What problem does it solve?
This Skill provides a unified Python interface to control a wide array of laboratory automation hardware, enabling the creation of complex, reproducible, and automated experimental workflows.
Core Features & Use Cases
- Hardware Agnostic Control: Control liquid handlers (Hamilton, Opentrons), plate readers, centrifuges, incubators, and more from a single Python SDK.
- Protocol Development & Simulation: Develop and test protocols using a simulation backend and visualizer before running on physical hardware.
- Resource Management: Define and manage labware, deck layouts, and resource states for precise automation.
- Use Case: Design and execute a multi-step assay protocol involving precise liquid transfers, incubation with shaking, and subsequent plate reading, all orchestrated through Python scripts.
Quick Start
Use the pylabrobot skill to initialize a liquid handler and perform a basic liquid transfer.