S2G Visual Automation Bridge for Openclaw

A bidirectional WebSocket bridge that transforms S2G visual workflows into executable tools for AI agents.

helmutsreinis
v1.0.0
Feb 24, 2026
2
1.5k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install s2g-workflow-engine

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 s2g-workflow-engine 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 S2G Visual Automation Bridge?

S2G is a comprehensive visual workflow automation platform that functions as a versatile toolbox for developers. By leveraging Openclaw Skills, users can connect the OpenClaw orchestrator to S2G's extensive node library via a secure WebSocket connection. This integration allows an agent to discover and execute over 200 specialized nodes—ranging from database connectors and format converters to cryptographic utilities—as if they were local functions.

The integration relies on a dedicated OpenClaw node within the S2G designer, which acts as a bridge endpoint. This setup enables Openclaw Skills to facilitate real-time data forwarding and tool execution, providing a professional-grade interface for complex automation tasks without the need for manual API wrapping for every individual service.

S2G Visual Automation Bridge Use Cases

  • Executing complex database queries across SQL Server, PostgreSQL, or MongoDB within an agentic workflow.
  • Generating secure passwords, UUIDs, and hashes using dedicated utility nodes.
  • Managing graph-based knowledge stores or vector databases for enhanced RAG capabilities.
  • Performing advanced data transformations such as XML to JSON conversion or Markdown rendering.
  • Orchestrating multi-model AI workflows by bridging OpenClaw with S2G's AI-specific nodes like Claude, GPT, and Gemini.

How S2G Visual Automation Bridge Works

  1. The user configures a workflow in the S2G designer and adds an OpenClaw node connected to various tool nodes.
  2. A local bridge script is started, establishing a WebSocket connection to the S2G platform using a specific Node ID.
  3. The bridge performs auto-discovery of all sibling nodes connected to the OpenClaw node in the visual workspace.
  4. When the AI agent needs to perform a task, it sends a request to the local bridge HTTP API.
  5. The bridge forwards the request to S2G, which executes the logic and returns the structured JSON output to the agent.

S2G Visual Automation Bridge Setup

Prerequisites

  • An active S2G account at s2g.run.
  • Node.js installed on your local environment.

Installation

# Install the WebSocket dependency
npm install ws

# Copy the bridge script to your local workspace
cp scripts/s2g-bridge.js ~/.openclaw/workspace/s2g-bridge.js

# Run the bridge with your S2G Node ID
S2G_WS_HOST=wss://s2g.run S2G_NODE_ID=YOUR_UUID_HERE node s2g-bridge.js

S2G Visual Automation Bridge Data Schema & Taxonomy

The bridge organizes data flow through a structured JSON protocol and a local HTTP API. Below is the primary data organization:

Component Type Description
Node ID UUID The unique identifier for the specific S2G node to execute.
Params Object Key-value pairs matching the input fields of the target S2G node.
Output Object The resulting data from the S2G execution, including the result payload.
_TriggeredTags Array Metadata identifying execution success or specific error states.
Health Status JSON Real-time connection status and uptime monitoring via the /health endpoint.

S2G Visual Automation Bridge Advanced Features

  • Input Forwarding: Automatically push upstream workflow data from S2G triggers directly to connected Openclaw Skills.
  • Fuzzy Matching: Execute nodes by their display names instead of UUIDs for more intuitive agent interactions.
  • Auto-Reconnect: Built-in connection lifecycle management that automatically retries WebSocket connections every 5 seconds.
  • Live View Monitoring: Real-time visualization of message flows and client connections directly within the S2G node properties panel.
  • Multi-Agent Orchestration: Support for connecting multiple agents to a single workflow for collaborative task execution.

SKILL.md


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