A powerful integration for managing Fly.io organizations, apps, and machines through a secure, automated CLI interface.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install integrate-flyio
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 integrate-flyio 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 Fly.io Integration for AI Agents?
The Fly.io integration for Openclaw Skills enables developers to manage global application infrastructure using natural language and automated workflows. By leveraging the Membrane framework, this skill abstracts the complexities of infrastructure management, allowing AI agents to interact with Fly.io resources like apps, machines, volumes, and secrets without manual API overhead.
Built for modern DevOps, this tool ensures that your AI coding agent can perform high-level operations such as scaling machines, managing deployments, and configuring DNS settings. It eliminates the friction of manual credential handling by providing a server-side authentication lifecycle that keeps your environment secure while maintaining full control over your cloud resources.
Fly.io Integration for AI Agents Use Cases
- Automated deployment of Docker containers to multiple global regions.
- Real-time monitoring and management of Fly.io machines and volumes.
- Programmatic secret management for secure application environments.
- Scaling infrastructure up or down based on AI-driven performance analysis.
- Simplifying DNS and SSL certificate configuration via automated CLI commands.
How Fly.io Integration for AI Agents Works
- The AI agent initiates a connection to Fly.io using a normalized domain or app URL.
- Membrane handles the OAuth or API key authentication process, providing a secure connection ID.
- The agent searches for specific capabilities using natural language intent to find the most efficient pre-built actions.
- Actions are executed with JSON parameters to modify or query Fly.io resources like machines or volumes.
- If a specialized task is required, the agent uses the Membrane proxy to send direct, authenticated requests to the Fly.io API.
Fly.io Integration for AI Agents Setup
First, install the Membrane CLI to enable Openclaw Skills to interact with your environment:
npm install -g @membranehq/cli@latest
Next, authenticate your agent (replace <agentType> with openclaw):
membrane login --tenant --clientName=openclaw
Ensure a connection to Fly.io is active:
membrane connection ensure "https://fly.io/" --json
Fly.io Integration for AI Agents Data Schema & Taxonomy
The skill organizes infrastructure data into a clear hierarchy, accessible through specific action IDs. Key data entities include:
| Entity | Description |
|---|---|
| App | The root container for deployments, machines, and configuration. |
| Machine | Individual VM instances running your code. |
| Volume | Persistent storage attached to machines. |
| Secret | Encrypted environment variables for sensitive data. |
| Organization | The top-level account management unit for billing and access control. |
Fly.io Integration for AI Agents Advanced Features
- Intent-based action discovery allows agents to find the best way to execute a task without hardcoded paths.
- Long-polling support with the --wait flag for managing asynchronous infrastructure state changes.
- Transparent credential refresh ensures long-running automation tasks never fail due to expired tokens.
- Direct API proxying allows for custom requests while still benefiting from Membrane's managed authentication layer.
- Multi-agent support tailored for specific harnesses like openclaw, Claude, or Windsurf.
SKILL.md
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