A comprehensive skill for generating images, videos, audio, and 3D models using Renderful through Openclaw Skills.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install renderful-generation
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 renderful-generation 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 Renderful Generation?
The Renderful Generation skill provides a robust interface for AI agents to interact with the Renderful platform for high-quality multimedia production. By utilizing Openclaw Skills, developers can enable their agents to perform complex tasks like model discovery and deterministic polling for generation status. This skill focuses on a safe, quote-first workflow that ensures resources are managed effectively before any generation occurs.
Built to be used within the Openclaw Skills ecosystem, it allows for seamless integration into larger agentic workflows where media creation is a core requirement. It supports various media formats including image, video, audio, and 3D assets, providing a unified API for diverse creative outputs.
Renderful Generation Use Cases
- Automated creation of marketing assets like images and videos.
- Generation of 3D models for game development or visualization via Openclaw Skills.
- Developing audio-visual content through autonomous AI agents.
- Cost-controlled media generation using the quote-before-generate workflow.
How Renderful Generation Works
- The agent registers itself using the registration tool to ensure proper authentication.
- The Openclaw Skills agent calls the list models tool to identify the best available model for the specific media type.
- A quote is requested to validate parameters and ensure the user is aware of the cost.
- Once the quote is accepted, the generation process is triggered.
- The agent polls the status until the media is ready, handling any potential funding issues using the built-in fallback logic.
Renderful Generation Setup
To set up this skill within your Openclaw Skills environment, you need to register your agent and configure your API access. Use the following commands to get started:
# Register your agent with Renderful
openclaw call renderful_register_agent
# Verify your balance to ensure successful generation
openclaw call renderful_get_balance
Renderful Generation Data Schema & Taxonomy
The skill uses a structured data format to manage media requests and responses. Key data fields include:
| Field | Description |
|---|---|
| model_id | The unique identifier for the selected multimedia model |
| status | Current lifecycle state of the generation request |
| shortfall | The amount needed if funds are insufficient during an Openclaw Skills workflow |
| webhook_url | Optional endpoint for receiving asynchronous completion notifications |
Renderful Generation Advanced Features
- Automatic detection and handling of 402 Payment Required errors.
- Deterministic polling mechanisms designed for agent-based planners.
- Webhook configuration for efficient, non-blocking media generation.
- Built-in support for multiple media modalities within the Openclaw Skills framework.
SKILL.md
Loading
Related Openclaw Skills
Renderful AI
A crypto-friendly API integration for generating professional-grade AI images and videos using state-of-the-art models.
Win Mouse Native
A high-performance Windows automation skill for native mouse control using user32.dll system calls.
Canvas Skill
A powerful tool for rendering and managing interactive HTML content across connected OpenClaw device nodes.
EasyBuy Skillpack
A suite of automation tools for Amazon including order scraping, price alerts, and automated customer support messaging.
LangExtract Search
A comprehensive search and structured data extraction workflow powered by Zhipu AI and DuckDuckGo.
ArduPilot Drone Control
A specialized interface for controlling ArduPilot flight controllers via pymavlink for autonomous mission execution.
Featured*
