A specialized skill designed to bridge AI agents with Flowise chatflows via REST API for automated message prediction and session management.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-flowise-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install openclaw-flowise-skill 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 Flowise AI Workflow Integration?
The Flowise skill provides a robust interface for interacting with Flowise AI workflows. By integrating Openclaw Skills into your workflow, you can programmatically trigger complex chatflows, query RAG-based knowledge bases, and handle multi-turn conversations. It allows your agent to act as a client for self-hosted or cloud-based Flowise instances, making it easier to leverage low-code AI orchestration within a developer-centric environment.
This integration is particularly useful for developers who want to offload complex logic or specialized AI tasks to Flowise while maintaining control through a CLI-friendly agent. Openclaw Skills ensures that the transition between local processing and remote AI execution is seamless and well-documented.
Flowise AI Workflow Integration Use Cases
- Automating responses for technical support by routing queries to specialized RAG flows.
- Managing complex multi-turn AI conversations using persistent session IDs.
- Executing structured automation tasks through Flowise workflows that accept custom form inputs.
- Streaming long-form content generation directly from an AI agent to the user terminal.
How Flowise AI Workflow Integration Works
- The agent scans the TOOLS.md configuration to retrieve the Flowise server URL, API key, and available flow mappings.
- Upon receiving a user request, the agent selects the most relevant flow based on the task description or explicit user mention.
- The skill constructs a curl-based REST API request to the /api/v1/prediction endpoint with the necessary JSON payload.
- If authentication or custom variables are required, the agent includes these in the headers or override configurations.
- The response is parsed, and the output is delivered to the user, with support for streaming and file uploads if applicable.
Flowise AI Workflow Integration Setup
To get started with this integration from Openclaw Skills, add your server details to your TOOLS.md file:
### Flowise
- Server: http://localhost:3000
- API Key: your-api-key-here
- Default Flow ID: your-default-flow-id
You can also define a table of specific flows to help the agent route requests correctly:
#### Flows
| Flow ID | Name | Purpose | Parameters |
|---------|------|---------|------------|
| abc123 | Support Bot | Customer service | - |
Flowise AI Workflow Integration Data Schema & Taxonomy
The skill manages data primarily through the configuration registry and API response objects:
| Component | Description |
|---|---|
| Flow Registry | A table in TOOLS.md mapping Flow IDs to specific agent tasks and purposes. |
| Prediction Payload | JSON structure containing question, sessionId, and optional overrideConfig. |
| Form Object | Structured key-value pairs used for flows requiring specific input schemas. |
| Session Tracking | Mapping of user IDs to Flowise sessionId strings to maintain context. |
Flowise AI Workflow Integration Advanced Features
- Support for real-time streaming to handle long-running LLM generation without timeouts.
- Configurable parameter overrides allowing agents to dynamically adjust temperature or max tokens per call.
- Multipart/form-data support for seamless document and image uploads to Flowise nodes.
- Advanced session management to ensure conversation continuity across different interaction points within Openclaw Skills.
SKILL.md
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