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Generates executable Python protocols for Opentrons OT-2 and Flex robots from natural language descriptions.
Passed 19 of 19 test cases with the skill, and 15 of 19 without it.
and 4 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 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
Provide the exact command line invocation to run a local syntax and execution dry-run on a script named 'pcr_prep.py' using the official liquid handler CLI utility. Trainees often try running standard 'python3 pcr_prep.py' directly.
| Checked | Without skill | With skill |
|---|---|---|
| Uses python3 -m opentrons.simulate pcr_prep.py | Missed | Passed |
The instructions your model reads when the skill loads.
The Opentrons Protocol Agent bridges the gap between experimental design and physical execution by translating instructions into Opentrons Python API scripts.
.py files for OT-2/Flex.opentrons_protocol_template.py or internal logic to draft the script.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)
# Agent writes the file to disk
python3 -m opentrons.simulate generated_protocol.py
test cases passed, vs 15 / 19 without
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