A zero-dependency Python skill for managing Fly.io edge infrastructure including apps, machines, volumes, and secrets via the Machines API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install 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 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 Edge Deployment?
The Fly.io skill is a specialized tool designed to bridge the gap between AI agents and global edge infrastructure. It allows for full lifecycle management of applications on the Fly.io platform, utilizing the Machines API to control individual virtual machine instances, persistent storage, and network configurations. As part of the Openclaw Skills ecosystem, it emphasizes performance and simplicity by relying solely on the Python standard library.
This skill enables developers to deploy containers globally, scale resources to zero when not in use, and manage secure secrets without leaving their automation environment. By integrating this into your Openclaw Skills library, you gain the ability to programmatically orchestrate complex cloud deployments with minimal overhead and high reliability.
Fly.io Edge Deployment Use Cases
- Deploying and updating containerized applications across global edge regions.
- Automating cost-saving measures by scaling machines up or down based on demand.
- Provisioning and attaching persistent storage volumes for stateful applications.
- Managing SSL/TLS certificates and secure environment variables for production-grade security.
- Monitoring infrastructure health and machine status through automated health checks.
How Fly.io Edge Deployment Works
- The skill initializes by authenticating with the Fly.io platform using the FLY_API_TOKEN environment variable.
- It interfaces with the Fly.io Machines API to send RESTful requests for resource management.
- Users issue commands via the Python-based CLI to perform actions like creating apps or starting machines.
- The skill processes the API response and outputs data in either structured JSON for automation or a human-readable format for developers.
- All operations are stateless, ensuring that no sensitive data is stored locally within the Openclaw Skills environment.
Fly.io Edge Deployment Setup
To get started with the Fly.io skill, ensure you have an active Fly.io account and an API token.
- Set your Fly.io API token as an environment variable:
export FLY_API_TOKEN="your_fly_api_token_here"
- Verify the installation by listing your existing apps:
python3 scripts/flyio.py apps --limit 10 --human
Fly.io Edge Deployment Data Schema & Taxonomy
The Fly.io skill organizes data based on the Fly.io resource hierarchy. All outputs are returned as JSON objects to ensure compatibility within Openclaw Skills workflows.
| Resource | Key Attributes | Purpose |
|---|---|---|
| Apps | app_name, org_slug, status | High-level container for services |
| Machines | id, region, image, guest_config | Individual compute instances |
| Volumes | name, size_gb, region | Persistent disk storage |
| Secrets | label, created_at | Secure environment configuration |
| Certificates | hostname, check_status | SSL/TLS management |
Fly.io Edge Deployment Advanced Features
- Support for canary deployments and rolling updates to ensure high availability.
- Auto-stop functionality to scale machines to zero during periods of inactivity.
- Detailed region-specific provisioning for low-latency edge performance.
- Comprehensive secret management for injecting sensitive environment variables securely.
- Zero-dependency architecture ensuring maximum compatibility and speed across Openclaw Skills installations.
SKILL.md
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