labview-instrument-controller
LabVIEW instrument control skill for DAQ systems, hardware integration, and real-time data acquisition
Best use case
labview-instrument-controller is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
LabVIEW instrument control skill for DAQ systems, hardware integration, and real-time data acquisition
Teams using labview-instrument-controller should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/labview-instrument-controller/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How labview-instrument-controller Compares
| Feature / Agent | labview-instrument-controller | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
LabVIEW instrument control skill for DAQ systems, hardware integration, and real-time data acquisition
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# LabVIEW Instrument Controller ## Purpose Provides expert guidance on LabVIEW for laboratory instrument control, including DAQ systems and hardware integration. ## Capabilities - VISA instrument communication - NI-DAQmx integration - Real-time data streaming - Hardware timing control - Custom VI development - LabVIEW-Python bridge ## Usage Guidelines 1. **Instrument Communication**: Set up VISA communication 2. **DAQ Configuration**: Configure NI-DAQmx channels 3. **Real-Time**: Implement real-time data acquisition 4. **Timing**: Use hardware timing for synchronization 5. **Integration**: Bridge with Python for analysis ## Tools/Libraries - LabVIEW - NI-VISA - PyVISA
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