A high-performance CLI toolset for managing tensors and building neural networks with native Vulkan GPU support.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install rasptorch-cli
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install rasptorch-cli using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Rasptorch is a powerful AI development tool designed to bridge the gap between low-level tensor operations and high-level model building. As part of the ecosystem of Openclaw Skills, it provides developers with an agent-native interface to manage machine learning workflows directly from the command line. Whether you are running on Windows or Linux, Rasptorch ensures optimal performance by intelligently switching between CPU and GPU compute via its Vulkan integration.
The skill is built for automation, prioritizing JSON outputs that allow AI agents to parse and react to machine learning state changes in real-time. From simple tensor manipulation to complex Transformer and CNN architectures, Rasptorch offers a streamlined path for rapid prototyping and model training without the overhead of heavy IDEs.
To get started with this entry in the Openclaw Skills library, ensure you have python and the rasptorch binary available in your path.
# Verify installation and GPU status
rasptorch --json info
# Alternative invocation if script is not in PATH
python -m rasptorch.CLI.cli --json info
Rasptorch utilizes a structured JSON schema for all outputs and handles persistent data through standard file formats.
| Data Type | format | Description |
|---|---|---|
| Command Output | JSON | Structured data including vulkan_available, vulkan_status, and tensor metadata. |
| Model Storage | .pkl | Python pickle files used for saving and loading model weights and architectures. |
| Model Registry | In-Memory | A session-based registry mapping model-id to active neural network instances. |
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