openclaw-genie

Connect AI agents to messaging platforms via OpenClaw for in-memory processing.

17|2|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/fcsouza/agent-skills --skill openclaw-genie
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: openclaw-genie
Source: https://github.com/fcsouza/agent-skills/tree/main/skills/openclaw-genie
Command: npx skills add https://github.com/fcsouza/agent-skills --skill openclaw-genie

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openclaw, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill allows you to integrate OpenClaw, an AI agent gateway, into your AI coding agent's workflows, enabling connectivity to multiple messaging platforms and powerful in-memory processing capabilities.

Core Features & Use Cases

  • Multi-platform Integration: Connect your AI agent to 38+ messaging platforms including Discord, Telegram, WhatsApp, Slack, and more.
  • In-memory Processing: Leverage OpenClaw's in-memory search capabilities for quick and efficient data retrieval.
  • Custom Tools and Hooks: Execute custom tools and hooks for various tasks like sending messages, launching sub-agents, and accessing additional resources.
  • Deployment Options: Support for local, Docker, and cloud deployment options.
  • Use Case: Imagine you need your AI agent to interact with your Discord server. With this Skill, you can easily set up a connection to Discord, send messages, and interact with the gateway's tools and hooks.

Quick Start

Set up OpenClaw by running the following command:

openclaw onboard --install-daemon

Frequently Asked Questions about openclaw-genie

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I connect my AI agent to Discord or Telegram messaging platforms?

To connect an AI agent to messaging platforms, this Skill integrates the OpenClaw gateway to route interactions across 38+ channels like Discord and Telegram. It requires OpenClaw to be installed and configured first. You can then execute custom tools to send messages.

Can I use in-memory processing for quick data retrieval with AI agents?

Yes, in-memory processing for data retrieval is supported by leveraging OpenClaw's search capabilities within your agent workflows. This enables quick and efficient handling of routing and data access without persistent storage overhead.

What's the best way to integrate an AI agent gateway for multi-platform automation?

Integrating an AI agent gateway for automation is best handled by connecting OpenClaw to your agent workflows, which enables custom tool execution and sub-agent launching. You can deploy locally, via Docker, or in the cloud depending on your automation scale.

Do I need OpenClaw installed before setting up multi-platform messaging integration?

Yes, OpenClaw must be installed and configured as a prerequisite before setting up messaging platform integration. You can quickly set it up by running the `openclaw onboard --install-daemon` command to establish the required gateway.

Does this approach support executing custom tools and hooks for AI agents?

Yes, executing custom tools and hooks for AI agents is fully supported through the OpenClaw gateway. This allows you to automate various tasks like sending messages, launching sub-agents, and accessing additional resources directly from your workflows.

What deployment options are available for AI agent messaging gateways?

Deployment options for AI agent messaging gateways include local, Docker, and cloud environments. This flexibility allows you to scale your multi-platform integration and in-memory processing setup according to your infrastructure requirements.