Control laboratory liquid handlers and devices through a unified Python interface.
npx skills add https://github.com/ovachiever/droid-tings --skill pylabrobot-ovachiever
Please help me install this Agent Skill. Skill: pylabrobot Source: https://github.com/ovachiever/droid-tings/tree/main/skills/pylabrobot Command: npx skills add https://github.com/ovachiever/droid-tings --skill pylabrobot-ovachiever
PyLabRobot provides a unified Python interface to automate laboratory workflows across diverse hardware (liquid handlers, plate readers, pumps, shakers, incubators, and analytical devices), reducing manual steps and enabling reproducible experiments.
Initialize a standard workflow by setting up a STAR backend and a STARLetDeck, then perform a simple tip pickup and liquid transfer.
High-intent search queries and answers about installing and using this skill.
PyLabRobot provides a unified Python API to control liquid handlers, plate readers, pumps, shakers, incubators, and centrifuges. Initialize a backend (like STAR), set up your deck layout, and script multi-device workflows with resource tracking and state management built in.
Yes. PyLabRobot supports simulation mode, letting you validate protocol logic, deck layouts, and resource allocation without touching physical equipment. Run the same code on simulated backends, then execute on real hardware once validated.
PyLabRobot abstracts deck management and resource tracking. Define plate positions, tip racks, and containers in your layout, then the Skill automatically tracks state across liquid transfers, tip pickup, and multi-device operations, preventing conflicts and errors.
Yes. PyLabRobot abstracts hardware backends, enabling cross-backend execution. Write once in Python; run against liquid handlers, plate readers, pumps, heaters, incubators, centrifuges, and analytical equipment from different manufacturers.
PyLabRobot integrates data capture from plate readers and analytical devices into orchestrated workflows. Device integration and state tracking let you retrieve plate-read results, incubator temperatures, and centrifuge logs within reproducible protocol scripts.
Yes. PyLabRobot enables reproducible workflows through protocol scripting, state tracking, and cross-backend execution. Version-control your Python scripts, replay identical liquid transfers and device commands, and validate results consistently across runs.
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silversteinProgram liquid handling and equipment control with PyLabRobot in Python.
JosephWoodallAutomate lab protocols across Hamilton STAR, Opentrons OT-2, and Tecan EVO via a unified Python API.
