Render Cloud Management for Openclaw

A zero-dependency Python skill for managing Render services, databases, and deployments directly through the Render API.

aiwithabidi
v1.0.0
Mar 6, 2026
0
440
2

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install render

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install render 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 Render Cloud Management?

The Render skill provides a robust interface for AI agents to interact directly with the Render cloud platform. It enables seamless management of web services, static sites, cron jobs, and PostgreSQL databases without requiring external libraries. This makes it an ideal addition to the library of Openclaw Skills for developers looking to automate infrastructure management through their AI assistants.

This skill focuses on efficiency and security, using only the Python standard library to ensure a small footprint and high reliability. It allows users to handle everything from service creation and deployment rollbacks to environment variable configuration and domain management through simple CLI commands. By integrating this into your workflow, you can programmatically control your entire cloud infrastructure.

Render Cloud Management Use Cases

  • Automated deployment of web services or static sites from Git repositories.
  • Provisioning and managing PostgreSQL databases for new project environments.
  • Scaling instance counts or changing service plans based on demand.
  • Managing environment variables and secret groups across multiple services.
  • Monitoring service health through log access and deployment status tracking.

How Render Cloud Management Works

  1. The user configures the RENDER_API_KEY as an environment variable to authenticate requests.
  2. The AI agent calls the render.py script with specific command arguments such as 'services' or 'deploy'.
  3. The skill utilizes the Python standard library to send secure HTTPS requests to the Render API.
  4. Render processes the request, whether it is creating a resource or fetching status data.
  5. The skill returns a structured JSON response to the agent, providing immediate feedback on the operation's success.

Render Cloud Management Setup

To use this tool within the Openclaw Skills framework, ensure you have your Render API key ready.

# Set your API key
export RENDER_API_KEY='your_render_api_token'

# Test the connection by listing services
python3 scripts/render.py services --limit 5 --human

Render Cloud Management Data Schema & Taxonomy

The skill interacts with Render's data models and returns results in a structured format:

Data Type Description
JSON (Default) Standard output for AI agent consumption and automation.
Human-Readable Formatted tables for manual inspection via the --human flag.
Service Metadata Includes service IDs, types, names, repo links, and current status.
Deployment Logs Real-time or historical log entries for troubleshooting.

This skill does not store data locally, ensuring all sensitive infrastructure information remains on Render's secure servers.

Render Cloud Management Advanced Features

  • Deployment rollbacks to specific commit IDs for quick recovery.
  • Infrastructure-as-Code support via Blueprint synchronization.
  • Bulk environment variable management for service groups.
  • Custom domain configuration and automated SSL status checks.
  • Programmatic suspension and resumption of services to manage costs.

SKILL.md


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