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Opentrons Protocol API v2 for OT-2/Flex: Python protocols for pipetting, serial dilutions, PCR, plate replication; control thermocycler, heater-shaker, magnetic, temperature modules. Use pylabrobot for multi-vendor.
Passed 22 of 22 test cases with the skill, and 17 of 22 without it.
and 2 more in the full report
5 fixed17 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write an Opentrons protocol snippet for an Opentrons Flex system that loads a single-channel 50 µL pipette on the right mount and a 1000 µL multi-channel pipette on the left mount.
| Checked | Without skill | With skill |
|---|---|---|
| p50_single_flex | Passed | Passed |
| p1000_multi_flex | Missed | Passed |
The instructions your model reads when the skill loads.
Opentrons provides a Python-based Protocol API (v2) for programming OT-2 and Flex liquid handling robots. Protocols are structured Python files with metadata and a run() function that controls pipettes, labware, and hardware modules. All protocols can be simulated locally before running on physical hardware.
pip install opentrons
# Simulate protocols locally (no robot needed)
opentrons_simulate my_protocol.py
Protocol API Version: Always use the latest stable API level (currently 2.19). Set apiLevel in protocol metadata. Protocols are forward-compatible within major versions.
Robot Types: Flex (newer, larger deck, 96-channel pipette) vs OT-2 (smaller, 8-channel max). Key differences: deck slot naming (Flex: A1-D3, OT-2: 1-11), available pipettes, and module support.
from opentrons import protocol_api
metadata = {"protocolName": "Quick Transfer", "apiLevel": "2.19"}
def run(protocol: protocol_api.ProtocolContext):
tips = protocol.load_labware("opentrons_96_tiprack_300ul", "1")
source = protocol.load_labware("nest_12_reservoir_15ml", "2")
test cases passed, vs 17 / 22 without
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