Automate multi-vendor lab protocols with PyLabRobot's LiquidHandler abstraction.
npx skills add https://github.com/shushuzn/Rairos --skill pylabrobot-shushuzn
Please help me install this Agent Skill. Skill: pylabrobot Source: https://github.com/shushuzn/Rairos/tree/main/skills/pylabrobot Command: npx skills add https://github.com/shushuzn/Rairos --skill pylabrobot-shushuzn
This Skill helps you build reproducible, hardware-controlled laboratory automation without rewriting protocols for each vendor or device.
Initialize a LiquidHandler with an appropriate backend and deck, then set up your labware resources and run your first simulated protocol end-to-end.
High-intent search queries and answers about installing and using this skill.
Automate liquid handling across vendors by using a unified Python interface that abstracts pipetting, aspirating, and dispensing commands. This prevents rewriting protocols for each device while tracking volume state for correctness.
Vendor-agnostic lab automation provides a single LiquidHandler abstraction in Python to control devices from different manufacturers. It standardizes pipetting, serial dilution, and resource management into one reproducible protocol flow.
Yes, you can validate lab automation protocols using simulation-first support. This enables deterministic state tracking for multi-device workflows, allowing you to test liquid handling and resource management before execution.
Manage deck resources by representing plates, tips, troughs, and tubes in a consistent spatial resource model. This allows you to coordinate analytical equipment like plate readers with material-handling devices across workflows.
Yes, the Python SDK coordinates multi-instrument automation including plate readers, heater shakers, incubators, centrifuges, and pumps. It applies a unified interface to manage these analytical and material-handling devices together.
Standardize pipetting and serial dilution workflows by building reproducible protocols with a Python interface. This approach manages volume state and labware resources consistently, eliminating the need for device-specific code.
SciMate-AICoordinate cross-backend laboratory automation for pipetting, incubation, and data capture.
LeonChaoXCoordinate lab equipment workflows with a unified Python interface and simulation validation.
jackspaceControl liquid handlers and lab devices via a Python SDK.
swaruplabOrchestrate diverse lab devices through a single Python API.
