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extract-fleet-vehicle-registration

Extract vehicle identification, owner details, registration dates, and technical specifications from vehicle registration documents.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

iterationlayer/skills

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SKILL.md14.1 KB

SKILL.md(원문)

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Extract Fleet Vehicle Registration Data

Fleet management agencies use this recipe to digitize vehicle registration documents — extracting VIN numbers, registration dates, insurance details, and technical specs for centralized fleet databases.

APIs Used

Document Extraction (1 credit per page)

Prerequisites

You need an Iteration Layer API key. Get one at platform.iterationlayer.com during the 7-day trial.

For full integration guidance (SDKs, auth, MCP, error handling), see the Iteration Layer Integration Guide.

Implementation

curl -X POST https://api.iterationlayer.com/document-extraction/v1/extract \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "files": [
      {
        "type": "url",
        "name": "vehicle-registration-FL-4821.pdf",
        "url": "https://example.com/fleet/registration-FL-4821.pdf"
      }
    ],
    "schema": {
      "fields": [
        {
          "name": "license_plate",
          "type": "TEXT",
          "description": "Vehicle license plate number"
        },
        {
          "name": "vin",
          "type": "TEXT",
          "description": "Vehicle Identification Number (VIN)"
        },
        {
          "name": "make",
          "type": "TEXT",
          "description": "Vehicle manufacturer"
        },
        {
          "name": "model",
          "type": "TEXT",
          "description": "Vehicle model"
        },
        {
          "name": "year",
          "type": "INTEGER",
          "description": "Model year"
        },
        {
          "name": "body_type",
          "type": "TEXT",
          "description": "Body type, e.g. van, truck, sedan"
        },
        {
          "name": "fuel_type",
          "type": "TEXT",
          "description": "Fuel type, e.g. diesel, electric, petrol"
        },
        {
          "name": "registered_owner",
          "type": "TEXT",
          "description": "Registered owner name or company"
        },
        {
          "name": "registration_date",
          "type": "DATE",
          "description": "Date of first registration"
        },
        {
          "name": "registration_expiry",
          "type": "DATE",
          "description": "Registration expiry date"
        },
        {
          "name": "gross_vehicle_weight",
          "type": "TEXT",
          "description": "Maximum gross vehicle weight"
        },
        {
          "name": "emission_class",
          "type": "TEXT",
          "description": "Emission standard class"
        }
      ]
    }
  }'

import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });

const result = await client.extractDocument({
  files: [
    {
      type: "url",
      name: "vehicle-registration-FL-4821.pdf",
      url: "https://example.com/fleet/registration-FL-4821.pdf",
    },
  ],
  schema: {
    fields: [
      { name: "license_plate", type: "TEXT", description: "Vehicle license plate number" },
      { name: "vin", type: "TEXT", description: "Vehicle Identification Number (VIN)" },
      { name: "make", type: "TEXT", description: "Vehicle manufacturer" },
      { name: "model", type: "TEXT", description: "Vehicle model" },
      { name: "year", type: "INTEGER", description: "Model year" },
      { name: "body_type", type: "TEXT", description: "Body type, e.g. van, truck, sedan" },
      { name: "fuel_type", type: "TEXT", description: "Fuel type, e.g. diesel, electric, petrol" },
      { name: "registered_owner", type: "TEXT", description: "Registered owner name or company" },
      { name: "registration_date", type: "DATE", description: "Date of first registration" },
      { name: "registration_expiry", type: "DATE", description: "Registration expiry date" },
      { name: "gross_vehicle_weight", type: "TEXT", description: "Maximum gross vehicle weight" },
      { name: "emission_class", type: "TEXT", description: "Emission standard class" },
    ],
  },
});

from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")

result = client.extract_document(
    files=[
        {
            "type": "url",
            "name": "vehicle-registration-FL-4821.pdf",
            "url": "https://example.com/fleet/registration-FL-4821.pdf",
        }
    ],
    schema={
        "fields": [
            {"name": "license_plate", "type": "TEXT", "description": "Vehicle license plate number"},
            {"name": "vin", "type": "TEXT", "description": "Vehicle Identification Number (VIN)"},
            {"name": "make", "type": "TEXT", "description": "Vehicle manufacturer"},
            {"name": "model", "type": "TEXT", "description": "Vehicle model"},
            {"name": "year", "type": "INTEGER", "description": "Model year"},
            {"name": "body_type", "type": "TEXT", "description": "Body type, e.g. van, truck, sedan"},
            {"name": "fuel_type", "type": "TEXT", "description": "Fuel type, e.g. diesel, electric, petrol"},
            {"name": "registered_owner", "type": "TEXT", "description": "Registered owner name or company"},
            {"name": "registration_date", "type": "DATE", "description": "Date of first registration"},
            {"name": "registration_expiry", "type": "DATE", "description": "Registration expiry date"},
            {"name": "gross_vehicle_weight", "type": "TEXT", "description": "Maximum gross vehicle weight"},
            {"name": "emission_class", "type": "TEXT", "description": "Emission standard class"},
        ]
    },
)

package main

import il "github.com/iterationlayer/sdk-go"

func main() {
	client := il.NewClient("YOUR_API_KEY")

	result, err := client.ExtractDocument(il.ExtractDocumentRequest{
		Files: []il.FileInput{
			il.FileInput{
				Type: "url",
				Name: "vehicle-registration-FL-4821.pdf",
				Url: "https://example.com/fleet/registration-FL-4821.pdf",
			},
		},
		Schema: il.ExtractionSchema{
			Fields: []any{
				il.TextFieldConfig{
					Name: "license_plate",
					Type: "TEXT",
					Description: "Vehicle license plate number",
				},
				il.TextFieldConfig{
					Name: "vin",
					Type: "TEXT",
					Description: "Vehicle Identification Number (VIN)",
				},
				il.TextFieldConfig{
					Name: "make",
					Type: "TEXT",
					Description: "Vehicle manufacturer",
				},
				il.TextFieldConfig{
					Name: "model",
					Type: "TEXT",
					Description: "Vehicle model",
				},
				il.IntegerFieldConfig{
					Name: "year",
					Type: "INTEGER",
					Description: "Model year",
				},
				il.TextFieldConfig{
					Name: "body_type",
					Type: "TEXT",
					Description: "Body type, e.g. van, truck, sedan",
				},
				il.TextFieldConfig{
					Name: "fuel_type",
					Type: "TEXT",
					Description: "Fuel type, e.g. diesel, electric, petrol",
				},
				il.TextFieldConfig{
					Name: "registered_owner",
					Type: "TEXT",
					Description: "Registered owner name or company",
				},
				il.DateFieldConfig{
					Name: "registration_date",
					Type: "DATE",
					Description: "Date of first registration",
				},
				il.DateFieldConfig{
					Name: "registration_expiry",
					Type: "DATE",
					Description: "Registration expiry date",
				},
				il.TextFieldConfig{
					Name: "gross_vehicle_weight",
					Type: "TEXT",
					Description: "Maximum gross vehicle weight",
				},
				il.TextFieldConfig{
					Name: "emission_class",
					Type: "TEXT",
					Description: "Emission standard class",
				},
			},
		},
	})
	if err != nil {
		panic(err)
	}

	_ = result
}

{
  "name": "Extract fleet vehicle registration data in Iteration Layer",
  "nodes": [
    {
      "parameters": {
        "content": "## Extract Fleet Vehicle Registration Data\n\nFleet management agencies use this recipe to digitize vehicle registration documents — extracting VIN numbers, registration dates, insurance details, and technical specs for centralized fleet databases.\n\n**Note:** This workflow uses the Iteration Layer community node (`n8n-nodes-iterationlayer`). Install it via Settings > Community Nodes on self-hosted n8n, or add it directly on n8n Cloud with Verified Community Nodes enabled.",
        "height": 280,
        "width": 500,
        "color": 2
      },
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        200,
        40
      ],
      "id": "b8c9d0e1-f2a3-4567-bcde-567890123401",
      "name": "Overview"
    },
    {
      "parameters": {
        "content": "### Step 1: Extract Registration Data\nResource: **Document Extraction**\n\nConfigure the Document Extraction parameters below, then connect your credentials.",
        "height": 160,
        "width": 300,
        "color": 6
      },
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        475,
        100
      ],
      "id": "b8c9d0e1-f2a3-4567-bcde-567890123402",
      "name": "Step 1 Note"
    },
    {
      "parameters": {},
      "type": "n8n-nodes-base.manualTrigger",
      "typeVersion": 1,
      "position": [
        250,
        300
      ],
      "id": "b8c9d0e1-f2a3-4567-bcde-567890123403",
      "name": "Manual Trigger"
    },
    {
      "parameters": {
        "resource": "documentExtraction",
        "schemaInputMode": "rawJson",
        "schemaJson": "{\"fields\":[{\"name\":\"license_plate\",\"type\":\"TEXT\",\"description\":\"Vehicle license plate number\"},{\"name\":\"vin\",\"type\":\"TEXT\",\"description\":\"Vehicle Identification Number (VIN)\"},{\"name\":\"make\",\"type\":\"TEXT\",\"description\":\"Vehicle manufacturer\"},{\"name\":\"model\",\"type\":\"TEXT\",\"description\":\"Vehicle model\"},{\"name\":\"year\",\"type\":\"INTEGER\",\"description\":\"Model year\"},{\"name\":\"body_type\",\"type\":\"TEXT\",\"description\":\"Body type\"},{\"name\":\"fuel_type\",\"type\":\"TEXT\",\"description\":\"Fuel type\"},{\"name\":\"registered_owner\",\"type\":\"TEXT\",\"description\":\"Registered owner name or company\"},{\"name\":\"registration_date\",\"type\":\"DATE\",\"description\":\"Date of first registration\"},{\"name\":\"registration_expiry\",\"type\":\"DATE\",\"description\":\"Registration expiry date\"},{\"name\":\"gross_vehicle_weight\",\"type\":\"TEXT\",\"description\":\"Maximum gross vehicle weight\"},{\"name\":\"emission_class\",\"type\":\"TEXT\",\"description\":\"Emission standard class\"}]}",
        "files": {
          "fileValues": [
            {
              "fileInputMode": "url",
              "fileName": "vehicle-registration-FL-4821.pdf",
              "fileUrl": "https://example.com/fleet/registration-FL-4821.pdf"
            }
          ]
        }
      },
      "type": "n8n-nodes-iterationlayer.iterationLayer",
      "typeVersion": 1,
      "position": [
        500,
        300
      ],
      "id": "b8c9d0e1-f2a3-4567-bcde-567890123404",
      "name": "Extract Registration Data",
      "credentials": {
        "iterationLayerApi": {
          "id": "1",
          "name": "Iteration Layer API"
        }
      }
    }
  ],
  "connections": {
    "Manual Trigger": {
      "main": [
        [
          {
            "node": "Extract Registration Data",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}

Extract fleet vehicle registration data from the file at [file URL]. Use the extract_document tool with these fields:

- license_plate (TEXT): Vehicle license plate number
- vin (TEXT): Vehicle Identification Number (VIN)
- make (TEXT): Vehicle manufacturer
- model (TEXT): Vehicle model
- year (INTEGER): Model year
- body_type (TEXT): Body type, e.g. van, truck, sedan
- fuel_type (TEXT): Fuel type, e.g. diesel, electric, petrol
- registered_owner (TEXT): Registered owner name or company
- registration_date (DATE): Date of first registration
- registration_expiry (DATE): Registration expiry date
- gross_vehicle_weight (TEXT): Maximum gross vehicle weight
- emission_class (TEXT): Emission standard class

Response

{
  "success": true,
  "data": {
    "license_plate": {
      "value": "MI-4821-KZ",
      "confidence": 0.99,
      "citations": [
        "Targa: MI-4821-KZ"
      ]
    },
    "vin": {
      "value": "WVGZZZ5NZYW048291",
      "confidence": 0.98,
      "citations": [
        "Telaio: WVGZZZ5NZYW048291"
      ]
    },
    "make": {
      "value": "Iveco",
      "confidence": 0.99,
      "citations": [
        "Marca: Iveco"
      ]
    },
    "model": {
      "value": "Daily 35S14",
      "confidence": 0.97,
      "citations": [
        "Modello: Daily 35S14"
      ]
    },
    "year": {
      "value": 2024,
      "confidence": 0.98,
      "citations": [
        "Anno: 2024"
      ]
    },
    "body_type": {
      "value": "Van",
      "confidence": 0.96,
      "citations": [
        "Carrozzeria: Furgone"
      ]
    },
    "fuel_type": {
      "value": "Diesel",
      "confidence": 0.99,
      "citations": [
        "Alimentazione: Gasolio"
      ]
    },
    "registered_owner": {
      "value": "Veloce Logistics S.r.l.",
      "confidence": 0.98,
      "citations": [
        "Intestatario: Veloce Logistics S.r.l."
      ]
    },
    "registration_date": {
      "value": "2024-06-12",
      "confidence": 0.97,
      "citations": [
        "Data immatricolazione: 12/06/2024"
      ]
    },
    "registration_expiry": {
      "value": "2026-06-12",
      "confidence": 0.96,
      "citations": [
        "Scadenza revisione: 12/06/2026"
      ]
    },
    "gross_vehicle_weight": {
      "value": "3,500 kg",
      "confidence": 0.97,
      "citations": [
        "Massa complessiva: 3.500 kg"
      ]
    },
    "emission_class": {
      "value": "Euro 6d",
      "confidence": 0.95,
      "citations": [
        "Classe emissioni: Euro 6d"
      ]
    }
  }
}

리뷰

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iterationlayer의 스킬 모두 보기

이 스킬의 문제 신고

설치

명령으로 설치

npx skills add https://github.com/iterationlayer/skills --skill extract-fleet-vehicle-registration

터미널에 붙여 넣고 실행합니다(Node.js 필요). Claude Code, Codex 등 설치할 에이전트를 고를 수 있습니다.

에이전트에게 부탁하기

다음 Agent Skill을 설치해 주세요.
https://github.com/iterationlayer/skills/tree/main/skills/extract-fleet-vehicle-registration

먼저 SKILL.md와 첨부 파일의 내용을 확인해 수상한 처리(외부 전송, 인증 정보 읽기 등)가 없는지 확인한 뒤 Claude Code는 ~/.claude/skills/extract-fleet-vehicle-registration/, Codex는 ~/.agents/skills/extract-fleet-vehicle-registration/ 에 배치해 주세요.

이 문장을 그대로 Claude Code나 Codex에 보내면 내용을 확인한 뒤 설치해 줍니다.

GitHub에서 소스 보기

저장소: iterationlayer/skills
스타: 4
포크: 0
카테고리: 기타
라이선스: MIT
원문 언어: 영어
최종 업데이트: 2026년 6월 9일

스킬은 에이전트를 위한 지시와 스크립트의 묶음입니다. cccskills는 내용의 안전성을 보증하지 않습니다. 설치하기 전에 내용을 확인하세요.

포함된 파일(1)

SKILL.md(원문)

Extract Fleet Vehicle Registration Data

APIs Used

Prerequisites

Implementation

Response

Links

리뷰

댓글

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