opentrons-integration
Official Opentrons Protocol API for OT-2 and Flex robots.
Skill by lamm-mit
Install
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About
Use cases: backend, writing
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/opentrons-integration
What's inside
- Skill name
opentrons-integration- Description
- Official Opentrons Protocol API for OT-2 and Flex robots. Use when writing protocols specifically for Opentrons hardware with full access to Protocol API v2 features. Best for production Opentrons protocols, official API compatibility. For multi-vendor automation or broader equipment control use pylabrobot.
- License
- Apache-2.0
- Metadata
- skill-author: K-Dense Inc.
- Instructions
- 566 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- body: 566 lines (spec recommends under 500)
Files (8)
- SKILL.md
- api_reference.md · references/
- basic_protocol_template.cpython-313.pyc · scripts/__pycache__/
- pcr_setup_template.cpython-313.pyc · scripts/__pycache__/
- serial_dilution_template.cpython-313.pyc · scripts/__pycache__/
- basic_protocol_template.py · scripts/
- pcr_setup_template.py · scripts/
- serial_dilution_template.py · scripts/
SKILL.md (first lines)
# Opentrons Integration
## Overview
Opentrons is a Python-based lab automation platform for Flex and OT-2 robots. Write Protocol API v2 protocols for liquid handling, control hardware modules (heater-shaker, thermocycler), manage labware, for automated pipetting workflows.
## When to Use This Skill
This skill should be used when:
- Writing Opentrons Protocol API v2 protocols in Python
- Automating liquid handling workflows on Flex or OT-2 robots
- Controlling hardware modules (temperature, magnetic, heater-shaker, thermocycler)
- Setting up labware configurations and deck layouts
- Implementing complex pipetting operations (serial dilutions, plate replication, PCR setup)
- Managing tip usage and optimizing protocol efficiency
- Working with multi-channel pipettes for 96-well plate operations
- Simulating and testing protocols before robot execution
## Core Capabilities
### 1. Protocol Structure and Metadata
Every Opentrons protocol follows a standard structure:
```python
from opentrons import protocol_api
# Metadata
metadata = {
'protocolName': 'My Protocol',
'author': 'Name <email@example.com>',
'description': 'Protocol description',
'apiLevel': '2.19' # Use latest available API version
}
# Requirements (optional)
requirements = {
'robotType': 'Flex', # or 'OT-2'
'apiLevel': '2.19'
}
# Run function
def run(protocol: protocol_api.ProtocolContext):
# Protocol commands go here
pass
```
**Key elements:**
- Import `protocol_api` from `opentrons`
- Define `metadata` dict with protocolName, author, description, apiLevel
- Optional `requirements` dict for robot type and API version
- Implement `run()` function receiving `ProtocolContext` as parameter
- All protocol logic goes inside the `run()` function
### 2. Loading Hardware
**Loading Instruments (Pipettes):**
```python
def run(protocol: protocol_api.ProtocolContext):
# Load pipette on specific mount
left_pipette = protocol.load_instrument(
'p1000_single_flex', # Instrument name
'left', # Mount: 'left' or 'right'
tip_racks=[tip_rack] # List of tip rack labware objects
)
```
Common pipette names:
- Flex: `p50_single_flex`, `p1000_single_flex`, `p50_multi_flex`, `p1000_multi_flex`
- OT-2: `p20_single_gen2`, `p300_single_gen2`, `p1000_single_gen2`, `p20_multi_gen2`, `p300_multi_gen2`
**Loading Labware:**
```python
# Load labware directly on deck
plate = protocol.load_labware(
'corning_96_wellplate_360ul_flat', # Labware API name
'D1', # Deck slot (Flex: A1-D3, OT-2: 1-11)
label='Sample Plate' # Optional display label
)
# Load tip rack
tip_rack = protocol.load_labware('opentrons_flex_96_tiprack_1000ul', 'C1')
# Load labware on adapter
adapter = protocol.load_adapter('opentrons_flex_96_tiprack_adapter', 'B1')
tips = adapter.load_labware('opentrons_flex_96_tiprack_200ul')
```
**Loading Modules:**
```python
# Temperature module
temp_module = protocol.load_module('temperature module gen2', 'D3')
temp_plate = temp_module.load_labware('corning_96_wellplate_360ul_flat')
# Magnetic module
mag_module = protocol.load_module('magnetic module gen2', 'C2')
mag_plate = mag_module.load_labware('nest_96_wellplate_100ul_pcr_full_skirt')
# Heater-Shaker module
hs_module = protocol.load_module('heaterShakerModuleV1', 'D1')
hs_plate = hs_module.load_labware('corning_96_wellplate_360ul_flat')
# Thermocycler module (takes up specific slots automatically)
tc_module = protocol.load_module('thermocyclerModuleV2')
tc_plate = tc_module.load_labware('nest_96_wellplate_100ul_pcr_full_skirt')
```
### 3. Liquid Handling Operations
**Basic Operations:**
```python
# Pick up tip
pipette.pick_up_tip()
# Aspirate (draw liquid in)From lamm-mit/scienceclaw, Apache-2.0.
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Signals
- Stars
- 250
- Forks
- 47
- Open issues
- 1
- Last commit (this folder)
- Mar 14, 2026 (7 months ago)
- Last release
- Jun 23, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/lamm-mit/scienceclaw
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
opentrons-integration skill. Agent Mart. https://agentmart.dev/skills/lamm-mit-opentrons-integration (last updated 2026-10-24)