pylabrobot

Control laboratory instruments and automate workflows through a unified Python interface.

Updated May 10, 2026
One-click install
npx skills add https://github.com/Imad-Oute/ResearchForge --skill pylabrobot-imad-oute
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pylabrobot
Source: https://github.com/Imad-Oute/ResearchForge/tree/main/OpenSource-Projects/claude-scientific-skills/scientific-skills/pylabrobot
Command: npx skills add https://github.com/Imad-Oute/ResearchForge --skill pylabrobot-imad-oute

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pylabrobot, asyncio, json, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

PyLabRobot streamlines complex laboratory workflows by providing a single Python library to control diverse lab equipment and automate procedures seamlessly.

Core Features & Use Cases

  • Instrument Control: Manage liquid handlers, plate readers, incubators, centrifuges, and pumps through a unified API.
  • Protocol Automation: Enable reproducible experimental workflows, including sample prep, analysis, and environmental control.
  • Use Case: Automate a multi-step assay involving liquid transfer, incubation, centrifugation, and detection in a scripted, reliable manner.

Quick Start

Use the pylabrobot library to run a liquid transfer protocol on supported robots efficiently and reproducibly.

Frequently Asked Questions about pylabrobot

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate multi-step lab workflows involving liquid handlers and plate readers?

Lab automation for multi-device coordination is achieved through a unified Python API that scripts liquid transfer, incubation, and detection steps into reproducible workflows. Supported instruments include liquid handlers, plate readers, incubators, centrifuges, and pumps.

What is protocol scripting for lab automation and when do I need it?

Protocol scripting for lab automation is the process of defining experimental workflows programmatically to ensure reproducibility. You need it when automating complex, multi-step assays that require reliable, repeatable instrument control across diverse laboratory devices.

Can I simulate lab automation workflows before running them on physical instruments?

Simulation for lab process optimization is supported natively, allowing you to test and validate automated workflows virtually. This enables protocol scripting and multi-device coordination testing without risking physical samples or equipment.

Does pylabrobot work with Python asyncio for concurrent instrument control?

Python asyncio is a core dependency for pylabrobot, enabling concurrent and asynchronous instrument control. This facilitates multi-device coordination within your protocol scripting, ensuring synchronized operation across liquid handlers, pumps, and other connected equipment.

What's the best way to integrate diverse laboratory equipment into a single automation script?

The best way to integrate diverse lab equipment is using a unified Python interface that abstracts hardware specifics into backend modules. This approach manages liquid handlers, plate readers, and centrifuges through a single API, streamlining complex automated procedures.

What are the limitations of using Python for laboratory instrument control?

Limitations include the need for Python packages with backend modules for hardware abstraction and device-specific resources, meaning unsupported instruments lack native control. Additionally, complex multi-device coordination requires careful asynchronous programming to prevent timing conflicts.