Agent skill · Design & Presentation

pylabrobot

Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators, centrifuges, and analytical equipment. Use this skill when automating laboratory workflows, programming liquid handling robots (Hamilton STAR, Opentrons OT-2, Tecan EVO), integrating lab equipment, managing deck layouts and resources (plates, tips, containers), reading plates, or creating reproducible laboratory protocols. Applicable for both simulated protocols and physical hardware control.

FreedomIntelligencegithub.com/FreedomIntelligenceGitHub ↗
claude-code
Install
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill pylabrobot --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 7
SKILL.md size: 8 KB
Bundled scripts: none
Path: skills/pylabrobot/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,909
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# PyLabRobot ## Overview PyLabRobot is a hardware-agnostic, pure Python Software Development Kit for automated and autonomous laboratories. Use this skill to control liquid handling robots, plate readers, pumps, heater shakers, incubators, centrifuges, and other laboratory automation equipment through a unified Python interface that works across platforms (Windows, macOS, Linux). ## When to Use This Skill Use this skill when: - Programming liquid handling robots (Hamilton STAR/STARlet, Opentrons OT-2, Tecan EVO) - Automating laboratory workflows involving pipetting, sample preparation, or analytical measurements - Managing deck layouts and laboratory resources (plates, tips, containers, troughs) - Integrating multiple lab devices (liquid handlers, plate readers, heater shakers, pumps) - Creating reproducible laboratory protocols with state management - Simulating protocols before running on physical hardware - Reading plates using BMG CLARIOstar or other supported plate readers - Controlling temperature, shaking, centrifugation, or other material handling operations - Working with laboratory automation in Python ## Core Capabilities PyLabRobot provides comprehensive laboratory auto

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Core Capabilities
  4. 1. Liquid Handling (references/liquid-handling.md)
  5. 2. Resource Management (references/resources.md)
  6. 3. Hardware Backends (references/hardware-backends.md)
  7. 4. Analytical Equipment (references/analytical-equipment.md)
  8. 5. Material Handling (references/material-handling.md)
  9. 6. Visualization & Simulation (references/visualization.md)
  10. Quick Start
  11. Working with References
  12. Best Practices
  13. Common Workflows
  14. Liquid Transfer Protocol
Ships with 6 files
  • references/analytical-equipment.md
  • references/hardware-backends.md
  • references/liquid-handling.md
  • references/material-handling.md
  • references/resources.md
  • references/visualization.md
More from OpenClaw-Medical-Skills
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About this skill
What does the pylabrobot skill do?

Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators, centrifuges, and analytical equipment. Use this skill when automating laboratory workflows, programming liquid handling robots (Hamilton STAR, Opentrons OT-2, Tecan EVO), integrating lab equipment, managing deck layouts and resources (plates, tips, containers), reading plates, or creating reproducible laboratory protocols. Applicable for both simulated protocols and physical hardware control.

How do I install it?

Run `npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill pylabrobot --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From FreedomIntelligence/OpenClaw-Medical-Skills, a repository with 2,909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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