Resize, sharpen, and compress an image to fit email platform size limits in a single pipeline.
中文简介正在准备中。当前显示原文说明。
iterationlayer/skills42026年6月9日 更新
免费在 GitHub 公开
generate-multi-client-usage-report
Generate a multi-sheet XLSX report tracking API usage, credit consumption, and billing across multiple agency clients.
中文简介正在准备中。当前显示原文说明。
集成工具n8n
查看安装方法包含的文件（1）
- SKILL.md12.7 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
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
评价
还没有评价。欢迎分享你的使用感受。
评论
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
同一仓库的技能
Compress an image to fit within a specific file size in bytes using quality-first compression.
中文简介正在准备中。当前显示原文说明。
iterationlayer/skills42026年6月9日 更新
Convert a contract PDF to clean markdown for clause extraction or LLM analysis.
中文简介正在准备中。当前显示原文说明。
iterationlayer/skills42026年6月9日 更新
Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
中文简介正在准备中。当前显示原文说明。
iterationlayer/skills42026年6月9日 更新
Convert a document to clean markdown suitable for chunking and embedding in a RAG pipeline.
中文简介正在准备中。当前显示原文说明。
iterationlayer/skills42026年6月9日 更新
Convert an image between PNG, JPEG, and WebP formats with quality control for web optimization.
中文简介正在准备中。当前显示原文说明。
iterationlayer/skills42026年6月9日 更新