Agent skill

Luncosim Onboarding

by LunCoSim in LunCoSim/lunco-sim

Help a new LunCoSim user or AI agent choose the right skill, understand the Twin/USD/Modelica/Rhai/SysML/Python boundaries, install or connect MCP, and start a source or installed build.

Apache-2.0Auto-check passed

Install Luncosim Onboarding

skills CLI
$ npx skills add LunCoSim/lunco-sim --skill luncosim-onboarding -a claude-code

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

GitHub CLI
$ gh skill install LunCoSim/lunco-sim luncosim-onboarding --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/LunCoSim/lunco-sim.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/luncosim-onboarding .claude/skills/luncosim-onboarding && 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
luncosim-onboarding
GitHub stars
107
Token cost
~504 tokens
SKILL.md length
220 words
Files
1
Skills in repo
40
Repo updated
First seen
Licence
Apache-2.0

At a glance

Help a new LunCoSim user or AI agent choose the right skill, understand the Twin/USD/Modelica/Rhai/SysML/Python boundaries, install or connect MCP, and start a source or installed build.

  • Works in 5 steps: State the requested outcome and inspect → Choose exactly one primary runbook from… → Read the owner/source and make the… → …
  • Questions like where do I start
  • Calls python3
  • What can LunCoSim do

What it does

Luncosim Onboarding is an agent skill from LunCoSim/lunco-sim. Help a new LunCoSim user or AI agent choose the right skill, understand the Twin/USD/Modelica/Rhai/SysML/Python boundaries, install or connect MCP, and start a source or installed build. Use for questions like “where do I start”, “what can LunCoSim do”, “how do skills work”, or “which format/tool should I use”.

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 works with Model Context Protocol and Python. The repository describes itself as: Collaborative Multiphysics Cosimulator For Space Missions 🌎🚀🌚. The licence is Apache-2.0.

When your agent uses it

  • Questions like where do I start
  • What can LunCoSim do
  • How do skills work
  • Which format/tool should I use

Example prompts

  • “where do I start”
  • “what can LunCoSim do”
  • “how do skills work”
  • “/luncosim-onboarding”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. State the requested outcome and inspect
  2. Choose exactly one primary runbook from ../README.md.
  3. Read the owner/source and make the smallest authored change in the format
  4. Validate with the production binary or API surface named by the runbook.
  5. Hand off owner, files, exact checks, runtime/visual evidence, limits, and

What it can do on your machine

Read from SKILL.md and the folder at commit 43f1301. 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

Luncosim Onboarding loads about 504 tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 220 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~504

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

The full file from LunCoSim/lunco-sim at commit 43f1301, republished under its Apache-2.0 licence (© LunCoSim). 220 words, ~504 tokens.

Download SKILL.mdSave it as .claude/skills/luncosim-onboarding/SKILL.md (or your agent's skills folder).
name
luncosim-onboarding
description
Help a new LunCoSim user or AI agent choose the right skill, understand the Twin/USD/Modelica/Rhai/SysML/Python boundaries, install or connect MCP, and start a source or installed build. Use for questions like “where do I start”, “what can LunCoSim do”, “how do skills work”, or “which format/tool should I use”.

LunCoSim onboarding and skill routing

Use this auto-discoverable skill as the first stop for an unfamiliar LunCoSim request. The full cross-host router is ../START-HERE.md; read it before choosing an implementation skill.

  1. State the requested outcome and inspect capability-discovery when the feature is not already known.
  2. Choose exactly one primary runbook from ../README.md. Supporting skills are loaded only when that primary runbook defers to them.
  3. Read the owner/source and make the smallest authored change in the format that owns the fact: USD for scene identity/topology/materials, Modelica for continuous equations, Rhai for policy/sequencing/verdicts, SysML/KerML for requirements and verification cases, and Rust for generic engine seams.
  4. Validate with the production binary or API surface named by the runbook. python3 scripts/validate_skills.py checks this catalogue only; Python is an optional LunCoSim integration, not a normal runtime requirement.
  5. Hand off owner, files, exact checks, runtime/visual evidence, limits, and branch/commit. “Not found” must name the searched scope; it is not a claim that the capability is impossible.

For MCP, install or run @lunco/mcp-server and point it at an already-running LunCoSim API. The server exposes the packaged skill catalog and Markdown resources, but it does not silently launch the simulator or replace the production binary. Set LUNCOSIM_BIN when the simulator is installed outside PATH; in a source checkout use the freshly built target/debug/luncosim.

© LunCoSim, Apache-2.0. 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 skills/luncosim-onboarding of LunCoSim/lunco-sim.

Open the folder on GitHubat commit 43f1301

Compare with similar skills

Luncosim Onboarding 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.

Luncosim Onboarding compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Luncosim Onboarding this skillLunCoSim/lunco-sim107—~504Automated safety check: PassApache-2.0
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k4 repos~1.2kAutomated safety check: PassMIT
MemPalace Setup and OperationMemPalace/mempalace60k—~2.2kAutomated safety check: PassMIT
LangBot Plugin Developmentlangbot-app/LangBot18k—~3.9kAutomated safety check: PassApache-2.0
Vexor CLIscarletkc/vexor2443 repos~1.2kAutomated safety check: PassMIT

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Questions about Luncosim Onboarding

What does Luncosim Onboarding do?

Help a new LunCoSim user or AI agent choose the right skill, understand the Twin/USD/Modelica/Rhai/SysML/Python boundaries, install or connect MCP, and start a source or installed build. Luncosim Onboarding is an agent skill from LunCoSim/lunco-sim. Help a new LunCoSim user or AI agent choose the right skill, understand the Twin/USD/Modelica/Rhai/SysML/Python boundaries, install or connect MCP, and start a source or installed build.

When should I use Luncosim Onboarding?

Luncosim Onboarding fits situations like: questions like where do I start; what can LunCoSim do; how do skills work; which format/tool should I use.

How do I install Luncosim Onboarding in Claude Code?

Run `npx skills add LunCoSim/lunco-sim --skill luncosim-onboarding -a claude-code`. Or copy the skill folder (skills/luncosim-onboarding in LunCoSim/lunco-sim) into .claude/skills/luncosim-onboarding in your project. Claude Code loads it when a task matches its description.

How do I install Luncosim Onboarding in Codex?

Run `npx skills add LunCoSim/lunco-sim --skill luncosim-onboarding -a codex`. Or copy the skill folder (skills/luncosim-onboarding in LunCoSim/lunco-sim) into .agents/skills/luncosim-onboarding in your project. Codex loads it when a task matches its description.

Can I use Luncosim Onboarding 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 LunCoSim/lunco-sim --skill luncosim-onboarding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/luncosim-onboarding, .gemini/skills/luncosim-onboarding, .github/skills/luncosim-onboarding and .opencode/skills/luncosim-onboarding in your project.

What does Luncosim Onboarding need to run?

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

Does Luncosim Onboarding 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 Luncosim Onboarding 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 Luncosim Onboarding use?

Luncosim Onboarding is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Luncosim Onboarding use?

About 504 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 Luncosim Onboarding?

Skills that share tags, products or a category with Luncosim Onboarding: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MemPalace Setup and Operation (MemPalace/mempalace, 60k stars) and LangBot Plugin Development (langbot-app/LangBot, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Luncosim Onboarding?

LunCoSim (a GitHub organization) maintains it in LunCoSim/lunco-sim, which has 107 GitHub stars. The repository holds 40 skills in this directory. The repository was last updated on October 10, 2026.

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