Control lab equipment like liquid handlers and plate readers via Python.
npx skills add https://github.com/tassiovale/claude-code-kit --skill pylabrobot-tassiovale
Please help me install this Agent Skill. Skill: pylabrobot Source: https://github.com/tassiovale/claude-code-kit/tree/main/skills/pylabrobot Command: npx skills add https://github.com/tassiovale/claude-code-kit --skill pylabrobot-tassiovale
This Skill simplifies the creation and execution of laboratory automation protocols, streamlining workflows and enabling complex operations through a unified Python interface.
To initialize a liquid handler, install the package and run the following:
from pylabrobot.liquid_handling import LiquidHandler
from pylabrobot.liquid_handling.backends import STAR
from pylabrobot.resources import STARLetDeck
lh = LiquidHandler(backend=STAR(), deck=STARLetDeck())
await lh.setup()
High-intent search queries and answers about installing and using this skill.
Automate liquid handling workflows across instruments like Hamilton STAR and Opentrons OT-2 using a unified Python interface. Control plate readers and pumps with a single codebase, enabling complex pipetting and sample preparation programmatically across diverse lab equipment.
Yes, you can test laboratory automation protocols in a simulated environment before hardware execution. This allows you to validate complex liquid handling and plate reading workflows programmatically without requiring physical lab equipment connected.
Lab automation protocols support multi-platform execution on Windows, macOS, Linux, and Raspberry Pi. You can run Python-based instrument control workflows across these operating systems, provided specific hardware backends are installed for actual device control.
The best way to control multiple lab equipment types with Python is using a unified SDK for lab automation. It abstracts instrument control for liquid handlers, plate readers, and pumps into a single programmable interface, streamlining complex operations.
Yes, specific hardware backends are required to control instruments like Tecan EVO for protocol automation. While simulation works without them, executing automation workflows on real liquid handlers and lab equipment requires the corresponding backend setup.
Initialize a liquid handler for protocol automation by importing the LiquidHandler class, specifying a backend like STAR, defining a deck such as STARLetDeck, and calling the setup method to prepare the instrument for executing workflows.
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