year-make-model

SkillAI & models

Look up vehicle data by Year, Make, and Model using the CarsXE YMM API. Use this when a user doesn't have a VIN but knows the year, make, and model of a vehicle and wants specs, trims, or features.

Use year-make-model in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add year-make-model and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the year-make-model skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

year-make-modelStart free

What this skill tells your AI

The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/carsxe/carsxe-codex-plugin/skills/year-make-model/SKILL.md and read by Ahel’s review.

When the user wants to browse available years, makes, models, or trims (dropdowns, "which years was X sold"), use the ymm-options skill (/v1/ymm-options) instead of this specs lookup.

When the user asks about a vehicle by year, make, and model (without a VIN):

  1. Make an HTTP GET request to the CarsXE YMM API:
    GET https://api.carsxe.com/v1/ymm?key={CARSXE_API_KEY}&year={YEAR}&make={MAKE}&model={MODEL}&source=codex_plugin[&trim={TRIM}]
    
    Only include trim if the user specified one.
  2. Present available trims, engine options, features, and specs.
  3. If the user didn't specify a trim, list all available trims for that year/make/model.
  4. If the API key is missing, tell the user to set the CARSXE_API_KEY environment variable (see AGENTS.md).

Signals

GitHub stars
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Last commit
Oct 2026
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Item type
skill
Key
year-make-model
Source
github.com/hashgraph-online/awesome-codex-plugins