name: pymeasure description: 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.

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

Open references/INDEX.md (or references/topics.json) and pick the one file that matches.
Read only that file; open another only if the task spans subjects. Grep across files when needed: rg -n "PATTERN" references/*.md.
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