thermo-package

Compute temperature-dependent thermodynamic properties and mixture behavior for pump systems.

45|14|Updated Nov 7, 2025
One-click install
npx skills add https://github.com/Soljourner/claude-engineering-skills --skill thermo-package
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: thermo-package
Source: https://github.com/Soljourner/claude-engineering-skills/tree/main/skills/packages/thermo-package
Command: npx skills add https://github.com/Soljourner/claude-engineering-skills --skill thermo-package

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires thermo, chemicals.

What problem does it solve?

The thermo-package provides ready-made access to temperature-dependent thermodynamic properties and mixture behavior, enabling accurate pump design and analysis without bespoke data handling.

Core Features & Use Cases

  • Temperature-dependent properties: density, viscosity, vapor pressure, enthalpy, and heat capacity across temperature ranges.
  • Mixture and EOS support: compute mixture properties and perform equation-of-state based calculations for multi-component systems.
  • Pump-oriented workflows: supports NPSH, enthalpy rise, and phase behavior critical to reliable pumping.

Quick Start

Install with pip install thermo chemicals and run the included examples to start querying properties.

Frequently Asked Questions about thermo-package

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate temperature-dependent thermodynamic properties for pump design?

To calculate temperature-dependent thermodynamic properties for pump design, you can use this package to compute density, viscosity, vapor pressure, and enthalpy across temperature and pressure ranges. It leverages the thermo and chemicals libraries to provide ready-made access to these properties without bespoke data handling.

What thermodynamic properties can I compute for pump systems using Python?

Using Python, you can compute pump-relevant thermodynamic properties including density, viscosity, vapor pressure, enthalpy, and heat capacity. The package supports pure components and blends, enabling equation-of-state based phase behavior calculations and NPSH analysis across varying temperature and pressure ranges.

Can I calculate mixture properties and phase behavior for multi-component systems?

Yes, you can calculate mixture properties and perform equation-of-state based phase behavior calculations for multi-component systems. The package supports both pure components and blends, utilizing the thermo and chemicals libraries to compute phase equilibrium and mixture behavior across specified temperature and pressure ranges.

Do I need the thermo and chemicals libraries to run thermodynamic calculations?

Yes, you need the thermo and chemicals libraries installed to run thermodynamic calculations, as the package depends on them for computing temperature-dependent properties and mixture behavior. You can install both dependencies using pip install thermo chemicals before running the included examples.

How do I perform NPSH and temperature rise analyses for pump systems?

You can perform NPSH and temperature rise analyses by computing pump-relevant thermodynamic properties like vapor pressure, density, and enthalpy across temperature and pressure ranges. The package supports these pump-oriented workflows natively, allowing integration into automated pump-design and analysis pipelines.

What is the best way to get thermodynamic data for automated pump-design workflows?

The best way to get thermodynamic data for automated pump-design workflows is using a Python package that computes temperature-dependent properties and mixture behavior directly. This package provides ready-made access to density, viscosity, and enthalpy calculations, eliminating bespoke data handling and supporting seamless integration into automation pipelines.