Control laboratory automation workflows across liquid handlers and simulation.
npx skills add https://github.com/dralkh/seerai --skill pylabrobot-dralkh
Please help me install this Agent Skill. Skill: pylabrobot Source: https://github.com/dralkh/seerai/tree/main/skills/pylabrobot Command: npx skills add https://github.com/dralkh/seerai --skill pylabrobot-dralkh
PyLabRobot removes the complexity of programming laboratory automation by giving you one consistent Python interface for liquid handlers, plate readers, pumps, incubators, heater shakers, and centrifuges.
Use the pylabrobot skill to set up a compatible liquid handler, define your deck resources, and run a simple transfer workflow in simulation or on hardware.
High-intent search queries and answers about installing and using this skill.
You can simulate liquid handling protocols before running them on hardware. The system provides a browser-based visualizer to inspect deck state, validate liquid volumes, and verify tip usage safely before executing on real devices.
Yes, you can simulate liquid handling protocols before running them on hardware. The system provides a browser-based visualizer to inspect deck state, validate liquid volumes, and verify tip usage safely before executing on real devices.
You can execute multi-channel pipetting and serial dilutions by defining your deck resources and calling transfer workflows. The unified interface handles aspiration, dispensing, tip management, and multi-channel operations across compatible devices.
You can execute multi-channel pipetting and serial dilutions by defining your deck resources and calling transfer workflows. The unified Python interface handles aspiration, dispensing, tip management, and multi-channel operations across compatible devices.
You can switch a simulated protocol to real hardware with minimal changes. Protocols validated in simulation using the shared backend architecture transfer directly to supported physical devices without rewriting workflow logic.
You can switch a simulated protocol to real hardware with minimal code changes. Prototypes validated in simulation using the shared backend architecture transfer directly to supported physical devices without rewriting workflow logic.
ovachieverControl laboratory liquid handlers and devices through a unified Python interface.
felixboehmControl laboratory automation hardware through a Python SDK.
jasrajtulsiControls lab automation equipment and deck resources via a unified Python interface.
tassiovaleControl lab equipment like liquid handlers and plate readers via Python.
