Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
The English summary is being prepared. Showing the original description.
iterationlayer/skills4Updated Jun 9, 2026
FreePublished on GitHub
generate-multi-client-usage-report
Generate a multi-sheet XLSX report tracking API usage, credit consumption, and billing across multiple agency clients.
The English summary is being prepared. Showing the original description.
Works withn8n
See how to installFiles included (1)
- SKILL.md12.7 KB
SKILL.md (original)
Review the instructions the agent will receive before you install.
Generate a Multi-Client Usage Report
Agencies reselling API services to multiple clients use this recipe to generate consolidated monthly usage reports — with one sheet per client showing credit consumption, request counts, and billing totals.
APIs Used
Sheet 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
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",
"sheets": [
{
"name": "Summary",
"columns": [
{
"name": "Client",
"width": 25
},
{
"name": "Plan",
"width": 15
},
{
"name": "Credits Used",
"width": 15
},
{
"name": "Credits Remaining",
"width": 18
},
{
"name": "Requests",
"width": 12
},
{
"name": "Amount Billed",
"width": 16
}
],
"rows": [
[
"Greenfield Organics",
"Professional",
4200,
800,
312,
{
"value": 420.00,
"format": "currency",
"currency_code": "EUR"
}
],
[
"Atlas Logistics",
"Enterprise",
12800,
7200,
891,
{
"value": 1280.00,
"format": "currency",
"currency_code": "EUR"
}
],
[
"Bright Pixel Studios",
"Starter",
850,
150,
64,
{
"value": 85.00,
"format": "currency",
"currency_code": "EUR"
}
]
]
},
{
"name": "Greenfield Organics",
"columns": [
{
"name": "Date",
"width": 14
},
{
"name": "API",
"width": 22
},
{
"name": "Requests",
"width": 12
},
{
"name": "Credits",
"width": 12
},
{
"name": "Status",
"width": 12
}
],
"rows": [
[
{
"value": "2026-03-01",
"format": "date"
},
"Document Extraction",
45,
540,
"Success"
],
[
{
"value": "2026-03-08",
"format": "date"
},
"Document Generation",
28,
336,
"Success"
],
[
{
"value": "2026-03-15",
"format": "date"
},
"Image Generation",
120,
1440,
"Success"
],
[
{
"value": "2026-03-22",
"format": "date"
},
"Document Extraction",
62,
744,
"Success"
],
[
{
"value": "2026-03-29",
"format": "date"
},
"Image Transformation",
57,
1140,
"Success"
]
]
},
{
"name": "Atlas Logistics",
"columns": [
{
"name": "Date",
"width": 14
},
{
"name": "API",
"width": 22
},
{
"name": "Requests",
"width": 12
},
{
"name": "Credits",
"width": 12
},
{
"name": "Status",
"width": 12
}
],
"rows": [
[
{
"value": "2026-03-03",
"format": "date"
},
"Document Extraction",
340,
4080,
"Success"
],
[
{
"value": "2026-03-10",
"format": "date"
},
"Sheet Generation",
180,
2160,
"Success"
],
[
{
"value": "2026-03-17",
"format": "date"
},
"Document to Markdown",
210,
2520,
"Success"
],
[
{
"value": "2026-03-24",
"format": "date"
},
"Document Extraction",
161,
1932,
"Success"
],
[
{
"value": "2026-03-31",
"format": "date"
},
"Document Generation",
0,
0,
"No requests"
]
]
}
]
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const report = await client.generateSheet({
format: "xlsx",
sheets: [
{
name: "Summary",
columns: [
{ name: "Client", width: 25 }, { name: "Plan", width: 15 }, { name: "Credits Used", width: 15 },
{ name: "Credits Remaining", width: 18 }, { name: "Requests", width: 12 }, { name: "Amount Billed", width: 16 },
],
rows: [
["Greenfield Organics", "Professional", 4200, 800, 312, { value: 420.00, format: "currency", currency_code: "EUR" }],
["Atlas Logistics", "Enterprise", 12800, 7200, 891, { value: 1280.00, format: "currency", currency_code: "EUR" }],
["Bright Pixel Studios", "Starter", 850, 150, 64, { value: 85.00, format: "currency", currency_code: "EUR" }],
],
},
{
name: "Greenfield Organics",
columns: [
{ name: "Date", width: 14 }, { name: "API", width: 22 }, { name: "Requests", width: 12 },
{ name: "Credits", width: 12 }, { name: "Status", width: 12 },
],
rows: [
[{ value: "2026-03-01", format: "date" }, "Document Extraction", 45, 540, "Success"],
[{ value: "2026-03-08", format: "date" }, "Document Generation", 28, 336, "Success"],
[{ value: "2026-03-15", format: "date" }, "Image Generation", 120, 1440, "Success"],
],
},
],
});
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
report = client.generate_sheet(
format="xlsx",
sheets=[
{
"name": "Summary",
"columns": [
{"name": "Client", "width": 25}, {"name": "Plan", "width": 15}, {"name": "Credits Used", "width": 15},
{"name": "Credits Remaining", "width": 18}, {"name": "Requests", "width": 12}, {"name": "Amount Billed", "width": 16},
],
"rows": [
["Greenfield Organics", "Professional", 4200, 800, 312, {"value": 420.00, "format": "currency", "currency_code": "EUR"}],
["Atlas Logistics", "Enterprise", 12800, 7200, 891, {"value": 1280.00, "format": "currency", "currency_code": "EUR"}],
["Bright Pixel Studios", "Starter", 850, 150, 64, {"value": 85.00, "format": "currency", "currency_code": "EUR"}],
],
},
{
"name": "Greenfield Organics",
"columns": [{"name": "Date", "width": 14}, {"name": "API", "width": 22}, {"name": "Requests", "width": 12}, {"name": "Credits", "width": 12}, {"name": "Status", "width": 12}],
"rows": [
[{"value": "2026-03-01", "format": "date"}, "Document Extraction", 45, 540, "Success"],
[{"value": "2026-03-08", "format": "date"}, "Document Generation", 28, 336, "Success"],
],
},
],
)
package main
import il "github.com/iterationlayer/sdk-go"
func main() {
client := il.NewClient("YOUR_API_KEY")
_, err := client.GenerateSheet(il.GenerateSheetRequest{
Format: "xlsx",
Sheets: []il.Sheet{
{
Name: "Summary",
Columns: []il.SheetColumn{
{Name: "Client", Width: 25}, {Name: "Plan", Width: 15}, {Name: "Credits Used", Width: 15},
{Name: "Credits Remaining", Width: 18}, {Name: "Requests", Width: 12}, {Name: "Amount Billed", Width: 16},
},
Rows: [][]il.SheetCell{
{{Value: "Greenfield Organics"}, {Value: "Professional"}, {Value: 4200}, {Value: 800}, {Value: 312}, {Value: 420.00, Format: "currency", CurrencyCode: "EUR"}},
{{Value: "Atlas Logistics"}, {Value: "Enterprise"}, {Value: 12800}, {Value: 7200}, {Value: 891}, {Value: 1280.00, Format: "currency", CurrencyCode: "EUR"}},
},
},
},
})
if err != nil {
panic(err)
}
}
{
"name": "Generate multi-client usage report in Iteration Layer",
"nodes": [
{
"parameters": {
"content": "## Generate a Multi-Client Usage Report\n\nAgencies reselling API services to multiple clients use this recipe to generate consolidated monthly usage reports — with one sheet per client.\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": "e7f8a9b0-c1d2-3456-efab-456789012301",
"name": "Overview"
},
{
"parameters": {
"content": "### Step 1: Generate Report\nResource: **Sheet Generation**\n\nConfigure 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": "e7f8a9b0-c1d2-3456-efab-456789012302",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [250, 300],
"id": "e7f8a9b0-c1d2-3456-efab-456789012303",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "sheetGeneration",
"format": "xlsx",
"sheetsJson": "[{\"name\":\"Summary\",\"columns\":[{\"name\":\"Client\",\"width\":25},{\"name\":\"Plan\",\"width\":15},{\"name\":\"Credits Used\",\"width\":15},{\"name\":\"Credits Remaining\",\"width\":18},{\"name\":\"Requests\",\"width\":12},{\"name\":\"Amount Billed\",\"width\":16}],\"rows\":[[\"Greenfield Organics\",\"Professional\",4200,800,312,{\"value\":420.00,\"format\":\"currency\",\"currency_code\":\"EUR\"}],[\"Atlas Logistics\",\"Enterprise\",12800,7200,891,{\"value\":1280.00,\"format\":\"currency\",\"currency_code\":\"EUR\"}]]}]"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [500, 300],
"id": "e7f8a9b0-c1d2-3456-efab-456789012304",
"name": "Generate Usage Report",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Generate Usage Report",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Generate a multi-client usage report for [month/year]. Use the generate_sheet tool to create an XLSX workbook with:
- A "Summary" sheet with columns: Client, Plan, Credits Used, Credits Remaining, Requests, Amount Billed — one row per client
- One detail sheet per client with columns: Date, API, Requests, Credits, Status — showing weekly usage breakdowns
Include realistic data for [number of clients] clients with varied plan tiers.
Response
{
"success": true,
"data": {
"buffer": "UEsDBBQAAAA...",
"mime_type": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
}
}
Links
Reviews
No reviews yet. Tell others what you thought.
Comments
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
More skills from this repository
Compress an image to fit within a specific file size in bytes using quality-first compression.
The English summary is being prepared. Showing the original description.
iterationlayer/skills4Updated Jun 9, 2026
Convert a contract PDF to clean markdown for clause extraction or LLM analysis.
The English summary is being prepared. Showing the original description.
iterationlayer/skills4Updated Jun 9, 2026
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
The English summary is being prepared. Showing the original description.
iterationlayer/skills4Updated Jun 9, 2026
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
The English summary is being prepared. Showing the original description.
iterationlayer/skills4Updated Jun 9, 2026
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
The English summary is being prepared. Showing the original description.
iterationlayer/skills4Updated Jun 9, 2026