Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
iterationlayer/skills42026년 6월 9일 업데이트
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extract-purchase-order-and-generate-confirmation
Extract line items and delivery details from a customer purchase order PDF, then generate a formatted order confirmation PDF ready to send back to the buyer.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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SKILL.md(원문)
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Extract a Purchase Order and Generate a Confirmation
B2B suppliers and manufacturers use this pipeline to automatically process inbound purchase orders and return a formatted confirmation PDF — acknowledging line items, delivery date, and total — without manual re-entry.
APIs Used
Document Extraction (1 credit per page), Document Generation (1 credits/request)
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
# Step 1: Extract purchase order data
EXTRACTION=$(curl -s -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": "po-northstar-retail.pdf",
"url": "https://example.com/purchase-orders/po-northstar-retail.pdf"
}
],
"schema": {
"fields": [
{ "name": "customer_name", "type": "TEXT", "description": "Name of the customer or buying company" },
{ "name": "po_number", "type": "TEXT", "description": "Purchase order number" },
{ "name": "po_date", "type": "DATE", "description": "Date the PO was issued" },
{ "name": "requested_delivery_date", "type": "DATE", "description": "Requested delivery date" },
{ "name": "billing_address", "type": "TEXT", "description": "Customer billing address" },
{ "name": "shipping_address", "type": "TEXT", "description": "Delivery address" },
{
"name": "line_items",
"type": "ARRAY",
"description": "Individual line items on the purchase order",
"fields": [
{ "name": "product_sku", "type": "TEXT", "description": "Product SKU or item code" },
{ "name": "product_name", "type": "TEXT", "description": "Product name or description" },
{ "name": "quantity", "type": "INTEGER", "description": "Quantity ordered" },
{ "name": "unit_price", "type": "CURRENCY_AMOUNT", "description": "Price per unit" },
{ "name": "line_total", "type": "CURRENCY_AMOUNT", "description": "Total for this line item" }
]
},
{ "name": "currency", "type": "CURRENCY_CODE", "description": "Order currency" },
{ "name": "po_total", "type": "CURRENCY_AMOUNT", "description": "Total order value" }
]
}
}')
# Step 2: Generate the order confirmation PDF using extracted values
curl -X POST https://api.iterationlayer.com/document-generation/v1/generate \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"format": "pdf",
"document": {
"metadata": {
"title": "Order Confirmation — PO-2026-0847",
"author": "Meridian Manufacturing Co."
},
"page": {
"size": { "preset": "A4" },
"margins": {
"top_in_pt": 54,
"right_in_pt": 54,
"bottom_in_pt": 54,
"left_in_pt": 54
}
},
"content": [
{ "type": "headline", "level": "h1", "text": "Meridian Manufacturing Co." },
{ "type": "paragraph", "runs": [{ "text": "1840 Industrial Parkway\nColumbus, OH 43201\norders@meridian-mfg.com" }] },
{ "type": "separator" },
{ "type": "headline", "level": "h2", "text": "Order Confirmation" },
{
"type": "paragraph",
"runs": [
{ "text": "Order confirmed for: ", "font_weight": "bold" },
{ "text": "Northstar Retail Group\n" },
{ "text": "PO Number: ", "font_weight": "bold" },
{ "text": "PO-2026-0847\n" },
{ "text": "PO Date: ", "font_weight": "bold" },
{ "text": "2026-03-18\n" },
{ "text": "Estimated Delivery: ", "font_weight": "bold" },
{ "text": "2026-04-15" }
]
},
{
"type": "table",
"headers": [
{ "text": "SKU" },
{ "text": "Product" },
{ "text": "Qty" },
{ "text": "Unit Price" },
{ "text": "Line Total" }
],
"rows": [
[
{ "text": "SFT-GL-200" },
{ "text": "Industrial Safety Gloves" },
{ "text": "200" },
{ "text": "EUR 4.50" },
{ "text": "EUR 900.00" }
],
[
{ "text": "SFT-VS-150" },
{ "text": "High-Vis Safety Vests" },
{ "text": "150" },
{ "text": "EUR 12.00" },
{ "text": "EUR 1,800.00" }
],
[
{ "text": "SFT-BT-080" },
{ "text": "Steel-Toe Work Boots" },
{ "text": "80" },
{ "text": "EUR 67.50" },
{ "text": "EUR 5,400.00" }
]
]
},
{ "type": "separator" },
{
"type": "paragraph",
"runs": [
{ "text": "Order Total: EUR 8,100.00", "font_weight": "bold" }
]
},
{ "type": "paragraph", "runs": [{ "text": "Questions? Contact orders@meridian-mfg.com" }] }
]
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
// Step 1: Extract purchase order data
const extraction = await client.extractDocument({
files: [
{
type: "url",
name: "po-northstar-retail.pdf",
url: "https://example.com/purchase-orders/po-northstar-retail.pdf",
},
],
schema: {
fields: [
{
name: "customer_name",
type: "TEXT",
description: "Name of the customer or buying company",
},
{
name: "po_number",
type: "TEXT",
description: "Purchase order number",
},
{
name: "po_date",
type: "DATE",
description: "Date the PO was issued",
},
{
name: "requested_delivery_date",
type: "DATE",
description: "Requested delivery date",
},
{
name: "billing_address",
type: "TEXT",
description: "Customer billing address",
},
{
name: "shipping_address",
type: "TEXT",
description: "Delivery address",
},
{
name: "line_items",
type: "ARRAY",
description: "Individual line items on the purchase order",
fields: [
{
name: "product_sku",
type: "TEXT",
description: "Product SKU or item code",
},
{
name: "product_name",
type: "TEXT",
description: "Product name or description",
},
{
name: "quantity",
type: "INTEGER",
description: "Quantity ordered",
},
{
name: "unit_price",
type: "CURRENCY_AMOUNT",
description: "Price per unit",
},
{
name: "line_total",
type: "CURRENCY_AMOUNT",
description: "Total for this line item",
},
],
},
{
name: "currency",
type: "CURRENCY_CODE",
description: "Order currency",
},
{
name: "po_total",
type: "CURRENCY_AMOUNT",
description: "Total order value",
},
],
},
});
const customerName = String(extraction["customer_name"].value);
const poNumber = String(extraction["po_number"].value);
const poDate = String(extraction["po_date"].value);
const requestedDeliveryDate = String(
extraction["requested_delivery_date"].value,
);
const currency = String(extraction["currency"].value);
const poTotal = String(extraction["po_total"].value);
const lineItems = extraction["line_items"].value as Array<
Record<string, { value: unknown }>
>;
// Step 2: Generate the order confirmation PDF using extracted values
const confirmation = await client.generateDocument({
format: "pdf",
document: {
metadata: {
title: `Order Confirmation — ${poNumber}`,
author: "Meridian Manufacturing Co.",
},
page: {
size: { preset: "A4" },
margins: {
top_in_pt: 54,
right_in_pt: 54,
bottom_in_pt: 54,
left_in_pt: 54,
},
},
content: [
{ type: "headline", level: "h1", text: "Meridian Manufacturing Co." },
{
type: "paragraph",
runs: [
{
text: "1840 Industrial Parkway\nColumbus, OH 43201\norders@meridian-mfg.com",
},
],
},
{ type: "separator" },
{ type: "headline", level: "h2", text: "Order Confirmation" },
{
type: "paragraph",
runs: [
{ text: "Order confirmed for: ", font_weight: "bold" },
{ text: `${customerName}\n` },
{ text: "PO Number: ", font_weight: "bold" },
{ text: `${poNumber}\n` },
{ text: "PO Date: ", font_weight: "bold" },
{ text: `${poDate}\n` },
{ text: "Estimated Delivery: ", font_weight: "bold" },
{ text: requestedDeliveryDate },
],
},
{
type: "table",
headers: [
{ text: "SKU" },
{ text: "Product" },
{ text: "Qty" },
{ text: "Unit Price" },
{ text: "Line Total" },
],
rows: lineItems.map((item) => [
{ text: String(item["product_sku"].value) },
{ text: String(item["product_name"].value) },
{ text: String(item["quantity"].value) },
{ text: String(item["unit_price"].value) },
{ text: String(item["line_total"].value) },
]),
},
{ type: "separator" },
{
type: "paragraph",
runs: [
{ text: `Order Total: ${currency} ${poTotal}`, font_weight: "bold" },
],
},
{
type: "paragraph",
runs: [{ text: "Questions? Contact orders@meridian-mfg.com" }],
},
],
},
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
# Step 1: Extract purchase order data
extraction = client.extract_document(
files=[
{
"type": "url",
"name": "po-northstar-retail.pdf",
"url": "https://example.com/purchase-orders/po-northstar-retail.pdf",
}
],
schema={
"fields": [
{"name": "customer_name", "type": "TEXT", "description": "Name of the customer or buying company"},
{"name": "po_number", "type": "TEXT", "description": "Purchase order number"},
{"name": "po_date", "type": "DATE", "description": "Date the PO was issued"},
{"name": "requested_delivery_date", "type": "DATE", "description": "Requested delivery date"},
{"name": "billing_address", "type": "TEXT", "description": "Customer billing address"},
{"name": "shipping_address", "type": "TEXT", "description": "Delivery address"},
{
"name": "line_items",
"type": "ARRAY",
"description": "Individual line items on the purchase order",
"fields": [
{"name": "product_sku", "type": "TEXT", "description": "Product SKU or item code"},
{"name": "product_name", "type": "TEXT", "description": "Product name or description"},
{"name": "quantity", "type": "INTEGER", "description": "Quantity ordered"},
{"name": "unit_price", "type": "CURRENCY_AMOUNT", "description": "Price per unit"},
{"name": "line_total", "type": "CURRENCY_AMOUNT", "description": "Total for this line item"},
],
},
{"name": "currency", "type": "CURRENCY_CODE", "description": "Order currency"},
{"name": "po_total", "type": "CURRENCY_AMOUNT", "description": "Total order value"},
]
},
)
customer_name = extraction["customer_name"]["value"]
po_number = extraction["po_number"]["value"]
po_date = extraction["po_date"]["value"]
requested_delivery_date = extraction["requested_delivery_date"]["value"]
currency = extraction["currency"]["value"]
po_total = extraction["po_total"]["value"]
line_items = extraction["line_items"]["value"]
# Step 2: Generate the order confirmation PDF using extracted values
confirmation = client.generate_document(
format="pdf",
document={
"metadata": {
"title": f"Order Confirmation — {po_number}",
"author": "Meridian Manufacturing Co.",
},
"page": {
"size": {"preset": "A4"},
"margins": {
"top_in_pt": 54,
"right_in_pt": 54,
"bottom_in_pt": 54,
"left_in_pt": 54,
},
},
"content": [
{"type": "headline", "level": "h1", "text": "Meridian Manufacturing Co."},
{"type": "paragraph", "runs": [{"text": "1840 Industrial Parkway\nColumbus, OH 43201\norders@meridian-mfg.com"}]},
{"type": "separator"},
{"type": "headline", "level": "h2", "text": "Order Confirmation"},
{
"type": "paragraph",
"runs": [
{"text": "Order confirmed for: ", "font_weight": "bold"},
{"text": f"{customer_name}\n"},
{"text": "PO Number: ", "font_weight": "bold"},
{"text": f"{po_number}\n"},
{"text": "PO Date: ", "font_weight": "bold"},
{"text": f"{po_date}\n"},
{"text": "Estimated Delivery: ", "font_weight": "bold"},
{"text": requested_delivery_date},
],
},
{
"type": "table",
"headers": [
{"text": "SKU"},
{"text": "Product"},
{"text": "Qty"},
{"text": "Unit Price"},
{"text": "Line Total"},
],
"rows": [
[
{"text": item["product_sku"]["value"]},
{"text": item["product_name"]["value"]},
{"text": str(item["quantity"]["value"])},
{"text": str(item["unit_price"]["value"])},
{"text": str(item["line_total"]["value"])},
]
for item in line_items
],
},
{"type": "separator"},
{
"type": "paragraph",
"runs": [{"text": f"Order Total: {currency} {po_total}", "font_weight": "bold"}],
},
{"type": "paragraph", "runs": [{"text": "Questions? Contact orders@meridian-mfg.com"}]},
],
},
)
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: "po-northstar-retail.pdf",
Url: "https://example.com/purchase-orders/po-northstar-retail.pdf",
},
},
Schema: il.ExtractionSchema{
Fields: []any{
il.TextFieldConfig{
Name: "customer_name",
Type: "TEXT",
Description: "Name of the customer or buying company",
},
il.TextFieldConfig{
Name: "po_number",
Type: "TEXT",
Description: "Purchase order number",
},
il.DateFieldConfig{
Name: "po_date",
Type: "DATE",
Description: "Date the PO was issued",
},
il.DateFieldConfig{
Name: "requested_delivery_date",
Type: "DATE",
Description: "Requested delivery date",
},
il.TextFieldConfig{
Name: "billing_address",
Type: "TEXT",
Description: "Customer billing address",
},
il.TextFieldConfig{
Name: "shipping_address",
Type: "TEXT",
Description: "Delivery address",
},
il.ArrayFieldConfig{
Name: "line_items",
Type: "ARRAY",
Description: "Individual line items on the purchase order",
Fields: []any{
il.TextFieldConfig{
Name: "product_sku",
Type: "TEXT",
Description: "Product SKU or item code",
},
il.TextFieldConfig{
Name: "product_name",
Type: "TEXT",
Description: "Product name or description",
},
il.IntegerFieldConfig{
Name: "quantity",
Type: "INTEGER",
Description: "Quantity ordered",
},
il.CurrencyAmountFieldConfig{
Name: "unit_price",
Type: "CURRENCY_AMOUNT",
Description: "Price per unit",
},
il.CurrencyAmountFieldConfig{
Name: "line_total",
Type: "CURRENCY_AMOUNT",
Description: "Total for this line item",
},
},
},
il.CurrencyCodeFieldConfig{
Name: "currency",
Type: "CURRENCY_CODE",
Description: "Order currency",
},
il.CurrencyAmountFieldConfig{
Name: "po_total",
Type: "CURRENCY_AMOUNT",
Description: "Total order value",
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Extract a Purchase Order and Generate a Confirmation",
"nodes": [
{
"parameters": {
"content": "## Extract a Purchase Order and Generate a Confirmation\n\nB2B suppliers and manufacturers use this pipeline to automatically process inbound purchase orders and return a formatted confirmation PDF \u2014 acknowledging line items, delivery date, and total \u2014 without manual re-entry.\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": "acc63bdf-6459-43ef-8513-a8937f1b0a1d",
"name": "Overview"
},
{
"parameters": {
"content": "### Step 1: Extract Purchase Order\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": "b2954aa1-a811-433a-946f-3acefda1515b",
"name": "Step 1 Note"
},
{
"parameters": {
"content": "### Step 2: Generate Order Confirmation\nResource: **Document Generation**\n\nConfigure the Document Generation parameters below, then connect your credentials.",
"height": 160,
"width": 300,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
725,
100
],
"id": "8f523f93-f85d-47d8-a62e-395d8096e36d",
"name": "Step 2 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "a0b1c2d3-e4f5-6789-0abc-def012345678",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "documentExtraction",
"schemaInputMode": "rawJson",
"schemaJson": "[\n {\n \"name\": \"customer_name\",\n \"type\": \"TEXT\",\n \"description\": \"Name of the customer or buying company\"\n },\n {\n \"name\": \"po_number\",\n \"type\": \"TEXT\",\n \"description\": \"Purchase order number\"\n },\n {\n \"name\": \"po_date\",\n \"type\": \"DATE\",\n \"description\": \"Date the PO was issued\"\n },\n {\n \"name\": \"requested_delivery_date\",\n \"type\": \"DATE\",\n \"description\": \"Requested delivery date\"\n },\n {\n \"name\": \"billing_address\",\n \"type\": \"TEXT\",\n \"description\": \"Customer billing address\"\n },\n {\n \"name\": \"shipping_address\",\n \"type\": \"TEXT\",\n \"description\": \"Delivery address\"\n },\n {\n \"name\": \"line_items\",\n \"type\": \"ARRAY\",\n \"description\": \"Individual line items on the purchase order\",\n \"children\": [\n {\n \"name\": \"product_sku\",\n \"type\": \"TEXT\",\n \"description\": \"Product SKU or item code\"\n },\n {\n \"name\": \"product_name\",\n \"type\": \"TEXT\",\n \"description\": \"Product name or description\"\n },\n {\n \"name\": \"quantity\",\n \"type\": \"INTEGER\",\n \"description\": \"Quantity ordered\"\n },\n {\n \"name\": \"unit_price\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Price per unit\"\n },\n {\n \"name\": \"line_total\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Total for this line item\"\n }\n ]\n },\n {\n \"name\": \"currency\",\n \"type\": \"CURRENCY_CODE\",\n \"description\": \"Order currency\"\n },\n {\n \"name\": \"po_total\",\n \"type\": \"CURRENCY_AMOUNT\",\n \"description\": \"Total order value\"\n }\n]",
"files": {
"fileValues": [
{
"inputMode": "url",
"fileUrl": "https://example.com/purchase-orders/po-northstar-retail.pdf"
}
]
}
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "b1c2d3e4-f5a6-7890-1bcd-ef0123456789",
"name": "Extract Purchase Order",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
},
{
"parameters": {
"resource": "documentGeneration",
"format": "pdf",
"documentJson": "{\n \"metadata\": {\n \"title\": \"Order Confirmation \u2014 {{ $json.po_number }}\",\n \"author\": \"Meridian Manufacturing Co.\"\n },\n \"page\": {\n \"size\": { \"preset\": \"A4\" },\n \"margins\": {\n \"top_in_pt\": 54,\n \"right_in_pt\": 54,\n \"bottom_in_pt\": 54,\n \"left_in_pt\": 54\n }\n },\n \"content\": [\n { \"type\": \"headline\", \"level\": \"h1\", \"text\": \"Meridian Manufacturing Co.\" },\n { \"type\": \"paragraph\", \"runs\": [{ \"text\": \"1840 Industrial Parkway\\nColumbus, OH 43201\\norders@meridian-mfg.com\" }] },\n { \"type\": \"separator\" },\n { \"type\": \"headline\", \"level\": \"h2\", \"text\": \"Order Confirmation\" },\n {\n \"type\": \"paragraph\",\n \"runs\": [\n { \"text\": \"Order confirmed for: \", \"font_weight\": \"bold\" },\n { \"text\": \"{{ $json.customer_name }}\\n\" },\n { \"text\": \"PO Number: \", \"font_weight\": \"bold\" },\n { \"text\": \"{{ $json.po_number }}\\n\" },\n { \"text\": \"PO Date: \", \"font_weight\": \"bold\" },\n { \"text\": \"{{ $json.po_date }}\\n\" },\n { \"text\": \"Estimated Delivery: \", \"font_weight\": \"bold\" },\n { \"text\": \"{{ $json.requested_delivery_date }}\" }\n ]\n },\n {\n \"type\": \"table\",\n \"headers\": [\n { \"text\": \"SKU\" },\n { \"text\": \"Product\" },\n { \"text\": \"Qty\" },\n { \"text\": \"Unit Price\" },\n { \"text\": \"Line Total\" }\n ],\n \"rows\": \"{{ $json.line_items }}\"\n },\n { \"type\": \"separator\" },\n {\n \"type\": \"paragraph\",\n \"runs\": [{ \"text\": \"Order Total: {{ $json.currency }} {{ $json.po_total }}\", \"font_weight\": \"bold\" }]\n },\n { \"type\": \"paragraph\", \"runs\": [{ \"text\": \"Questions? Contact orders@meridian-mfg.com\" }] }\n ]\n}"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
750,
300
],
"id": "c2d3e4f5-a6b7-8901-2cde-f01234567890",
"name": "Generate Order Confirmation",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Extract Purchase Order",
"type": "main",
"index": 0
}
]
]
},
"Extract Purchase Order": {
"main": [
[
{
"node": "Generate Order Confirmation",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Extract purchase order data from the file at [file URL], then generate an order confirmation PDF. Use the extract_document tool with these fields:
- customer_name (TEXT): Name of the customer or buying company
- po_number (TEXT): Purchase order number
- po_date (DATE): Date the PO was issued
- requested_delivery_date (DATE): Requested delivery date
- billing_address (TEXT): Customer billing address
- shipping_address (TEXT): Delivery address
- line_items (ARRAY): Each with product_sku (TEXT), product_name (TEXT), quantity (INTEGER), unit_price (CURRENCY_AMOUNT), line_total (CURRENCY_AMOUNT)
- currency (CURRENCY_CODE): Order currency
- po_total (CURRENCY_AMOUNT): Total order value
Then use the generate_document tool to create a PDF order confirmation from the extracted values.
Response
{
"success": true,
"data": {
"buffer": "JVBERi0xLjQ...",
"mime_type": "application/pdf"
}
}
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같은 저장소의 스킬
Compress an image to fit within a specific file size in bytes using quality-first compression.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
iterationlayer/skills42026년 6월 9일 업데이트
Convert a contract PDF to clean markdown for clause extraction or LLM analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
iterationlayer/skills42026년 6월 9일 업데이트
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
iterationlayer/skills42026년 6월 9일 업데이트
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
iterationlayer/skills42026년 6월 9일 업데이트
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
iterationlayer/skills42026년 6월 9일 업데이트