pint-compute
Unit-aware computation with Pint - convert units, dimensional analysis, unit arithmetic
- Installs
- 482
- Last 24h
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- Security
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/parcadei/continuous-claude-v3 --skill pint-compute- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads pint-compute automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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"
convert
Convert a quantity to different units.
uv run python -m runtime.harness scripts/pint_compute.py \
convert "5 meters" --to feet
uv run python -m runtime.harness scripts/pint_compute.py \
convert "100 km/h" --to mph
uv run python -m runtime.harness scripts/pint_compute.py \
convert "1 atmosphere" --to pascal
calc
Perform unit-aware arithmetic. Operators must be space-separated.
uv run python -m runtime.harness scripts/pint_compute.py \
calc "5 m * 3 s"
uv run python -m runtime.harness scripts/pint_compute.py \
calc "10 m / 2 s"
uv run python -m runtime.harness scripts/pint_compute.py \
calc "5 meters + 300 cm"
check
Check if two units have compatible dimensions.
uv run python -m runtime.harness scripts/pint_compute.py \
check newton --against "kg * m / s^2"
uv run python -m runtime.harness scripts/pint_compute.py \
check joule --against "kg * m^2 / s^2"
simplify
Simplify compound units to base or compact form.
uv run python -m runtime.harness scripts/pint_compute.py \
simplify "1 kg*m/s^2"
uv run python -m runtime.harness scripts/pint_compute.py \
simplify "1000 m"
Common Unit Domains
| Domain | Examples |
|---|---|
| Length | meter, foot, inch, mile, km, yard |
| Time | second, minute, hour, day, year |
| Mass | kg, gram, pound, ounce, ton |
| Velocity | m/s, km/h, mph, knot |
| Energy | joule, calorie, eV, kWh, BTU |
| Force | newton, pound_force, dyne |
| Temperature | kelvin, celsius, fahrenheit |
| Pressure | pascal, bar, atmosphere, psi |
| Power | watt, horsepower |
Output Format
All commands return JSON with relevant fields:
{
"result": "16.4042 foot",
"magnitude": 16.4042,
"units": "foot",
"dimensionality": "[length]",
"latex": "16.4042\\,\\mathrm{ft}"
}
Error Handling
Dimensionality errors are caught and reported:
# This will error - incompatible dimensions
uv run python -m runtime.harness scripts/pint_compute.py \
convert "5 meters" --to kg
# Error: Cannot convert '[length]' to '[mass]'
Related Skills
- /math-mode - Full math orchestration (SymPy + Z3)
- /sympy-compute - Symbolic computation
FAQ
What does the pint-compute skill do?
Unit-aware computation with Pint - convert units, dimensional analysis, unit arithmetic
How do I install pint-compute?
Run npx skills add https://github.com/parcadei/continuous-claude-v3 --skill pint-compute in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/pint-compute/ (personal) or .claude/skills/pint-compute/ (project).
Which AI agents can use pint-compute?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is pint-compute safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains pint-compute?
It is published by parcadei in parcadei/continuous-claude-v3. It has 482 recorded installs.
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