Convert external documents — specs, contracts, reports — to markdown for knowledge base ingestion.
How this skill is triggered — by the user, by Claude, or both
Slash command
/spreadsheet-generation:convert-document-for-knowledge-baseThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Teams maintaining internal wikis or knowledge bases use this recipe to ingest external documents — vendor specs, partner contracts, agency reports — as clean, searchable markdown.
Teams maintaining internal wikis or knowledge bases use this recipe to ingest external documents — vendor specs, partner contracts, agency reports — as clean, searchable markdown.
Document to Markdown (1 credit per page)
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/document-to-markdown/v1/convert \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"file": {
"type": "url",
"name": "vendor-specification.pdf",
"url": "https://example.com/specs/integration-spec-v2.pdf"
}
}'
import { IterationLayer } from "iterationlayer";
const client = new IterationLayer({ apiKey: "YOUR_API_KEY" });
const result = await client.convertDocumentToMarkdown({
file: {
type: "url",
name: "vendor-specification.pdf",
url: "https://example.com/specs/integration-spec-v2.pdf",
},
});
// result.markdown — clean markdown for the knowledge base
// result.description — present for image files, useful as search text
from iterationlayer import IterationLayer
client = IterationLayer(api_key="YOUR_API_KEY")
result = client.convert_document_to_markdown(
file={
"type": "url",
"name": "vendor-specification.pdf",
"url": "https://example.com/specs/integration-spec-v2.pdf",
}
)
# result["markdown"] — clean markdown for the knowledge base
# result["description"] — present for image files, useful as search text
import il "github.com/iterationlayer/sdk-go"
client := il.NewClient("YOUR_API_KEY")
result, err := client.ConvertDocumentToMarkdown(il.ConvertDocumentToMarkdownRequest{
File: il.FileInput{Type: "url", Name: "vendor-specification.pdf", Url: "https://example.com/specs/integration-spec-v2.pdf"},
})
// result.Markdown — clean markdown for the knowledge base
// result.Description — present for image files, useful as search text
{
"name": "Convert Document for Knowledge Base",
"nodes": [
{
"parameters": {
"content": "## Convert Document for Knowledge Base\n\nTeams maintaining internal wikis or knowledge bases use this recipe to ingest external documents \u2014 vendor specs, partner contracts, agency reports \u2014 as clean, searchable markdown.\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": "832c161e-a365-4f7a-aa17-9a2b0295c064",
"name": "Overview"
},
{
"parameters": {
"content": "### Step 1: Convert Document to Markdown\nResource: **Document to Markdown**\n\nConfigure the Document to Markdown parameters below, then connect your credentials.",
"height": 160,
"width": 300,
"color": 6
},
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
475,
100
],
"id": "dd9efc52-69bc-43d4-91dc-e31e6ae6c616",
"name": "Step 1 Note"
},
{
"parameters": {},
"type": "n8n-nodes-base.manualTrigger",
"typeVersion": 1,
"position": [
250,
300
],
"id": "c8a021cd-506e-4768-b4cf-7157115f1cc1",
"name": "Manual Trigger"
},
{
"parameters": {
"resource": "documentToMarkdown",
"fileInputMode": "url",
"fileName": "vendor-specification.pdf",
"fileUrl": "https://example.com/specs/integration-spec-v2.pdf"
},
"type": "n8n-nodes-iterationlayer.iterationLayer",
"typeVersion": 1,
"position": [
500,
300
],
"id": "9660e834-f20b-4074-9f83-33a774e23cce",
"name": "Convert Document to Markdown",
"credentials": {
"iterationLayerApi": {
"id": "1",
"name": "Iteration Layer API"
}
}
}
],
"connections": {
"Manual Trigger": {
"main": [
[
{
"node": "Convert Document to Markdown",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Convert the document at [file URL] to markdown for knowledge base ingestion. Use the convert_document_to_markdown tool with the file URL.
{
"success": true,
"data": {
"name": "vendor-specification.pdf",
"mime_type": "application/pdf",
"markdown": "# Integration Specification v2\n\n## Overview\n\nThis document describes the integration protocol between the Acme Payments gateway and partner systems. All communication uses TLS 1.3 over HTTPS.\n\n## Authentication\n\nPartner systems authenticate using mutual TLS (mTLS). Each partner is issued a client certificate signed by the Acme CA.\n\n| Field | Value |\n|---|---|\n| Certificate Authority | Acme Payments Root CA |\n| Key Algorithm | ECDSA P-256 |\n| Certificate Lifetime | 365 days |\n| Renewal Window | 30 days before expiry |\n\n## Webhook Events\n\nThe gateway sends webhook events for the following state transitions:\n\n- **payment.created** — a new payment has been initiated\n- **payment.authorized** — the payment has been authorized by the issuer\n- **payment.captured** — funds have been captured\n- **payment.failed** — the payment attempt failed\n- **payment.refunded** — a refund has been processed\n\n## Rate Limits\n\n| Endpoint | Limit |\n|---|---|\n| POST /payments | 100 req/s |\n| GET /payments/:id | 500 req/s |\n| POST /refunds | 50 req/s |"
}
}
Searches MemPalace before answering questions about past work, people, projects, or prior decisions. Returns verbatim stored content instead of guessing from model memory.
Guides Payload CMS config (payload.config.ts), collections, fields, hooks, access control, APIs. Debugs validation errors, security, relationships, queries, transactions, hook behavior.
Implements vector databases with Pinecone, Weaviate, Qdrant, Milvus, pgvector for semantic search, RAG, recommendations, and similarity systems. Optimizes embeddings, indexing, and hybrid search.
npx claudepluginhub iterationlayer/skills --plugin spreadsheet-generation