Individual skill

auto-dev

Use when working with Auto.dev APIs, vehicle data, VIN decoding, car listings, vehicle photos, specs, recalls, payments, interest rates, taxes, OEM build data, plate-to-VIN, CLI commands, MCP tools, or SDK methods for any automotive data task

SKILL.md

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Observed behavior: Network or broad shell
Last checked: Nov 6, 2026

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Repository stars (not skill ratings): 19
Repository last updated: Aug 20, 2026
License: MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

agent-skills Repository topic
automotive-data Repository topic
car-api Repository topic
claude-code Repository topic
codex-skills Repository topic
vehicle-listings Repository topic
vin-decoder Repository topic
auto-dev Repository topic
automotive-apis Repository topic
automotive Declared skill tag
vehicle-data Declared skill tag
vin Declared skill tag
listings Declared skill tag
api Declared skill tag
auto-dev Declared skill tag
car-search Declared skill tag
recalls Declared skill tag
mcp Declared skill tag
sdk Declared skill tag
cli Declared skill tag
data Derived category

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.github/FUNDING.ymlasset · 15 bytes
.github/ISSUE_TEMPLATE/bug_report.mddoc · 702 bytes
.github/ISSUE_TEMPLATE/feature_request.mddoc · 642 bytes
.gitignoreasset · 474 bytes
CODE_OF_CONDUCT.mddoc · 2,126 bytes
CONTRIBUTING.mddoc · 2,883 bytes
LICENSEasset · 1,065 bytes
README.mddoc · 9,163 bytes
SKILL.mdcore · 8,391 bytes
app-scaffolding.mddoc · 8,825 bytes
assets/autodev.pngasset · 3,376,049 bytes
business-workflows.mddoc · 7,861 bytes
chaining-patterns.mddoc · 4,259 bytes
code-patterns.mddoc · 18,146 bytes
error-recovery.mddoc · 4,998 bytes
examples.mddoc · 9,864 bytes
glama.jsonasset · 99 bytes
integration-recipes.mddoc · 13,132 bytes
interactive-explorer.mddoc · 4,346 bytes
pricing.mddoc · 3,345 bytes
v1-apis.mddoc · 4,197 bytes
v2-listings-api.mddoc · 3,368 bytes
v2-plate-api.mddoc · 1,422 bytes
v2-vin-apis.mddoc · 8,520 bytes

Read excerpt


# Auto.dev

Automotive data for AI agents — via MCP tools, CLI commands, SDK methods, or direct API calls.

## Detect Your Surface

Check in this order. Use the first one available:

**1. MCP** — Check if `auto_decode` is in your available tools.
If yes: use `auto_*` tools for everything. Do NOT make raw HTTP calls.
To install: `npx @auto.dev/sdk mcp install` (installs globally and configures Claude Code, Claude Desktop, Cursor, Windsurf, VS Code Copilot, Cline, Zed).

**2. CLI** — Run `auto --version`.
If installed: authenticate once with `auto login` (OAuth — no API key needed), then use `auto` commands.