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make

Make (formerly Integromat) automation platform — manage scenarios, trigger runs, monitor executions, manage connections, and handle data stores via the Make API. Build and manage visual automations, monitor execution logs, manage team resources, and trigger workflows. Built for AI agents — Python stdlib only, zero dependencies. Use for visual workflow automation, scenario management, execution monitoring, integration management, and no-code automation.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/aiwithabidi/make
Or

What This Skill Does

The Make (formerly Integromat) skill is a powerful automation bridge that allows your AI agent to interact directly with the Make.com platform. It enables the agent to act as a controller for complex visual workflows, managing everything from scenario triggers and execution monitoring to data store management and organizational oversight. By leveraging the Make API, this skill allows the agent to orchestrate multi-step business processes without manual intervention, making it an essential tool for scaling operational tasks. The skill is designed for robustness, utilizing Python's standard library and zero external dependencies, ensuring compatibility and security across different environments.

Installation

To install this skill, run the following command in your terminal: clawhub install openclaw/skills/skills/aiwithabidi/make Ensure your MAKE_API_KEY is configured in your environment variables to allow the agent to authenticate with your Make account. Optionally, set MAKE_ZONE if your organization is hosted on a specific regional node.

Use Cases

  • Automated Operations: Trigger complex backend workflows (e.g., lead processing, invoice generation) based on user requests.
  • Monitoring & Alerts: Have your agent proactively check scenario execution logs and notify you of failures or bottlenecks.
  • Data Management: Read and write information to Make Data Stores to maintain state between different automation tasks.
  • Team Management: List organizations and user permissions to audit access rights via the AI interface.

Example Prompts

  1. "Check the execution logs for the 'Client Onboarding' scenario. Did any runs fail in the last 24 hours?"
  2. "Trigger the 'Sync CRM to Slack' scenario immediately, then report back once the execution is complete."
  3. "List all records in the 'Inventory' data store and tell me which items have a quantity below five."

Tips & Limitations

  • API Limits: Keep in mind that heavy polling of execution logs may impact your Make API rate limits.
  • Security: Ensure your MAKE_API_KEY has the minimum necessary scopes to perform its intended tasks to follow the principle of least privilege.
  • Automation Design: While the agent can trigger scenarios, it is best to keep business logic inside Make's visual builder and use this skill primarily as a command-and-control interface.

Metadata

Stars4473
Views0
Updated2026-05-01
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-aiwithabidi-make": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#automation#workflow#api#integration#management
Safety Score: 4/5

Flags: network-access, external-api

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