like Http, Dubbo, and WebService. By integrating this capability into Openclaw Skills, users can automate repetitive tasks and bridge complex service architectures using familiar scripting languages such as Python, Groovy, or JavaScript.

The skill acts as a bridge between high-level AI commands and backend execution, allowing for sophisticated process management with built-in monitoring and debugging tools. This integration ensures that your AI coding agent can not only write code but also manage the operational lifecycle of microservices through Openclaw Skills, providing a robust solution for enterprise-grade automation.

Juggle Workflow Automation Use Cases

  • Orchestrating cross-protocol service calls between Http, Dubbo, and WebService endpoints.
  • Automating long-running business processes like order fulfillment or user onboarding.
  • Integrating legacy systems into modern AI-driven workflows using custom scripts.
  • Scaling backend operations by offloading complex logic to a centralized orchestration engine.

How Juggle Workflow Automation Works

  1. The AI agent identifies a workflow trigger keyword such as execute workflow or call process within the Openclaw Skills environment.
  2. The system verifies the presence of mandatory credentials including the base URL and authentication token.
  3. The agent invokes the flow.py script to send a POST request to the Juggle OpenAPI with specific versioning and data payloads.
  4. For synchronous flows, the skill captures and returns the immediate execution result.
  5. For asynchronous tasks, the skill initiates a background polling mechanism to monitor the flow status until completion.
  6. The final execution state and data are formatted and presented back to the user or subsequent automation steps.

Juggle Workflow Automation Setup

To get started with this skill, follow these installation steps:

  1. Ensure the Juggle microservice engine is deployed and accessible.
  2. Install the necessary Python dependencies:
pip install requests>=2.28.0
  1. Configure the following environment variables for Openclaw Skills:
    • MC_JUGGLE_BASE_URL: Your Juggle API endpoint (e.g., https://api.juggle.plus).
    • MC_JUGGLE_TOKEN: Your secure authentication token.
  2. Document your specific workflow signatures in the references/flow_spec.md file to allow the AI to correctly map input parameters.

Juggle Workflow Automation Data Schema & Taxonomy

The skill utilizes a structured approach to manage workflow metadata and execution states:

Attribute Description Format
flow-version The specific version of the workflow logic String (e.g., v1)
flow-key The unique identifier for the designed flow String
flow-data Business logic parameters required for execution JSON String
flowInstanceId Unique ID generated for tracking execution instances UUID/String
flowType Determines if the process is sync or async String (sync/async)

Juggle Workflow Automation Advanced Features

  • Automatic asynchronous polling with configurable intervals (default 2s) and maximum wait times (default 60s).
  • Multi-language scripting support including Groovy, JavaScript, Python, and Java to enhance workflow logic.
  • Manual result retrieval via instance IDs, allowing for decoupled process management within Openclaw Skills.
  • Integrated monitoring and debugging toolset to trace complex microservice interactions.

SKILL.md


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