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Juminuit Usage

Category: Engineering  ·  Sub-category: languages  ·  Last updated:
Quick-reference for USING the JuMinuit.jl Julia package (a native-Julia Minuit2 port with an iminuit / IMinuit.jl-style API) to minimize a χ²/likelihood and analyze fit errors. Use when writing or editing Julia code that fits data with `Minuit`, `migrad!`, `minos!`, `hesse!`, the cost-function objects (`LeastSquares`/`UnbinnedNLL`/`BinnedNLL`/…), `mncontour`/`profile`, `extremize`/`profile_band` (derived-quantity intervals & error bands), `bootstrap`/`jackknife`, `get_contours_samples`, `find_solution_modes`, or `find_deeper_minimum`; or when porting Python-iminuit or IMinuit.jl fitting code to JuMinuit. Covers the bang-method idiom (`migrad!(m)` not `m.migrad()`), the FCN/result conventions, AD & threaded gradients, bounds/fixed parameters, and the error-analysis decision guide — so the API is recalled, not guessed.
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From the source SKILL.md

JuMinuit.jl is a pure-Julia port of C++ Minuit2 with an API that mirrors Python iminuit / IMinuit.jl. This skill is for using JuMinuit as a dependency in a fitting project. (If you are editing the JuMinuit repo itself, its own src/ docstrings and docs/src/ are the source of truth.)

What this skill does

Juminuit Usage is a community-contributed Claude Code skill in the languages sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/juminuit-usage/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when writing or editing Julia code that fits data with `Minuit`, `migrad!`, `minos!`, `hesse!`, the cost-function objects (`LeastSquares`/`UnbinnedNLL`/`BinnedNLL`/…), `mncontour`/`profile`, `extremize`/`profile_band` (derived-quantity intervals & error bands), `bootstrap`/`jackknife`, `get_contours_samples`, `find_solution_modes`, or `find_deeper_minimum`; or when porting Python-iminuit or IMinuit.jl fitting code to JuMinuit.

Who uses this skill

The Juminuit Usage Claude Code skill is built for software engineers, backend developers, full-stack teams, and technical leads building and maintaining production systems. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 158,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/juminuit-usage
curl -L https://claudskills.com/skills/juminuit-usage/SKILL.md \
  -o ~/.claude/skills/juminuit-usage/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/juminuit-usage/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/juminuit-usage/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\juminuit-usage\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

📱 Install from your phone or desktop Telegram

Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

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See pricing → Download desktop app

Frequently asked questions

How do I install the Juminuit Usage Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/juminuit-usage/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Juminuit Usage skill do?
Quick-reference for USING the JuMinuit.jl Julia package (a native-Julia Minuit2 port with an iminuit / IMinuit.jl-style API) to minimize a χ²/likelihood and analyze fit errors. Use when writing or editing Julia code that fits data with `Minuit`, `migrad!`, `minos!`, `hesse!`, the cost-function objects (`LeastSquares`/`UnbinnedNLL`/`BinnedNLL`/…), `mncontour`/`profile`, `extremize`/`profile_band` (derived-quantity intervals & error bands), `bootstrap`/`jackknife`, `get_contours_samples`, `find_solution_modes`, or `find_deeper_minimum`; or when porting Python-iminuit or IMinuit.jl fitting code to JuMinuit. Covers the bang-method idiom (`migrad!(m)` not `m.migrad()`), the FCN/result conventions, AD & threaded gradients, bounds/fixed parameters, and the error-analysis decision guide — so the API is recalled, not guessed.
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Juminuit Usage skill?
Use Juminuit Usage when your Claude Code task falls under the Engineering category — specifically in the languages area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Juminuit Usage" or describe the task and let Claude pick). Browse related skills at /category/engineering/.
What is a Claude Code skill and how does the Juminuit Usage skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Juminuit Usage is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Engineering category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
fkguo. (2026). Juminuit Usage [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/juminuit-usage/
BibTeX
@misc{juminuit-usage-2026,
  author    = {fkguo},
  title     = {Juminuit Usage [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/juminuit-usage/}
}

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