opentrons-integration
Author, review, migrate, simulate, and troubleshoot official Opentrons Python Protocol API v2 protocols for Flex and OT-2 robots. Use for robot-specific liquid handling, deck and labware setup, pipettes, modules, runtime parameters, liquid classes, and Opentrons App analysis. Use pylabrobot instead when one workflow must support multiple robot vendors.
npx skills add K-Dense-AI/scientific-agent-skills --skill opentrons-integration --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Opentrons Integration ## Overview Create production-minded Python Protocol API v2 protocols for Opentrons Flex and OT-2. This skill covers protocol structure, hardware and deck configuration, liquid handling, runtime customization, module control, simulation, and safe deployment. The verified baseline as of **2026-07-23** is: - `opentrons==9.1.1` for reproducible Flex simulation. - `opentrons==9.0.0` for local OT-2 API 2.28 compatibility simulation. - Flex supports API levels 2.15 through 2.29 on current software. - OT-2 supports API levels 2.0 through 2.28 on current software. - API 2.29 is Flex-only at this baseline. Do not put `2.29` in an OT-2 protocol. Read `references/sources.md` for the upstream documentation used for this snapshot. Recheck the official versioning page before targeting newer robot software. ## Safety Boundary Opentrons protocols control physical equipment. Never treat successful Python syntax or local simulation as permission to run on a robot. Before live execution: 1. Simulate locally with the same pinned `opentrons` version used for authoring. 2. Import the protocol into the correct Opentrons App and require successful analysis. 3. Verify robot model, s
- Overview
- Safety Boundary
- Choose the Right Interface
- Required Intake
- Install and Simulate
- Protocol Skeletons
- Flex, API 2.29
- OT-2, API 2.28
- Authoring Workflow
- 1. Select robot and API level
- 2. Build the deck explicitly
- 3. Select pipettes and tips
- 4. Choose a liquid-handling layer
- 5. Add setup information and runtime controls
uv run --with "opentrons==9.1.1" opentrons_simulate protocol.py uv run --with "opentrons==9.0.0" opentrons_simulate protocol.py uv venv --python 3.10 uv pip install --python .venv/bin/python -r skills/opentrons-integration/requirements-flex.txt
What does the opentrons-integration skill do?
Author, review, migrate, simulate, and troubleshoot official Opentrons Python Protocol API v2 protocols for Flex and OT-2 robots. Use for robot-specific liquid handling, deck and labware setup, pipettes, modules, runtime parameters, liquid classes, and Opentrons App analysis. Use pylabrobot instead when one workflow must support multiple robot vendors.
How do I install it?
Run `npx skills add K-Dense-AI/scientific-agent-skills --skill opentrons-integration --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 K-Dense-AI/scientific-agent-skills, a repository with 32,619 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.