Agent skill

Vehicle Selection

by quarkusio in quarkusio/quarkus-workshop-langchain4j

Guidance for selecting the right rental vehicle category based on trip type, passenger count, terrain, and budget.

Apache-2.0Auto-check passed

Install Vehicle Selection

skills CLI
$ npx skills add quarkusio/quarkus-workshop-langchain4j --skill vehicle-selection -a claude-code

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

GitHub CLI
$ gh skill install quarkusio/quarkus-workshop-langchain4j vehicle-selection --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/quarkusio/quarkus-workshop-langchain4j.git skills-src && mkdir -p .claude/skills && cp -r skills-src/section-3/step-01/src/main/resources/skills/vehicle-selection .claude/skills/vehicle-selection && 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
vehicle-selection
GitHub stars
110
Token cost
~354 tokens
SKILL.md length
175 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
Apache-2.0

At a glance

Guidance for selecting the right rental vehicle category based on trip type, passenger count, terrain, and budget.

  • SKILL.md covers By Trip Type, By Group Size and Key Rules
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Vehicle Selection is an agent skill from quarkusio/quarkus-workshop-langchain4j. Guidance for selecting the right rental vehicle category based on trip type, passenger count, terrain, and budget.

Its SKILL.md is about 350 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. The repository describes itself as: Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration. The licence is Apache-2.0.

Example prompts

  • “/vehicle-selection”

What it can do on your machine

Read from SKILL.md and the folder at commit a4e5d67. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Vehicle Selection loads about 354 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 175 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~354

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 quarkusio/quarkus-workshop-langchain4j at commit a4e5d67, republished under its Apache-2.0 licence (© quarkusio). 175 words, ~354 tokens.

Download SKILL.mdSave it as .claude/skills/vehicle-selection/SKILL.md (or your agent's skills folder).
name
vehicle-selection
description
Guidance for selecting the right rental vehicle category based on trip type, passenger count, terrain, and budget.

Vehicle Selection Guidance

By Trip Type

  • Family: Prioritize space over style. An MPV or 7-seat SUV fits car seats, luggage, and restless passengers. Automatic gearbox is strongly preferred — manual clutch work in Alpine traffic or Italian city centres is fatiguing with children.
  • Adventure: Ground clearance matters more than engine power. A compact SUV handles most classified mountain roads. Full 4WD is only necessary for unclassified tracks, winter Alpine passes, and Norwegian fjord roads outside summer.
  • Business: Comfort over capability. Executive sedan (BMW 5 Series class) for client-facing trips; a well-specced compact for solo city-hopping. Diesel for motorway-heavy legs over 400 km/day.

By Group Size

  • 1–2 travelers: compact, compact SUV, or convertible for scenic routes
  • 3–4 travelers: estate or compact SUV
  • 5+ travelers: MPV or 7-seat SUV; consider two vehicles for 7+

Key Rules

  • Always recommend automatic gearbox for city-heavy itineraries and mountain destinations.
  • 4WD adds cost (roughly €15–25/day). Only recommend it when terrain genuinely requires it.
  • Full electric vehicles are only practical on well-serviced corridors. Avoid recommending EV for rural Southern or Eastern Europe routes.

© quarkusio, 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 section-3/step-01/src/main/resources/skills/vehicle-selection of quarkusio/quarkus-workshop-langchain4j.

Open the folder on GitHubat commit a4e5d67

Compare with similar skills

Vehicle Selection 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.

Vehicle Selection compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Vehicle Selection this skillquarkusio/quarkus-workshop-langchain4j110—~354Automated safety check: PassApache-2.0
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
MCP Server BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT
MCP Integration for Pluginsanthropics/claude-plugins-official38k11 repos~3.1kAutomated safety check: PassApache-2.0
Figma use_figma Plugin API Ruleswarpdotdev/warp65k4 repos~4.4kAutomated safety check: PassAGPL-3.0
Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills8.4k6 repos~3.2kAutomated safety check: NotesApache-2.0

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Questions about Vehicle Selection

What does Vehicle Selection do?

Guidance for selecting the right rental vehicle category based on trip type, passenger count, terrain, and budget. Vehicle Selection is an agent skill from quarkusio/quarkus-workshop-langchain4j. Guidance for selecting the right rental vehicle category based on trip type, passenger count, terrain, and budget.

How do I install Vehicle Selection in Claude Code?

Run `npx skills add quarkusio/quarkus-workshop-langchain4j --skill vehicle-selection -a claude-code`. Or copy the skill folder (section-3/step-01/src/main/resources/skills/vehicle-selection in quarkusio/quarkus-workshop-langchain4j) into .claude/skills/vehicle-selection in your project. Claude Code loads it when a task matches its description.

How do I install Vehicle Selection in Codex?

Run `npx skills add quarkusio/quarkus-workshop-langchain4j --skill vehicle-selection -a codex`. Or copy the skill folder (section-3/step-01/src/main/resources/skills/vehicle-selection in quarkusio/quarkus-workshop-langchain4j) into .agents/skills/vehicle-selection in your project. Codex loads it when a task matches its description.

Can I use Vehicle Selection 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 quarkusio/quarkus-workshop-langchain4j --skill vehicle-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vehicle-selection, .gemini/skills/vehicle-selection, .github/skills/vehicle-selection and .opencode/skills/vehicle-selection in your project.

What does Vehicle Selection need to run?

SKILL.md names no scripts, command-line tools or credentials: Vehicle Selection is instructions for the agent only.

Does Vehicle Selection 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 Vehicle Selection 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 Vehicle Selection use?

Vehicle Selection 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 Vehicle Selection use?

About 354 tokens (SKILL.md is roughly 1.4k 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 Vehicle Selection?

Skills that share tags, products or a category with Vehicle Selection: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vehicle Selection?

quarkusio (a GitHub organization) maintains it in quarkusio/quarkus-workshop-langchain4j, which has 110 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 6, 2026.

Source: quarkusio/quarkus-workshop-langchain4j on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.