
Opentrons Integration
If you're automating liquid handling on Opentrons Flex or OT-2 robots, this gives you the official Protocol API v2 bindings. You get the full pipetting toolkit: transfers, distributes, consolidates, plus hardware module control for temperature, magnetic separation, heater-shaker, and thermocycler operations. The documentation here covers the standard protocol structure, deck layout, well addressing, and flow rate control. It's the right choice when you're writing production protocols for actual Opentrons hardware. If you need multi-vendor support or want to abstract across different liquid handlers, look at pylabrobot instead, but for pure Opentrons work this is the canonical approach.
- skills.sh installs
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- last updated
- Aug 21, 2026
Install
$ npx -y skills add k-dense-ai/scientific-agent-skills --skill opentrons-integration --agent claude-codeInstalls into .claude/skills of the current project.
Files
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 2026-10-01 is:
opentrons==10.0.0for reproducible Flex simulation.opentrons==9.0.0for local OT-2 API 2.28 compatibility simulation.- Flex supports API levels 2.15 through 2.30 on current software.
- OT-2 supports API levels 2.0 through 2.28 on current software.
- API 2.29 and later are Flex-only at this baseline. Keep OT-2 at 2.28 or lower.
- Bundled Flex templates retain API 2.29 because step grouping is their newest required feature. API 2.30 fixes start-only meniscus aspiration.
- The 10.0.0 library reports a local maximum of 2.31, ahead of the documented robot maximum 2.30. Do not infer robot support from that constant.
Read references/sources.md for the upstream documentation used for this
snapshot. Recheck the official versioning page before targeting newer robot
software.
Safety Boundary
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Details
- Repository
- github.com/k-dense-ai/scientific-agent-skills
- Categories
- Backend & APIs, Git & Pull Requests, Code Review & Quality, AI & Agent Building, Debugging, Automation & Workflows, Python
- First seen
- Jun 3, 2026
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