Agent skill · Backend & API

pylabrobot

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.

K-Dense-AIgithub.com/K-Dense-AIGitHub ↗
claude-codecan modify filesships scriptsMIT
Install
npx skills add K-Dense-AI/scientific-agent-skills --skill pylabrobot --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 15
SKILL.md size: 10 KB
Bundled scripts: yes
Version: 1.2
Allowed tools: ReadWriteEditBash
Requires: Verified against PyLabRobot 0.2.1 on Python 3.9+. Bundled planning CLIs require only Python 3.11+ and make no serial…
Path: skills/pylabrobot/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 32,619
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 repository `main` describe unreleased work and must not be assumed available in 0.2.1. - Stable liquid-handler backends include `STARBackend`, `VantageBackend`, `EVOBackend`, `OpentronsOT2Backend`, and the offline `LiquidHandlerChatterboxBackend`. - PyLabRobot's GitHub Releases page has no 0.2.x software release entry; use the PyPI history, `v0.2.1` tag, 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

What's inside
Steps it walks through
  1. Verified snapshot
  2. Non-negotiable hardware boundary
  3. Required intake
  4. Reproducible install
  5. Offline-first workflow
  6. Verified software-only example
  7. API rules that prevent stale code
  8. References
  9. Dated upstream sources
Ships with 14 files
  • assets/protocol-manifest.schema.json
  • references/analytical-equipment.md
  • references/hardware-backends.md
  • references/liquid-handling.md
  • references/material-handling.md
  • references/resources.md
  • references/visualization.md
  • scripts/__init__.py
  • scripts/_common.py
  • scripts/check_deck_geometry.py
  • scripts/generate_simulation_plan.py
  • scripts/inspect_backends.py
  • scripts/plan_transfers.py
  • scripts/validate_manifest.py
Commands it runs
uv venv --python 3.11 .venv-pylabrobot
uv pip install --python .venv-pylabrobot/bin/python "PyLabRobot==0.2.1"
python3 skills/pylabrobot/scripts/validate_manifest.py \
python3 skills/pylabrobot/scripts/check_deck_geometry.py \
python3 skills/pylabrobot/scripts/plan_transfers.py \
python3 skills/pylabrobot/scripts/generate_simulation_plan.py \
python3 skills/pylabrobot/scripts/inspect_backends.py \
More from scientific-agent-skills
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About this skill
What does the pylabrobot skill do?

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.

How do I install it?

Run `npx skills add K-Dense-AI/scientific-agent-skills --skill pylabrobot --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.

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