Develop and review PyLabRobot lab-automation resources, liquid-handling plans, offline simulations, and supported-device integrations. Use for PyLabRobot protocols or API questions; keep physical execution behind an explicit operator safety gate.
npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --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.
PyLabRobot==0.2.1, released 2026-03-23.reproducible smoke tests.
/stable/ documentation identifies itself as 0.2.1. /dev/ and repositorymain describe unreleased work and must not be assumed available in 0.2.1.
STARBackend, VantageBackend,EVOBackend, OpentronsOT2Backend, and the offline
LiquidHandlerChatterboxBackend.
the PyPI history, v0.2.1 tag, and changelog as release evidence.
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:
deck, and protocol revision.
adapters, lids, plates, tip racks, waste, labware orientation, barcodes, and
every occupied coordinate.
channel clearances, and all aspiration/dispense coordinates.
capacity, tip type/capacity/filter compatibility, channel mapping, units,
heights, rates, liquid class, blowout/mixing, and contamination boundaries.
PPE, biosafety/chemical controls, and a safe abort/recovery procedure.
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.
Do not guess any of these:
coordinates, orientations, and motion clearances.
mapping.
uL, mm, uL/s, s), heights, rates, mixing, air gaps,blowout, liquid properties, and validated vendor liquid class.
acceptance criteria, and recovery procedure.
If information is missing, produce an assumptions/blockers list and an offline
draft only.
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".
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.
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()
STARBackend, VantageBackend, EVOBackend, andOpentronsOT2Backend; do not use stale STAR, TecanBackend,
OpentronsBackend, or ChatterboxBackend imports.
LiquidHandlerChatterboxBackend for generic offline liquid-handlertesting. ChatterBoxBackend is a separate legacy-named export; do not
conflate the two.
Visualizer(resource=...) is valid, followed by await vis.setup() andawait vis.stop(); it starts localhost HTTP/WebSocket servers and may open a
browser.
from pylabrobot.liquid_handling import LiquidClass in0.2.1. Stable liquid classes are vendor-specific, for example
pylabrobot.liquid_handling.liquid_classes.hamilton.HamiltonLiquidClass.
vendor/model specific; a shared frontend does not imply identical behavior.
liquid classes, units, and validation.
collisions, state, and serialization.
support levels, capabilities, and live-run gate.
and scales.
shakers, temperature control, storage, and centrifuges.
localhost services, and simulation limits.
Checked 2026-07-23:
Python >=3.9; extras and artifacts.
— stable versus source/dev install and optional transport groups.
— 0.2.1 API and model-specific support labels.
and changelog
— tag dated 2026-03-23; Unreleased is development-only.
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Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
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Next.js best practices - file conventions, RSC boundaries, data patterns, async APIs, metadata, error handling, route handlers, image/font optimization, bundling
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Take k-dense-ai/pylabrobot from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip, uv.
Without those the skill loads but fails at the first command.