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Install with the open skills CLI (global, non-interactive — available in every Claude Code session):
npx skills add FreedomIntelligence/OpenClaw-Medical-Skills --skill "opentrons-protocol-agent" -g -a claude-code -yOr manually — clone and copy the skill directory (SKILL.md + companion files):
git clone --depth 1 https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills /tmp/OpenClaw-Medical-Skills && cp -r /tmp/OpenClaw-Medical-Skills/skills/opentrons-protocol-agent ~/.claude/skills/opentrons-protocol-agentThis skill is a directory: SKILL.md is the entry point; the files below ship with it.
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# COPYRIGHT NOTICE
# This file is part of the "Universal Biomedical Skills" project.
# Copyright (c) 2026 MD BABU MIA, PhD <md.babu.mia@mssm.edu>
# All Rights Reserved.
#
# This code is proprietary and confidential.
# Unauthorized copying of this file, via any medium is strictly prohibited.
#
# Provenance: Authenticated by MD BABU MIA
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---
name: 'opentrons-protocol-agent'
description: 'Generates executable Python protocols for Opentrons OT-2 and Flex robots from natural language descriptions.'
measurable_outcome: Execute skill workflow successfully with valid output within 15 minutes.
allowed-tools:
- read_file
- run_shell_command
---
# Opentrons Protocol Agent
The **Opentrons Protocol Agent** bridges the gap between experimental design and physical execution by translating instructions into Opentrons Python API scripts.
## When to Use This Skill
* When you need to automate a liquid handling task (PCR prep, ELISA, serial dilution).
* When you have a text description of a lab protocol and need code for the robot.
* To validate if a requested protocol is feasible with available labware.
## Core Capabilities
1. **Protocol Generation**: Creates valid `.py` files for OT-2/Flex.
2. **Labware Validation**: Checks compatibility of plates and tipracks.
3. **Volume Calculation**: Automates liquid transfer math (e.g., dilution factors).
## Workflow
1. **Describe**: Provide the experiment details (source, destination, volumes).
2. **Generate**: The agent uses the `opentrons_protocol_template.py` or internal logic to draft the script.
3. **Review**: The user (or a simulator agent) reviews the code for safety.
## Example Usage
**User**: "Create a protocol for 1:2 serial dilution in a 96-well plate."
**Agent Action**:
(Uses an LLM to fill in the template or generate code)
```bash
# Agent writes the file to disk
python3 -m opentrons.simulate generated_protocol.py
```
<!-- AUTHOR_SIGNATURE: 9a7f3c2e-MD-BABU-MIA-2026-MSSM-SECURE -->Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Use when executing implementation plans with independent tasks in the current session