Hpc Paraview

Organization

SciMate-AI

hpc-paraview

Build, review, debug, and automate ParaView post-processing and visualization workflows. Use when working with ParaView readers, filters, color maps, screenshots, state files, pvpython or pvbatch scripts, remote pvserver sessions, or cluster-side batch visualization.

Overview

Publisher	SciMate-AI
Repository	`HPC-Skills`
Skill name	`hpc-paraview`
Stars	97
Forks	10
Bundled files	13
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
13 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by SciMate-AI on GitHub. Read the source before you install it.

Installation

Install the Hpc Paraview AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/SciMate-AI/HPC-Skills/tree/main/skills/hpc-paraview
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/SciMate-AI/HPC-Skills.git /tmp/HPC-Skills
mkdir -p .claude/skills
cp -r /tmp/HPC-Skills/skills/hpc-paraview .claude/skills/hpc-paraview

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Hpc Paraview in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Hpc Paraview on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Hpc Paraview is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

HPC ParaView

Treat ParaView as a pipeline-driven post-processing and visualization stack with both GUI and scripted execution paths.

Start

Read references/workflow-manual.md before creating or repairing a ParaView workflow.
Read references/readers-filters-and-pipeline.md when mapping datasets to readers, filters, and pipeline objects.
Read references/color-maps-layout-and-views.md when tuning representations, coloring, views, screenshots, or layout behavior.
Read references/pvpython-pvbatch-and-traces.md when choosing between GUI tracing, pvpython, and pvbatch.
Read references/state-files-animation-and-extracts.md when using .pvsm, Python state, screenshots, or saved data products.
Read references/remote-and-parallel-visualization.md when the workflow needs pvserver, reverse connections, SSH tunnels, or distributed rendering.
Read references/cluster-execution-playbook.md when staging a ParaView workflow for scheduler-backed cluster post-processing.
Read references/error-recovery.md when readers, filters, scripts, state files, or remote connections fail.

Reusable Templates

Use assets/templates/ when a concrete starting scaffold is needed, especially:

pvpython_screenshot.py
pvbatch_slice_extract.py
paraview-pvbatch-slurm.sh
paraview-pvserver-slurm.sh

Guardrails

Do not guess reader or filter semantics from file extensions alone when metadata is available.
Do not use pvbatch and remote Connect() logic in the same script.
Do not save brittle state files with absolute data paths unless that is intentional.
Do not run heavy rendering or batch extraction on login nodes.

Outputs

Summarize:

input datasets and readers
key filters and representations
chosen execution path such as GUI, pvpython, pvbatch, or pvserver
expected screenshots, extracts, animations, or saved data products

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Hpc Paraview AI skill do?

Why use Hpc Paraview on TypingMind?

Because you install it once and use it with any model. Hpc Paraview is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Hpc Paraview in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SciMate-AI/HPC-Skills/tree/main/skills/hpc-paraview. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Hpc Paraview?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Hpc Paraview?

As many as you like. As long as a model supports skills, you can use Hpc Paraview with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Hpc Paraview AI skill free?

Yes. It is published on GitHub by SciMate-AI under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

HPC ParaView

Start

Reusable Templates

Guardrails

Outputs

Bundled files

Frequently asked questions

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