A high-performance Python tool for managing Make automation scenarios, executions, connections, and data stores through a zero-dependency API interface.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install make
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 make 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 Make (Integromat) Automation?
The Make skill for Openclaw Skills empowers developers to bridge the gap between AI agents and visual automation workflows. It provides a robust command-line interface to interact with the Make (formerly Integromat) API, allowing for the management of complex automation scenarios without leaving the terminal or agent environment. Built specifically for AI agents, this tool uses only the Python standard library, ensuring a lightweight and secure footprint for any integration.
By leveraging this skill, users can programmatically control their entire automation ecosystem. From activating scenarios to monitoring execution logs and managing webhooks, the skill provides a direct pipeline to the Make platform. This integration is essential for developers building advanced agentic workflows within the Openclaw Skills framework, providing the necessary hooks to trigger external actions and synchronize data across hundreds of apps.
Make (Integromat) Automation Use Cases
- Triggering complex multi-app visual workflows programmatically from an AI agent.
- Monitoring scenario execution history to verify the success of automated background tasks.
- Managing and updating data store records to maintain state across different integrated services.
- Scaling automation management by listing and deactivating scenarios across multiple organizations through Openclaw Skills.
- Real-time usage monitoring to track operation counts and data transfer limits for cost management.
How Make (Integromat) Automation Works
- The user provides a Make API Key and optional Zone information via environment variables.
- The script initializes a secure connection to the Make REST API using standard Python libraries.
- The AI agent or developer issues commands to query scenarios, executions, or data stores.
- The tool processes the API response and outputs structured JSON for the agent to interpret.
- Commands can be executed in human-readable mode for debugging or JSON mode for programmatic integration with Openclaw Skills.
Make (Integromat) Automation Setup
To get started with this skill, you need to set your API credentials. Obtain your API key from your Make dashboard and configure your environment:
export MAKE_API_KEY="your_api_key_here"
export MAKE_ZONE="us1.make.com" # Optional, defaults to us1
Verify the installation by listing your current scenarios:
python3 scripts/make.py scenarios --limit 10 --human
Make (Integromat) Automation Data Schema & Taxonomy
The Make skill for Openclaw Skills handles data in a structured JSON format to ensure compatibility with agent reasoning. It does not store data locally, ensuring a stateless and secure operation.
| Data Type | Description | Primary Fields |
|---|---|---|
| Scenarios | Automation workflow definitions | id, name, status, isPaused |
| Executions | Run history and status logs | id, scenarioId, status, duration |
| Data Stores | Internal key-value storage | id, name, recordsCount, size |
| Webhooks | External trigger endpoints | id, name, url, scenarioId |
| Usage | Platform consumption metrics | operations, dataTransfer, storage |
Make (Integromat) Automation Advanced Features
- Scenario Blueprint Export: Programmatically export scenario definitions for version control or migration.
- Connection Management: View and manage app connections to ensure integrations are authorized and active within Openclaw Skills.
- Data Store CRUD: Full Create, Read, Update, and Delete capabilities for Make's internal data storage.
- Organization and Team Oversight: Manage users and organizations to control access and resource allocation.
- Flexible Output: Toggle between raw JSON for agent consumption and formatted tables for human review.
SKILL.md
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