flowise
Interact with Flowise AI workflows via REST API. Use when user mentions Flowise, chatflows, or wants to send messages to Flowise bots/agents. Supports listing flows, sending predictions, and managing conversations.
Why use this skill?
Connect OpenClaw to Flowise AI to automate chatflows, manage conversation memory, and run complex AI agents. Install the Flowise skill for seamless workflow integration.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/tianmu/openclaw-flowise-skillWhat This Skill Does
The Flowise skill for OpenClaw provides a robust interface for interacting with Flowise AI chatflows directly through the OpenClaw agent platform. By leveraging the Flowise REST API, this skill allows users to trigger complex AI workflows, manage conversation memory across sessions, and execute specialized tasks defined in your Flowise deployments. It simplifies the integration by automatically mapping user requests to specific chatflows based on your TOOLS.md configuration, allowing for seamless context switching between customer service, code assistance, and document retrieval agents.
Installation
To integrate this skill, use the following command in your OpenClaw environment:
clawhub install openclaw/skills/skills/tianmu/openclaw-flowise-skill
After installation, you must configure your server connection in your TOOLS.md file. Ensure you define your server URL, API key, and populate the Flows table with your specific Flow IDs and corresponding use cases so that the agent can intelligently route user requests to the correct model or workflow.
Use Cases
- Automated Customer Support: Route inquiries to a specialized support flow that maintains context using
sessionIdfor consistent user interactions. - Technical Development Assistance: Trigger code generation or debugging agents directly from your terminal, passing custom script parameters via
overrideConfig. - Knowledge Retrieval: Query RAG-enabled document assistants to summarize technical manuals or extract specific information from company knowledge bases.
- Complex Task Chaining: Chain multi-step workflows by calling consecutive Flowise endpoints while maintaining state between them.
Example Prompts
- "Use the code assistant flow to debug this function: [paste code here]"
- "Ask the customer support bot about order status for order ID 98765."
- "Summarize the documentation in my project folder using the document assistant."
Tips & Limitations
- Configuration is Key: Keep your
TOOLS.mdupdated. If you add new flows in Flowise, ensure they are registered in the configuration table for the agent to find them. - Security: Always treat your API Key as sensitive. Store it securely and never expose your
TOOLS.mdfile in public repositories. - Streaming: Enable
streaming: truein your requests if you need real-time feedback for long-running generation tasks. - Limitations: This skill relies on the stability of your local or remote Flowise instance; ensure network access is stable to avoid timeouts during heavy RAG operations.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-tianmu-openclaw-flowise-skill": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api