Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generate an XLSX employee report with departments, salaries, hire dates, and currency formatting.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
HR departments and people operations teams use this recipe to generate employee roster reports for headcount reviews, compensation analysis, or compliance audits. Each row captures key employee details with properly formatted salary and date columns.
Sheet Generation (1 credits/request)
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.
curl -X POST https://api.iterationlayer.com/sheet-generation/v1/generate \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"format": "xlsx",
"styles": {
"header": {
"font_family": "Helvetica",
"font_size_in_pt": 11,
"is_bold": true,
"background_color": "#1F4E79",
"font_color": "#FFFFFF"
},
"body": {
"font_family": "Helvetica",
"font_size_in_pt": 11,
"font_color": "#333333"
}
},
"sheets": [
{
"name": "Employee Roster",
"columns": [
{
"name": "Employee ID",
"width": 14,
},
{
"name": "Full Name",
"width": 22,
},
{
"name": "Department",
"width": 18,
},
{
"name": "Title",
"width": 28,
},
{
"name": "Hire Date",
"width": 14,
},
{
"name": "Annual Salary",
"width": 16,
},
{
"name": "Location",
"width": 18,
}
],
"rows": [
[
{
"value": "EMP-1042",
},
{
"value": "Sarah Mitchell",
},
{
"value": "Engineering",
},
{
"value": "Senior Software Engineer",
},
{
"value": "2022-06-15",
"format": "date",
},
{
"value": 142000,
"format": "currency",
},
{
"value": "Berlin, DE",
}
],
[
{
"value": "EMP-1078",
},
{
"value": "David Nakamura",
},
{
"value": "Product",
},
{
"value": "Product Manager",
},
{
"value": "2023-01-09",
"format": "date",
},
{
"value": 128000,
"format": "currency",
},
{
"value": "Amsterdam, NL",
}
],
[
{
"value": "EMP-1103",
},
{
"value": "Amara Osei",
},
{
"value": "Design",
},
{
"value": "Lead UX Designer",
},
{
"value": "2023-04-22",
"format": "date",
},
{
"value": 121000,
"format": "currency",
},
{
"value": "Austin, TX",
}
],
[
{
"value": "EMP-1156",
},
{
"value": "Carlos Reyes",
},
{
"value": "Engineering",
},
{
"value": "DevOps Engineer",
},
{
"value": "2024-02-12",
"format": "date",
},
{
"value": 135000,
"format": "currency",
},
{
"value": "Denver, CO",
}
],
[
{
"value": "EMP-1189",
},
{
"value": "Lin Wei",
},
{
"value": "Marketing",
},
{
"value": "Growth Marketing Lead",
},
{
"value": "2024-08-05",
"format": "date",
},
{
"value": 115000,
"format": "currency",
},
{
"value": "Chicago, IL",
}
],
[
{
"value": "EMP-1201",
},
{
"value": "Rachel Andersen",
},
{
"value": "Finance",
},
{
"value": "Financial Analyst",
},
{
"value": "2025-01-13",
"format": "date",
},
{
"value": 98000,
"format": "currency",
},
{
"value": "Berlin, DE",
}
]
]
}
]
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({
apiKey: "YOUR_API_KEY",
});
const result = await client.generateSheet({
format: "xlsx",
styles: {
header: {
font_family: "Helvetica",
font_size_in_pt: 11,
is_bold: true,
background_color: "#1F4E79",
font_color: "#FFFFFF",
},
body: {
font_family: "Helvetica",
font_size_in_pt: 11,
font_color: "#333333",
},
},
sheets: [
{
name: "Employee Roster",
columns: [
{
name: "Employee ID",
width: 14,
},
{
name: "Full Name",
width: 22,
},
{
name: "Department",
width: 18,
},
{
name: "Title",
width: 28,
},
{
name: "Hire Date",
width: 14,
},
{
name: "Annual Salary",
width: 16,
},
{
name: "Location",
width: 18,
},
],
rows: [
[
{
value: "EMP-1042",
},
{
value: "Sarah Mitchell",
},
{
value: "Engineering",
},
{
value: "Senior Software Engineer",
},
{
value: "2022-06-15",
format: "date",
},
{
value: 142000,
format: "currency",
},
{
value: "Berlin, DE",
},
],
[
{
value: "EMP-1078",
},
{
value: "David Nakamura",
},
{
value: "Product",
},
{
value: "Product Manager",
},
{
value: "2023-01-09",
format: "date",
},
{
value: 128000,
format: "currency",
},
{
value: "Amsterdam, NL",
},
],
[
{
value: "EMP-1103",
},
{
value: "Amara Osei",
},
{
value: "Design",
},
{
value: "Lead UX Designer",
},
{
value: "2023-04-22",
format: "date",
},
{
value: 121000,
format: "currency",
},
{
value: "Austin, TX",
},
],
[
{
value: "EMP-1156",
},
{
value: "Carlos Reyes",
},
{
value: "Engineering",
},
{
value: "DevOps Engineer",
},
{
value: "2024-02-12",
format: "date",
},
{
value: 135000,
format: "currency",
},
{
value: "Denver, CO",
},
],
[
{
value: "EMP-1189",
},
{
value: "Lin Wei",
},
{
value: "Marketing",
},
{
value: "Growth Marketing Lead",
},
{
value: "2024-08-05",
format: "date",
},
{
value: 115000,
format: "currency",
},
{
value: "Chicago, IL",
},
],
[
{
value: "EMP-1201",
},
{
value: "Rachel Andersen",
},
{
value: "Finance",
},
{
value: "Financial Analyst",
},
{
value: "2025-01-13",
format: "date",
},
{
value: 98000,
format: "currency",
},
{
value: "Berlin, DE",
},
],
],
},
],
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.generate_sheet(
format="xlsx",
styles={
"header": {
"font_family": "Helvetica",
"font_size_in_pt": 11,
"is_bold": True,
"background_color": "#1F4E79",
"font_color": "#FFFFFF",
},
"body": {
"font_family": "Helvetica",
"font_size_in_pt": 11,
"font_color": "#333333",
},
},
sheets=[
{
"name": "Employee Roster",
"columns": [
{
"name": "Employee ID",
"width": 14,
},
{
"name": "Full Name",
"width": 22,
},
{
"name": "Department",
"width": 18,
},
{
"name": "Title",
"width": 28,
},
{
"name": "Hire Date",
"width": 14,
},
{
"name": "Annual Salary",
"width": 16,
},
{
"name": "Location",
"width": 18,
},
],
"rows": [
[
{
"value": "EMP-1042",
},
{
"value": "Sarah Mitchell",
},
{
"value": "Engineering",
},
{
"value": "Senior Software Engineer",
},
{
"value": "2022-06-15",
"format": "date",
},
{
"value": 142000,
"format": "currency",
},
{
"value": "Berlin, DE",
},
],
[
{
"value": "EMP-1078",
},
{
"value": "David Nakamura",
},
{
"value": "Product",
},
{
"value": "Product Manager",
},
{
"value": "2023-01-09",
"format": "date",
},
{
"value": 128000,
"format": "currency",
},
{
"value": "Amsterdam, NL",
},
],
[
{
"value": "EMP-1103",
},
{
"value": "Amara Osei",
},
{
"value": "Design",
},
{
"value": "Lead UX Designer",
},
{
"value": "2023-04-22",
"format": "date",
},
{
"value": 121000,
"format": "currency",
},
{
"value": "Austin, TX",
},
],
[
{
"value": "EMP-1156",
},
{
"value": "Carlos Reyes",
},
{
"value": "Engineering",
},
{
"value": "DevOps Engineer",
},
{
"value": "2024-02-12",
"format": "date",
},
{
"value": 135000,
"format": "currency",
},
{
"value": "Denver, CO",
},
],
[
{
"value": "EMP-1189",
},
{
"value": "Lin Wei",
},
{
"value": "Marketing",
},
{
"value": "Growth Marketing Lead",
},
{
"value": "2024-08-05",
"format": "date",
},
{
"value": 115000,
"format": "currency",
},
{
"value": "Chicago, IL",
},
],
[
{
"value": "EMP-1201",
},
{
"value": "Rachel Andersen",
},
{
"value": "Finance",
},
{
"value": "Financial Analyst",
},
{
"value": "2025-01-13",
"format": "date",
},
{
"value": 98000,
"format": "currency",
},
{
"value": "Berlin, DE",
},
],
],
}
],
)
package main
import il "github.com/iterationlayer/sdk-go"
func main() {
client := il.NewClient("YOUR_API_KEY")
result, err := client.GenerateSheet(il.GenerateSheetRequest{
Format: "xlsx",
Styles: &il.SheetStyles{
Header: &il.CellStyle{
FontFamily: "Helvetica",
FontSizeInPt: 11,
IsBold: true,
BackgroundColor: "#1F4E79",
FontColor: "#FFFFFF",
},
Body: &il.CellStyle{
FontFamily: "Helvetica",
FontSizeInPt: 11,
FontColor: "#333333",
},
},
Sheets: []il.Sheet{
{
Name: "Employee Roster",
Columns: []il.SheetColumn{
{
Name: "Employee ID",
Width: 14,
},
{
Name: "Full Name",
Width: 22,
},
{
Name: "Department",
Width: 18,
},
{
Name: "Title",
Width: 28,
},
{
Name: "Hire Date",
Width: 14,
},
{
Name: "Annual Salary",
Width: 16,
},
{
Name: "Location",
Width: 18,
},
},
Rows: []il.SheetRow{
{
{
Value: "EMP-1042",
},
{
Value: "Sarah Mitchell",
},
{
Value: "Engineering",
},
{
Value: "Senior Software Engineer",
},
{
Value: "2022-06-15",
Format: "date",
},
{
Value: 142000,
Format: "currency",
},
{
Value: "Berlin, DE",
},
},
{
{
Value: "EMP-1078",
},
{
Value: "David Nakamura",
},
{
Value: "Product",
},
{
Value: "Product Manager",
},
{
Value: "2023-01-09",
Format: "date",
},
{
Value: 128000,
Format: "currency",
},
{
Value: "Amsterdam, NL",
},
},
{
{
Value: "EMP-1103",
},
{
Value: "Amara Osei",
},
{
Value: "Design",
},
{
Value: "Lead UX Designer",
},
{
Value: "2023-04-22",
Format: "date",
},
{
Value: 121000,
Format: "currency",
},
{
Value: "Austin, TX",
},
},
{
{
Value: "EMP-1156",
},
{
Value: "Carlos Reyes",
},
{
Value: "Engineering",
},
{
Value: "DevOps Engineer",
},
{
Value: "2024-02-12",
Format: "date",
},
{
Value: 135000,
Format: "currency",
},
{
Value: "Denver, CO",
},
},
{
{
Value: "EMP-1189",
},
{
Value: "Lin Wei",
},
{
Value: "Marketing",
},
{
Value: "Growth Marketing Lead",
},
{
Value: "2024-08-05",
Format: "date",
},
{
Value: 115000,
Format: "currency",
},
{
Value: "Chicago, IL",
},
},
{
{
Value: "EMP-1201",
},
{
Value: "Rachel Andersen",
},
{
Value: "Finance",
},
{
Value: "Financial Analyst",
},
{
Value: "2025-01-13",
Format: "date",
},
{
Value: 98000,
Format: "currency",
},
{
Value: "Berlin, DE",
},
},
},
},
},
})
if err != nil {
panic(err)
}
_ = result
}
{
"name": "Generate Employee Report",
"nodes": [
{
"parameters": {
"content": "## Generate Employee Report
HR departments and people operations teams use this recipe to generate employee roster reports for headcount reviews, compensation analysis, or compliance audits. Each row captures key employee details with properly formatted salary and date columns.
**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": "464e3509-1d90-4d31-8856-fbacfeab16c4",
"name": "Overview"
},
{
"parameters": {
"content": "### Step 1: Generate Spreadsheet
Resource: **Sheet Generation**
Configure the Sheet Generation parameters below, then connect your credentials.",
"height": 160,
"width": 300,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
475,
100
],
"id": "b30cb5ff-3e27-41d6-8ece-620e1b2a8a02",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "3047e092-4aae-416f-abf4-43bf223b5703",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "sheetGeneration",
"sheetFormat": "xlsx",
"sheetsJson": "[
{
\"name\": \"Employee Roster\",
\"columns\": [
{
\"name\": \"Employee ID\",
\"width\": 14
},
{
\"name\": \"Full Name\",
\"width\": 22
},
{
\"name\": \"Department\",
\"width\": 18
},
{
\"name\": \"Title\",
\"width\": 28
},
{
\"name\": \"Hire Date\",
\"width\": 14
},
{
\"name\": \"Annual Salary\",
\"width\": 16
},
{
\"name\": \"Location\",
\"width\": 18
}
],
\"rows\": [
[
{
\"value\": \"EMP-1042\"
},
{
\"value\": \"Sarah Mitchell\"
},
{
\"value\": \"Engineering\"
},
{
\"value\": \"Senior Software Engineer\"
},
{
\"value\": \"2022-06-15\",
\"format\": \"date\"
},
{
\"value\": 142000,
\"format\": \"currency\"
},
{
\"value\": \"Berlin, DE\"
}
],
[
{
\"value\": \"EMP-1078\"
},
{
\"value\": \"David Nakamura\"
},
{
\"value\": \"Product\"
},
{
\"value\": \"Product Manager\"
},
{
\"value\": \"2023-01-09\",
\"format\": \"date\"
},
{
\"value\": 128000,
\"format\": \"currency\"
},
{
\"value\": \"Amsterdam, NL\"
}
],
[
{
\"value\": \"EMP-1103\"
},
{
\"value\": \"Amara Osei\"
},
{
\"value\": \"Design\"
},
{
\"value\": \"Lead UX Designer\"
},
{
\"value\": \"2023-04-22\",
\"format\": \"date\"
},
{
\"value\": 121000,
\"format\": \"currency\"
},
{
\"value\": \"Austin, TX\"
}
],
[
{
\"value\": \"EMP-1156\"
},
{
\"value\": \"Carlos Reyes\"
},
{
\"value\": \"Engineering\"
},
{
\"value\": \"DevOps Engineer\"
},
{
\"value\": \"2024-02-12\",
\"format\": \"date\"
},
{
\"value\": 135000,
\"format\": \"currency\"
},
{
\"value\": \"Denver, CO\"
}
],
[
{
\"value\": \"EMP-1189\"
},
{
\"value\": \"Lin Wei\"
},
{
\"value\": \"Marketing\"
},
{
\"value\": \"Growth Marketing Lead\"
},
{
\"value\": \"2024-08-05\",
\"format\": \"date\"
},
{
\"value\": 115000,
\"format\": \"currency\"
},
{
\"value\": \"Chicago, IL\"
}
],
[
{
\"value\": \"EMP-1201\"
},
{
\"value\": \"Rachel Andersen\"
},
{
\"value\": \"Finance\"
},
{
\"value\": \"Financial Analyst\"
},
{
\"value\": \"2025-01-13\",
\"format\": \"date\"
},
{
\"value\": 98000,
\"format\": \"currency\"
},
{
\"value\": \"Berlin, DE\"
}
]
]
}
]",
"sheetStylesJson": "{
\"header\": {
\"font_family\": \"Helvetica\",
\"font_size_in_pt\": 11,
\"is_bold\": true,
\"background_color\": \"#1F4E79\",
\"font_color\": \"#FFFFFF\"
},
\"body\": {
\"font_family\": \"Helvetica\",
\"font_size_in_pt\": 11,
\"font_color\": \"#333333\"
}
}"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "033ed035-a051-466d-bb7e-ee2242219b14",
"name": "Generate Spreadsheet",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Generate Spreadsheet",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Generate an XLSX employee report. Use the generate_sheet tool with format "xlsx" and these columns:
- Employee ID (text)
- Name (text)
- Department (text)
- Title (text)
- Hire Date (date)
- Salary (currency)
- Status (text)
Include styled headers and one row per employee with formatted salary and date values.
{
"success": true,
"data": {
"buffer": "UEsDBBQAAAAIAA...",
"mime_type": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
}
}
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Compress an image to fit within a specific file size in bytes using quality-first compression.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert a contract PDF to clean markdown for clause extraction or LLM analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.