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Agent skill

Pint Compute

by parcadei in parcadei/Continuous-Claude-v3

Unit-aware computation with Pint - convert units, dimensional analysis, unit arithmetic

MITAuto-check: notes

Install Pint Compute

skills CLI
$ npx skills add parcadei/Continuous-Claude-v3 --skill pint-compute -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install parcadei/Continuous-Claude-v3 pint-compute --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/parcadei/Continuous-Claude-v3.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/pint-compute .claude/skills/pint-compute && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
pint-compute
GitHub stars
3.9k
Used in
1 other repo
Token cost
~884 tokens
SKILL.md length
230 words
Files
1
Skills in repo
141
Repo updated
First seen
Licence
MIT

At a glance

Unit-aware computation with Pint - convert units, dimensional analysis, unit arithmetic

  • SKILL.md covers When to Use, Quick Reference, Commands and Common Unit Domains, plus 3 more sections
  • Calls uv

What it does

Pint Compute is an agent skill from parcadei/Continuous-Claude-v3. Unit-aware computation with Pint - convert units, dimensional analysis, unit arithmetic

Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Context management for Claude Code. Hooks maintain state via ledgers and handoffs. MCP execution without context pollution. Agent orchestration with isolated context windows. The licence is MIT.

Example prompts

  • “/pint-compute”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Bash, Read

What it can do on your machine

Read from SKILL.md and the folder at commit d07ff4b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Pint Compute loads about 884 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 230 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~25
When it runs · the whole SKILL.md, loaded when a task matches
~884

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from parcadei/Continuous-Claude-v3 at commit d07ff4b, republished under its MIT licence (© parcadei). 230 words, ~884 tokens.

Download SKILL.mdSave it as .claude/skills/pint-compute/SKILL.md (or your agent's skills folder).
name
pint-compute
description
Unit-aware computation with Pint - convert units, dimensional analysis, unit arithmetic
allowed-tools
Bash, Read

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...CommandExample
Convert unitsconvertconvert "5 meters" --to feet
Unit mathcalccalc "10 m/s * 5 s"
Check dimensionscheckcheck newton --against "kg * m / s^2"
Parse quantityparseparse "100 km/h"
Simplify unitssimplifysimplify "1 kg*m/s^2"

Commands

parse

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

bash
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.

bash
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.

bash
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.

bash
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.

bash
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

DomainExamples
Lengthmeter, foot, inch, mile, km, yard
Timesecond, minute, hour, day, year
Masskg, gram, pound, ounce, ton
Velocitym/s, km/h, mph, knot
Energyjoule, calorie, eV, kWh, BTU
Forcenewton, pound_force, dyne
Temperaturekelvin, celsius, fahrenheit
Pressurepascal, bar, atmosphere, psi
Powerwatt, horsepower

Output Format

All commands return JSON with relevant fields:

json
{
  "result": "16.4042 foot",
  "magnitude": 16.4042,
  "units": "foot",
  "dimensionality": "[length]",
  "latex": "16.4042\\,\\mathrm{ft}"
}

Error Handling

Dimensionality errors are caught and reported:

bash
# 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]'
  • /math-mode - Full math orchestration (SymPy + Z3)
  • /sympy-compute - Symbolic computation

© parcadei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/pint-compute of parcadei/Continuous-Claude-v3.

Open the folder on GitHubat commit d07ff4b

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in parcadei/Continuous-Claude-v3, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Pint Compute next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Pint Compute compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pint Compute this skillparcadei/Continuous-Claude-v33.9k1 repos~884Automated safety check: NotesMIT
Convertremotion-dev/remotion63k—~247Automated safety check: PassCustom licence
Medical Unit Converteraipoch/medical-research-skills2k—~1.4kAutomated safety check: PassMIT
Unit Teststhedaviddias/Front-End-Checklist74k—~382Automated safety check: PassMIT
Ito Computeaffaan-m/ECC276k1 repos~1.7kAutomated safety check: PassMIT
Warp Rust Unit Testswarpdotdev/warp65k1 repos~3.4kAutomated safety check: PassAGPL-3.0

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Questions about Pint Compute

What does Pint Compute do?

Unit-aware computation with Pint - convert units, dimensional analysis, unit arithmetic. Pint Compute is an agent skill from parcadei/Continuous-Claude-v3.

How do I install Pint Compute in Claude Code?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill pint-compute -a claude-code`. Or copy the skill folder (.claude/skills/pint-compute in parcadei/Continuous-Claude-v3) into .claude/skills/pint-compute in your project. Claude Code loads it when a task matches its description.

How do I install Pint Compute in Codex?

Run `npx skills add parcadei/Continuous-Claude-v3 --skill pint-compute -a codex`. Or copy the skill folder (.claude/skills/pint-compute in parcadei/Continuous-Claude-v3) into .agents/skills/pint-compute in your project. Codex loads it when a task matches its description.

Can I use Pint Compute in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add parcadei/Continuous-Claude-v3 --skill pint-compute -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pint-compute, .gemini/skills/pint-compute, .github/skills/pint-compute and .opencode/skills/pint-compute in your project.

What does Pint Compute need to run?

Going by SKILL.md and its folder, Pint Compute needs the command-line tools its instructions call (uv). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash, Read.

Does Pint Compute access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Pint Compute safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Pint Compute use?

Pint Compute is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Pint Compute use?

About 884 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Pint Compute?

Skills that share tags, products or a category with Pint Compute: Convert (remotion-dev/remotion, 63k stars), Medical Unit Converter (aipoch/medical-research-skills, 2k stars), Unit Tests (thedaviddias/Front-End-Checklist, 74k stars) and Ito Compute (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pint Compute?

parcadei (a GitHub user) maintains it in parcadei/Continuous-Claude-v3, which has 3,943 GitHub stars. The repository holds 141 skills in this directory. The repository was last updated on January 26, 2026.

Source: parcadei/Continuous-Claude-v3 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.