manychat-cli

What This Skill Does

The ManyChat CLI skill provides a robust, interface-driven approach for OpenClaw agents to interact with the ManyChat API. Rather than relying on fragile manual web interactions, this skill uses a specialized Python wrapper located at /Users/danielfoch/manychat-cli/manychat_cli.py. It allows the AI to perform complex CRM operations such as subscriber lookups, precise tag management, custom field data manipulation, and the triggering of pre-defined flows or content. Furthermore, the skill supports the execution of JSON-based playbooks, enabling multi-step automation chains (e.g., finding a lead, updating their status, and triggering a personalized welcome flow) in a single command.

Installation

To integrate this skill into your OpenClaw environment, ensure the skill repository is available and run the following command in your terminal: clawhub install openclaw/skills/skills/danielfoch/manychat-cli

Ensure that you have your ManyChat API credentials ready. Before executing any commands, you must configure your environment by setting the MANYCHAT_API_KEY variable. If you are operating in a custom network environment or using a proxy, you may also set the MANYCHAT_BASE_URL to point to the correct endpoint. The script is designed to be executed directly from the installation directory.

Use Cases

This skill is designed for high-volume CRM automation and lead management. Common use cases include:

• Lead Enrichment: Automatically sync external lead data into ManyChat custom fields.
• Lifecycle Marketing: Triggering specific flows based on external system events (e.g., cart abandonment or appointment booking).
• Subscriber Segmentation: Programmatically adding or removing tags based on user behavior tracked outside of ManyChat.
• Bulk Operations: Running sequential playbooks to migrate subscribers or update status flags for large user segments.

Example Prompts

1. "Find the ManyChat subscriber with the email [email protected] and tell me what tags are currently applied to their profile."
2. "Add the tag 'Verified' to the subscriber with ID 12345 and then update their 'status' custom field to 'active'."
3. "Run the sequence defined in my sample_playbook.json for the subscriber identified by '[email protected]'."

Tips & Limitations

• Safety First: Always use the --pretty flag when testing to ensure the JSON output is human-readable and easy to verify.
• Environment Variables: The skill relies entirely on your local environment configuration. If commands fail, verify the MANYCHAT_API_KEY is exported in your shell session.
• API Limits: Keep in mind that ManyChat enforces rate limits on their API. While this CLI handles JSON outputs efficiently, avoid launching excessive parallel requests in rapid succession to prevent throttling.
• Security: Ensure your API key is stored securely using environment management tools; avoid hardcoding it into your playbooks or script files.