How do I install the Ngspice Matplotlib Plot skill?

Run npx skillmds@latest add tobi1chi/ngspice-matplotlib-plot in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Ngspice Matplotlib Plot safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Ngspice Matplotlib Plot?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Ngspice Matplotlib Plot free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Ngspice Matplotlib Plot?

tobi1chi (@tobi1chi) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Ngspice Matplotlib Plot by tobi1chi

Name: Ngspice Matplotlib Plot
Author: tobi1chi

Ngspice Matplotlib Plot

Use when the task is to run an ngspice .cir netlist from the command line and generate waveform plots with matplotlib. Trigger on requests to simulate SPICE files, run ngspice automatically, plot wrdata output, or turn .cir files into waveform images.

tobi1chi fe23939 2 files · 7.2 KB Updated Sep 17, 2026

File contents

ngspice Matplotlib Plot

Use this skill when a task needs to run ngspice on a .cir file and turn the generated wrdata output into a plot.

Environment Requirements

A Python environment with matplotlib installed.
ngspice installed and callable as ngspice.
The bundled script writes matplotlib config and cache data into the current working directory if needed.
Prefer a project-local .venv when one exists.
If no project-local environment exists, use a Python interpreter explicitly instead of assuming python resolves correctly.

Before invoking Python plotting, it is safe to set:

MPLCONFIGDIR="$(pwd)/.mplconfig"
XDG_CACHE_HOME="$(pwd)/.cache"

Default Workflow

Confirm the .cir file contains a wrdata ... line.
Choose a Python interpreter:
- Prefer ./.venv/bin/python if the repo already has one.
- Otherwise use an explicitly chosen interpreter such as python3.
Run the bundled script with that interpreter.
By default, let the script delete the generated .dat file after plotting.
Use --keep-data only when the user wants to inspect or reuse the raw exported data.

Command Pattern

MPLCONFIGDIR="$(pwd)/.mplconfig" \
XDG_CACHE_HOME="$(pwd)/.cache" \
python3 \
~/.codex/skills/ngspice-matplotlib-plot/scripts/run_ngspice_and_plot.py \
<path-to-netlist.cir> [--output output.png] [--title "Plot Title"] [--keep-data]

Notes

The script expects wrdata output in the netlist. It parses the file name and expressions from that command.
The generated image defaults to <netlist_stem>_plot.png in the same directory as the netlist.
The bundled script uses the non-interactive Agg matplotlib backend, so it works in headless terminal sessions.
If a collaborator stores skills somewhere other than ~/.codex/skills/, adjust the script path accordingly.

---name: ngspice-matplotlib-plotdescription: Use when the task is to run an ngspice .cir netlist from the command line and generate waveform plots with matplotlib. Trigger on requests to simulate SPICE files, run ngspice automatically, plot wrdata output, or turn .cir files into waveform images.---# ngspice Matplotlib PlotUse this skill when a task needs to run `ngspice` on a `.cir` file and turn the generated `wrdata` output into a plot.## Environment Requirements- A Python environment with `matplotlib` installed.- `ngspice` installed and callable as `ngspice`.- The bundled script writes matplotlib config and cache data into the current working directory if needed.- Prefer a project-local `.venv` when one exists.- If no project-local environment exists, use a Python interpreter explicitly instead of assuming `python` resolves correctly.- Before invoking Python plotting, it is safe to set: ```bash MPLCONFIGDIR="$(pwd)/.mplconfig" XDG_CACHE_HOME="$(pwd)/.cache" ```## Default Workflow1. Confirm the `.cir` file contains a `wrdata ...` line.2. Choose a Python interpreter: - Prefer `./.venv/bin/python` if the repo already has one. - Otherwise use an explicitly chosen interpreter such as `python3`.3. Run the bundled script with that interpreter.4. By default, let the script delete the generated `.dat` file after plotting.5. Use `--keep-data` only when the user wants to inspect or reuse the raw exported data.## Command Pattern```bashMPLCONFIGDIR="$(pwd)/.mplconfig" \XDG_CACHE_HOME="$(pwd)/.cache" \python3 \~/.codex/skills/ngspice-matplotlib-plot/scripts/run_ngspice_and_plot.py \<path-to-netlist.cir> [--output output.png] [--title "Plot Title"] [--keep-data]```## Notes- The script expects `wrdata` output in the netlist. It parses the file name and expressions from that command.- The generated image defaults to `<netlist_stem>_plot.png` in the same directory as the netlist.- The bundled script uses the non-interactive `Agg` matplotlib backend, so it works in headless terminal sessions.- If a collaborator stores skills somewhere other than `~/.codex/skills/`, adjust the script path accordingly.

Frequently asked questions