pylabrobot
Provides a unified interface to control and program various laboratory automation equipment.
Install
mkdir -p .claude/skills/pylabrobot && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/3275" && unzip -o skill.zip -d .claude/skills/pylabrobot && rm skill.zipInstalls to .claude/skills/pylabrobot
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Vendor-agnostic lab automation framework. Use when controlling multiple equipment types (Hamilton, Tecan, Opentrons, plate readers, pumps) or needing unified programming across different vendors. Best for complex workflows, multi-vendor setups, simulation. For Opentrons-only protocols with official API, opentrons-integration may be simpler.Key capabilities
- →Control liquid handling robots
- →Manage deck layouts and resources
- →Integrate analytical equipment
- →Simulate laboratory protocols
How it works
It provides a hardware-agnostic Python interface that abstracts equipment backends to allow unified programming across different vendors.
Inputs & outputs
When to use pylabrobot
- →Automating liquid handling workflows
- →Syncing operations between different lab hardware brands
- →Programing plate reader experiments
About this skill
PyLabRobot
Use PyLabRobot's hardware-agnostic frontends, resource tree, trackers, and device-specific backends to develop laboratory automation. Default to local manifest validation, bookkeeping, and the software-only chatterbox backend.
Verified snapshot
- PyPI stable:
PyLabRobot==0.2.1, released 2026-03-23. - Upstream requirement: Python >=3.9. This skill uses Python 3.11 for its reproducible smoke tests.
/stable/documentation identifies itself as 0.2.1./dev/and repositorymaindescribe unreleased work and must not be assumed available in 0.2.1.- Stable liquid-handler backends include
STARBackend,VantageBackend,EVOBackend,OpentronsOT2Backend, and the offlineLiquidHandlerChatterboxBackend. - PyLabRobot's GitHub Releases page has no 0.2.x software release entry; use
the PyPI history,
v0.2.1tag, and changelog as release evidence.
Non-negotiable hardware boundary
Never connect to, initialize, home, move, heat, shake, spin, pump, open/close, or otherwise command physical equipment automatically. Do not turn a simulation plan into a live backend merely by changing an environment variable, config value, or import.
Before any separately authorized live run, require a trained human to:
- Explicitly confirm the exact backend, device identity, firmware, transport, deck, and protocol revision.
- Reconcile the physical deck against the resource tree, including carriers, adapters, lids, plates, tip racks, waste, labware orientation, barcodes, and every occupied coordinate.
- Verify calibration, teaching, motion envelopes, collision risks, gripper or channel clearances, and all aspiration/dispense coordinates.
- Review source identity and actual fill volume, dead volume, destination capacity, tip type/capacity/filter compatibility, channel mapping, units, heights, rates, liquid class, blowout/mixing, and contamination boundaries.
- Confirm guards, doors, waste capacity, containment, emergency stop readiness, PPE, biosafety/chemical controls, and a safe abort/recovery procedure.
- Approve a slow dry run or nonhazardous commissioning run when anything is new or changed.
Tracker state is bookkeeping, not sensing. It cannot prove that liquid or a tip is physically present. The Visualizer renders resource/tracker events; it does not model physics. Chatterbox prints planned operations; it does not prove calibration, reachability, collision freedom, liquid behavior, or device state.
Required intake
Do not guess any of these:
- Exact device model, installed options, firmware, computer/OS, and transport.
- Stable PyLabRobot version and required extras.
- Deck/deck origin, carriers, adapters, resource definitions, dimensions, coordinates, orientations, and motion clearances.
- Plate/tube/reservoir capacities and dead volumes; initial physical volumes.
- Tip model, filter, fitting, capacity, rack state, channel count, and channel mapping.
- Transfer units (
uL,mm,uL/s,s), heights, rates, mixing, air gaps, blowout, liquid properties, and validated vendor liquid class. - Contamination policy, controls, waste handling, operator interventions, acceptance criteria, and recovery procedure.
If information is missing, produce an assumptions/blockers list and an offline draft only.
Reproducible install
For offline API inspection and chatterbox simulation:
uv venv --python 3.11 .venv-pylabrobot
uv pip install --python .venv-pylabrobot/bin/python "PyLabRobot==0.2.1"
On Windows, use .venv-pylabrobot\Scripts\python.exe. Do not install hardware
extras until the user names the device and explicitly approves its transport
dependencies. Then inspect the matching stable device page before considering a
pin such as "PyLabRobot[serial]==0.2.1" or "PyLabRobot[usb]==0.2.1".
Offline-first workflow
Run from the repository root. Every bundled CLI uses strict, bounded UTF-8 JSON/CSV, local non-symlink paths, fixed allowlists, and JSON output. None can select a live backend.
python3 skills/pylabrobot/scripts/validate_manifest.py \
--input tests/pylabrobot/fixtures/protocol_manifest.json
python3 skills/pylabrobot/scripts/check_deck_geometry.py \
--input tests/pylabrobot/fixtures/protocol_manifest.json
python3 skills/pylabrobot/scripts/plan_transfers.py \
--manifest tests/pylabrobot/fixtures/protocol_manifest.json \
--transfers tests/pylabrobot/fixtures/transfers.csv
python3 skills/pylabrobot/scripts/generate_simulation_plan.py \
--manifest tests/pylabrobot/fixtures/protocol_manifest.json \
--transfers tests/pylabrobot/fixtures/transfers.csv
python3 skills/pylabrobot/scripts/inspect_backends.py \
--expected-version 0.2.1 --strict
The geometry checker uses conservative static axis-aligned boxes; it is not a
motion planner. The transfer planner requires one new tip per row and checks
source/dead/destination volumes, tip capacity, wells, channels, heights, rates,
units, and allowlists. Review
assets/protocol-manifest.schema.json and the synthetic fixtures before making
a project-specific manifest.
Verified software-only example
The exact backend below is software-only. Do not substitute a hardware backend.
from pylabrobot.liquid_handling import LiquidHandler
from pylabrobot.liquid_handling.backends import LiquidHandlerChatterboxBackend
from pylabrobot.resources import (
Cor_96_wellplate_360ul_Fb,
PLT_CAR_L5AC_A00,
TIP_CAR_480_A00,
hamilton_96_tiprack_1000uL_filter,
set_tip_tracking,
set_volume_tracking,
)
from pylabrobot.resources.hamilton import STARLetDeck
set_tip_tracking(True)
set_volume_tracking(True)
deck = STARLetDeck()
tip_carrier = TIP_CAR_480_A00(name="tip_carrier")
tips = hamilton_96_tiprack_1000uL_filter(name="tips")
tip_carrier[0] = tips
plate_carrier = PLT_CAR_L5AC_A00(name="plate_carrier")
source = Cor_96_wellplate_360ul_Fb(name="source")
destination = Cor_96_wellplate_360ul_Fb(name="destination")
plate_carrier[0] = source
plate_carrier[1] = destination
deck.assign_child_resource(tip_carrier, rails=3)
deck.assign_child_resource(plate_carrier, rails=15)
source.get_well("A1").tracker.set_volume(100.0) # planned state, not sensing
lh = LiquidHandler(backend=LiquidHandlerChatterboxBackend(), deck=deck)
await lh.setup() # safe here only because the backend above is software-only
try:
await lh.pick_up_tips(tips["A1"])
await lh.aspirate(source["A1"], vols=[10.0])
await lh.dispense(destination["A1"], vols=[10.0])
await lh.return_tips()
finally:
await lh.stop()
API rules that prevent stale code
- Current names are
STARBackend,VantageBackend,EVOBackend, andOpentronsOT2Backend; do not use staleSTAR,TecanBackend,OpentronsBackend, orChatterboxBackendimports. - Use
LiquidHandlerChatterboxBackendfor generic offline liquid-handler testing.ChatterBoxBackendis a separate legacy-named export; do not conflate the two. Visualizer(resource=...)is valid, followed byawait vis.setup()andawait vis.stop(); it starts localhost HTTP/WebSocket servers and may open a browser.- There is no generic
from pylabrobot.liquid_handling import LiquidClassin 0.2.1. Stable liquid classes are vendor-specific, for examplepylabrobot.liquid_handling.liquid_classes.hamilton.HamiltonLiquidClass. - Most frontend methods are async. Backend kwargs and capabilities are vendor/model specific; a shared frontend does not imply identical behavior.
References
- Liquid handling — operations, tips, tracking, liquid classes, units, and validation.
- Resources — decks, coordinates, plates, tip racks, collisions, state, and serialization.
- Hardware backends — verified names, support levels, capabilities, and live-run gate.
- Analytical equipment — plate readers and scales.
- Material handling — pumps, heaters, shakers, temperature control, storage, and centrifuges.
- Visualization — chatterbox, Visualizer, localhost services, and simulation limits.
Dated upstream sources
Checked 2026-07-23:
- PyPI 0.2.1 — released 2026-03-23; Python >=3.9; extras and artifacts.
- Stable installation guide — stable versus source/dev install and optional transport groups.
- Stable API and supported machines — 0.2.1 API and model-specific support labels.
v0.2.1source tag and changelog — tag dated 2026-03-23;Unreleasedis development-only.
When not to use it
- →Opentrons-only protocols with official API
- →Simple tasks not requiring hardware abstraction
Prerequisites
Limitations
- →Requires hardware backend drivers
- →Complex workflows require state management
How it compares
It offers a unified, vendor-agnostic framework for complex lab automation instead of vendor-specific software.
Compared to similar skills
pylabrobot side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| pylabrobot (this skill) | 2 | 2mo | No flags | Advanced |
| telegram-bot-builder | 106 | 6mo | Review | Intermediate |
| codex-cli-bridge | 9 | 9mo | Review | Intermediate |
| code-to-music | 17 | 10mo | Review | Advanced |
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