Scaffold new Celeritas source and test files with the required copyright header and register them in CMake.

Custom licenceAuto-check passedAI & LLM Engineering

Install New Class

skills CLI
$ npx skills add celeritas-project/celeritas --skill new-class -a claude-code

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

GitHub CLI
$ gh skill install celeritas-project/celeritas new-class --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/celeritas-project/celeritas.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/new-class .claude/skills/new-class && 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
new-class
GitHub stars
105
Token cost
~496 tokens
SKILL.md length
183 words
Files
1
Skills in repo
3
Repo updated
First seen
Licence
Custom licence

At a glance

Scaffold new Celeritas source and test files with the required copyright header and register them in CMake.

  • Works in 3 steps: Generate stubs → Register in CMake → Fill in
  • Creating any new .hh/.cc/.cu/.test.cc file
  • SKILL.md covers 1. Generate stubs, 2. Register in CMake and 3. Fill in
  • Calls python3

What it does

New Class is an agent skill from celeritas-project/celeritas. Scaffold new Celeritas source and test files with the required copyright header and register them in CMake. Use when creating any new .hh/.cc/.cu/.test.cc file.

Its SKILL.md is about 500 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering. It works with C++ and CUDA. The repository describes itself as: Celeritas is a new Monte Carlo transport code designed to accelerate scientific discovery in high energy physics by improving detector simulation throughput and energy efficiency…

When your agent uses it

  • Creating any new .hh/.cc/.cu/.test.cc file

Example prompts

  • “/new-class”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Generate stubs
  2. Register in CMake
  3. Fill in

What it can do on your machine

Read from SKILL.md and the folder at commit f093ae2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

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

  • Network

    No URLs in SKILL.md.

    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

New Class loads about 496 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 183 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~496

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 passed

The automated check found no risky patterns in SKILL.md.

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 183 words (~496 tokens).

“Create new files with scripts/dev/celeritas-gen.py; never hand-write the copyright header. $ARGUMENTS names the class/files (e.g. src/celeritas/em/model/FooModel).”

— opening of SKILL.md by celeritas-project, Custom licence
name
new-class

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/new-class of celeritas-project/celeritas.

Open the folder on GitHubat commit f093ae2

Compare with similar skills

New Class 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.

New Class compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
New Class this skillceleritas-project/celeritas105—~496Automated safety check: PassCustom licence
Paddle BuildPaddlePaddle/Paddle24k—~1kAutomated safety check: PassApache-2.0
Fastllm Triton Opsztxz16/fastllm5.1k—~1.8kAutomated safety check: PassApache-2.0
Ako4allTongmingLAIC/AKO4ALL369—~4kAutomated safety check: PassMIT
Cuda Cpp Kernelvipshop/cache-dit1.3k—~2.3kAutomated safety check: PassApache-2.0
Paddle Op DevPaddlePaddle/Paddle24k—~1.3kAutomated safety check: PassApache-2.0

Similar skills

  • Paddle Build

    PaddlePaddle/Paddle

    A skill your agent uses when needing to compile, rebuild, or install Paddle from source after code changes.

    24k GitHub stars~1k tokensUpdated 8 days ago
    AI & LLM EngineeringAuto-check passed
  • Fastllm Triton Ops

    ztxz16/fastllm

    Guide for adding Triton-backed CUDA operators to FastLLM. An agent skill from ztxz16/fastllm.

    5.1k GitHub stars~1.8k tokensUpdated yesterday
    AI & LLM EngineeringAuto-check passed
  • Ako4all

    TongmingLAIC/AKO4ALL

    Drive an agentic loop that iteratively optimizes a GPU kernel for maximum speedup.

    369 GitHub stars~4k tokensUpdated 23 days ago
    AI & LLM EngineeringAuto-check passed
  • Cuda Cpp Kernel

    vipshop/cache-dit

    A skill your agent uses when writing, debugging, porting, reviewing, or optimizing CUDA C++ or PTX kernels; investigating CUDA Runtime or Driver API behavior; profiling kernels with Nsight Systems…

    1.3k GitHub stars~2.3k tokensUpdated 9 days ago
    AI & LLM EngineeringAuto-check passed
  • Paddle Op Dev

    PaddlePaddle/Paddle

    PaddlePaddle (飞桨) C++ 算子开发指南。提供从 YAML 配置、InferMeta 函数、Kernel 实现、Python API 封装、单元测试到编译验证的完整算子开发流程指导。在以下场景使用此 skill:(1) 为 Paddle 框架新增 C++ 算子 (2) 修改或调试已有 Paddle 算子 (3) 编写算子的 YAML…

    24k GitHub stars~1.3k tokensUpdated 8 days ago
    AI & LLM EngineeringAuto-check passed
  • Embedded AI Deployment

    matlab/agent-skills-playground

    Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder).

    181 GitHub starsUsed in 1 repo~3.4k tokens
    AI & LLM EngineeringAuto-check passed

More from celeritas-project/celeritas

  • Test Change

    celeritas-project/celeritas

    Build and run the unit tests covering changed Celeritas source files.

    105 GitHub stars~640 tokensUpdated yesterday
    Auto-check passed
  • Debug Test

    celeritas-project/celeritas

    Update .vscode/launch.json to debug a specific CTest test by name.

    105 GitHub stars~199 tokensUpdated yesterday
    Auto-check passed

Works with

Questions about New Class

What does New Class do?

Scaffold new Celeritas source and test files with the required copyright header and register them in CMake. New Class is an agent skill from celeritas-project/celeritas. Scaffold new Celeritas source and test files with the required copyright header and register them in CMake.

When should I use New Class?

New Class fits situations like: creating any new .hh/.cc/.cu/.test.cc file.

How do I install New Class in Claude Code?

Run `npx skills add celeritas-project/celeritas --skill new-class -a claude-code`. Or copy the skill folder (.claude/skills/new-class in celeritas-project/celeritas) into .claude/skills/new-class in your project. Claude Code loads it when a task matches its description.

How do I install New Class in Codex?

Run `npx skills add celeritas-project/celeritas --skill new-class -a codex`. Or copy the skill folder (.claude/skills/new-class in celeritas-project/celeritas) into .agents/skills/new-class in your project. Codex loads it when a task matches its description.

Can I use New Class 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 celeritas-project/celeritas --skill new-class -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/new-class, .gemini/skills/new-class, .github/skills/new-class and .opencode/skills/new-class in your project.

What does New Class need to run?

Going by SKILL.md and its folder, New Class needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does New Class access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is New Class safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does New Class use?

New Class has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does New Class use?

About 496 tokens (SKILL.md is roughly 2k 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 New Class?

Skills that share tags, products or a category with New Class: Paddle Build (PaddlePaddle/Paddle, 24k stars), Fastllm Triton Ops (ztxz16/fastllm, 5.1k stars), Ako4all (TongmingLAIC/AKO4ALL, 369 stars) and Cuda Cpp Kernel (vipshop/cache-dit, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains New Class?

celeritas-project (a GitHub organization) maintains it in celeritas-project/celeritas, which has 105 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 7, 2026.

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