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AI SKILL pymeasure

Skill LevyBytes/AI-SKILL-pymeasure

Use when working with PyMeasure - the Python library for scientific measurement, instrument control, and experiment automation (built on PyVISA): the Instrument/Channel base classes and dynamic properties, instrument drivers by manufacturer (Keithley, Agilent/Keysight, HP, Lake Shore, SRS, Tektronix, Rohde & Schwarz, ...), Adapters (VISA/serial/Prologix/TCP), the Procedure/Experiment/Worker framework, Results, plotting/display, and the measurement workflow. from pymeasure.instruments import ... Not for the Python stdlib, raw PyVISA, or other instrument-control libraries.From its SKILL.md

Install
npx -y skills add LevyBytes/AI-SKILL-pymeasure

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.1 KB, 341 tokens by cl100k_base, as published. Nobody here has run it

PyMeasure Reference

Original-prose reference for PyMeasure, split into one focused file per subject across 109 reference files. Identifiers (API/type/function names, flags, paths, enums, numbers) are preserved verbatim.

When to use this

Use this skill when the task involves the PyMeasure library - instrument drivers by manufacturer, the Instrument/Channel base classes and dynamic instrument properties, Adapters (VISA/serial/Prologix/TCP), the Procedure/Experiment/Worker automation framework, Results storage, plotting/display, and the end-to-end measurement workflow.

Workflow

  1. Open references/INDEX.md (or references/topics.json) and pick the one file that matches.
  2. Read only that file; open another only if the task spans subjects. Grep across files when needed: rg -n "PATTERN" references/*.md.
  3. Treat every identifier as an exact reference fact - never invent or paraphrase.

Gotchas

Recurring failure modes and what to do instead live in the sibling GOTCHA.md.

References

All depth lives in references/ - start at references/INDEX.md, metadata in references/topics.json. One subject per file.

Source

Adapted from the upstream PyMeasure documentation into original prose for local reference. Identifiers remain verbatim. Upstream: https://pymeasure.readthedocs.io/en/latest/

Verification

python D:\dev\SKILLS\skills\skill-drafting\scripts\validate_skill_package.py D:\dev\SKILLS\skills\pymeasure

What ships with it: 115 files

1756.2 KB alongside SKILL.md

references/

75 more files not listed here. See all 115 in the repository.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.