Pint Compute

This wraps the Pint library for unit-aware calculations directly in Claude. You get unit conversion (meters to feet, km/h to mph), dimensional analysis to check if units are compatible (is force really mass times acceleration?), and arithmetic that respects units (velocity times time gives distance, not gibberish). It returns structured JSON with magnitudes, dimensions, and even LaTeX representations. The command palette is straightforward: parse, convert, calc, check, and simplify. Honestly most useful when you're doing back-of-envelope physics or engineering calculations and don't want to mentally track whether you're mixing imperial and metric, or when you need to verify that a formula's dimensions actually make sense before plugging in numbers.

skills.sh installs: 484
GitHub stars: 3.9K
last updated: Aug 21, 2026

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Install

$ npx -y skills add parcadei/continuous-claude-v3 --skill pint-compute --agent claude-code

Installs into .claude/skills of the current project.

Files

Unit Computation with Pint

Cognitive prosthetics for unit-aware computation. Use Pint for converting between units, performing unit arithmetic, checking dimensional compatibility, and simplifying compound units.

When to Use

Converting between units (meters to feet, kg to pounds)
Unit-aware arithmetic (velocity x time = distance)
Dimensional analysis (is force = mass x acceleration?)
Simplifying compound units to base or named units
Parsing and analyzing quantities with units

Quick Reference

I want to...	Command	Example
Convert units	`convert`	`convert "5 meters" --to feet`
Unit math	`calc`	`calc "10 m/s * 5 s"`
Check dimensions	`check`	`check newton --against "kg * m / s^2"`
Parse quantity	`parse`	`parse "100 km/h"`
Simplify units	`simplify`	`simplify "1 kg*m/s^2"`

Commands

parse

Parse a quantity string into magnitude, units, and dimensionality.

uv run python -m runtime.harness scripts/pint_compute.py \
    parse "100 km/h"

uv run python -m runtime.harness scripts/pint_compute.py \
    parse "9.8 m/s^2"

SKILL.md on GitHub