RealSimple Solutions This workflow corresponds to n8n.io template #2893 — we link there as the canonical source.
This workflow follows the Agent → Ollama Chat recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "QyMyf3zraY0wxXDf",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Load Prompts from Github Repo and auto populate n8n expressions",
"tags": [],
"nodes": [
{
"id": "34781446-b06e-41eb-83b8-b96bda1a5595",
"name": "When clicking \u2018Test workflow\u2019",
"type": "n8n-nodes-base.manualTrigger",
"position": [
-80,
0
],
"parameters": {},
"typeVersion": 1
},
{
"id": "c53b7243-7c82-47e0-a5ee-bd82bc51c386",
"name": "GitHub",
"type": "n8n-nodes-base.github",
"position": [
600,
0
],
"parameters": {
"owner": {
"__rl": true,
"mode": "name",
"value": "={{ $json.Account }}"
},
"filePath": "={{ $json.path }}{{ $json.prompt }}",
"resource": "file",
"operation": "get",
"repository": {
"__rl": true,
"mode": "name",
"value": "={{ $json.repo }}"
},
"additionalParameters": {}
},
"credentials": {
"githubApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "9976b199-b744-47a7-9d75-4b831274c01b",
"name": "Extract from File",
"type": "n8n-nodes-base.extractFromFile",
"position": [
840,
0
],
"parameters": {
"options": {},
"operation": "text"
},
"typeVersion": 1
},
{
"id": "26aa4e6a-c487-4cdf-91d5-df660cf826a6",
"name": "setVars",
"type": "n8n-nodes-base.set",
"position": [
180,
0
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "150618c5-09b1-4f8b-a7b4-984662bf3381",
"name": "Account",
"type": "string",
"value": "TPGLLC-US"
},
{
"id": "22e8a3b0-bd53-485c-b971-7f1dd0686f0e",
"name": "repo",
"type": "string",
"value": "PeresPrompts"
},
{
"id": "ab94d0a1-ef3a-4fe9-9076-6882c6fda0ac",
"name": "path",
"type": "string",
"value": "SEO/"
},
{
"id": "66f122eb-1cbd-4769-aac8-3f05cdb6c116",
"name": "prompt",
"type": "string",
"value": "keyword_research.md"
},
{
"id": "03fe26a3-04e6-439c-abcb-d438fc5203c0",
"name": "company",
"type": "string",
"value": "South Nassau Physical Therapy"
},
{
"id": "c133d216-a457-4872-a060-0ba4d94549af",
"name": "product",
"type": "string",
"value": "Manual Therapy"
},
{
"id": "584864dd-2518-45e2-b501-02828757fc3a",
"name": "features",
"type": "string",
"value": "pain relief"
},
{
"id": "0c4594cc-302a-4215-bdad-12cf54f57967",
"name": "sector",
"type": "string",
"value": "physical therapy"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "9d92f581-8cd9-448c-aa1d-023a96c1ddda",
"name": "replace variables",
"type": "n8n-nodes-base.code",
"position": [
1900,
-20
],
"parameters": {
"jsCode": "// Fetch the prompt text\nconst prompt = $('SetPrompt').first().json.data; // Ensure the prompt contains placeholders like {{ some.node.value }}\n\n// Example variables object\nconst variables = {\n company: $('setVars').first().json.company,\n features: \"Awesome Software\",\n keyword: \"2025-02-07\"\n};\n\n// Function to replace placeholders dynamically\nconst replaceVariables = (text, vars) => {\n return text.replace(/{{(.*?)}}/g, (match, key) => {\n const trimmedKey = key.trim();\n \n // Extract last part after the last dot\n const finalKey = trimmedKey.split('.').pop();\n\n // Replace if key exists, otherwise leave placeholder unchanged\n return vars.hasOwnProperty(finalKey) ? vars[finalKey] : match;\n });\n};\n\n// Replace and return result\nreturn [{\n prompt: replaceVariables(prompt, variables)\n}];\n"
},
"typeVersion": 2
},
{
"id": "6c6c4fde-6ee5-47a8-894d-44d1afcedc2a",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
1560,
0
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "2717a7e5-095a-42bf-8b5b-8050c3389ec5",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.success }}",
"rightValue": "={{ $('Check All Prompt Vars Present').item.json.keys()}}"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "3b7712b8-5152-4f60-9401-03c89c39e227",
"name": "Check All Prompt Vars Present",
"type": "n8n-nodes-base.code",
"position": [
1280,
0
],
"parameters": {
"jsCode": "// Get prompt text\nconst prompt = $json.data;\n\n// Extract variables inside {{ }} dynamically\nconst matches = [...prompt.matchAll(/{{(.*?)}}/g)];\nconst uniqueVars = [...new Set(matches.map(match => match[1].trim().split('.').pop()))];\n\n// Get variables from the Set Node\nconst setNodeVariables = $node[\"setVars\"].json || {};\n\n// Log extracted variables and Set Node keys\nconsole.log(\"Extracted Variables:\", uniqueVars);\nconsole.log(\"Set Node Keys:\", Object.keys(setNodeVariables));\n\n// Check if all required variables are present in the Set Node\nconst missingKeys = uniqueVars.filter(varName => !setNodeVariables.hasOwnProperty(varName));\n\nconsole.log(\"Missing Keys:\", missingKeys);\n\n// Return false if any required variable is missing, otherwise return true\nreturn [{\n success: missingKeys.length === 0,\n missingKeys: missingKeys\n}];\n"
},
"typeVersion": 2
},
{
"id": "32618e10-3285-4c16-9e78-058dde329337",
"name": "SetPrompt",
"type": "n8n-nodes-base.set",
"position": [
1060,
0
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "335b450d-542a-4714-83d8-ccc237188fc5",
"name": "data",
"type": "string",
"value": "={{ $json.data }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "4d8b34ca-50dd-4f37-b4f7-542291461662",
"name": "Stop and Error",
"type": "n8n-nodes-base.stopAndError",
"position": [
1900,
200
],
"parameters": {
"errorMessage": "=Missing Prompt Variables : {{ $('Check All Prompt Vars Present').item.json.missingKeys }}\n"
},
"typeVersion": 1
},
{
"id": "a78c1e17-9152-4241-bcdf-c0d723da543b",
"name": "Set Completed Prompt",
"type": "n8n-nodes-base.set",
"position": [
2220,
-20
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "57a9625b-adea-4ee7-a72a-2be8db15f3d4",
"name": "Prompt",
"type": "string",
"value": "={{ $json.prompt }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "51447c90-a222-4172-a49b-86ec43332559",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
2440,
-20
],
"parameters": {
"text": "={{ $json.Prompt }}",
"options": {},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "f15b6af1-7af2-4515-be8f-960211118dce",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
60,
-120
],
"parameters": {
"width": 340,
"height": 260,
"content": "# Set The variables in your prompt here"
},
"typeVersion": 1
},
{
"id": "163db6cc-5b06-4ae6-ac97-5890b37cdb18",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
520,
-120
],
"parameters": {
"color": 5,
"content": "## The repo is currently public for you to test with"
},
"typeVersion": 1
},
{
"id": "83ff6a86-a759-42a9-ace4-e20d57b906db",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1780,
-200
],
"parameters": {
"width": 360,
"height": 260,
"content": "## Replaces the values in the prompt with the variables in the \n# 'setVars' Node"
},
"typeVersion": 1
},
{
"id": "7dd61153-84ac-4b59-b449-333825476c33",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
2000,
180
],
"parameters": {
"color": 3,
"content": "## If you're missing variables they will be listed here"
},
"typeVersion": 1
},
{
"id": "1f070dc3-3d25-41d8-b534-912ba7c8b2b0",
"name": "Prompt Output",
"type": "n8n-nodes-base.set",
"position": [
2800,
-20
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "01a30683-c348-4712-a3b1-739fc4a17718",
"name": "promptResponse",
"type": "string",
"value": "={{ $json.output }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "2d12a6e2-7976-41b0-8cb2-01466b28269d",
"name": "Ollama Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
"position": [
2480,
200
],
"parameters": {
"options": {}
},
"credentials": {
"ollamaApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "4327a337-59e7-4b5b-98e8-93c6be550972",
"connections": {
"If": {
"main": [
[
{
"node": "replace variables",
"type": "main",
"index": 0
}
],
[
{
"node": "Stop and Error",
"type": "main",
"index": 0
}
]
]
},
"GitHub": {
"main": [
[
{
"node": "Extract from File",
"type": "main",
"index": 0
}
]
]
},
"setVars": {
"main": [
[
{
"node": "GitHub",
"type": "main",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Prompt Output",
"type": "main",
"index": 0
}
]
]
},
"SetPrompt": {
"main": [
[
{
"node": "Check All Prompt Vars Present",
"type": "main",
"index": 0
}
]
]
},
"Extract from File": {
"main": [
[
{
"node": "SetPrompt",
"type": "main",
"index": 0
}
]
]
},
"Ollama Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"replace variables": {
"main": [
[
{
"node": "Set Completed Prompt",
"type": "main",
"index": 0
}
]
]
},
"Set Completed Prompt": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Check All Prompt Vars Present": {
"main": [
[
{
"node": "If",
"type": "main",
"index": 0
}
]
]
},
"When clicking \u2018Test workflow\u2019": {
"main": [
[
{
"node": "setVars",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
githubApiollamaApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This workflow is designed for AI engineers, automation specialists, and content creators who need a scalable system to dynamically manage prompts stored in GitHub. It eliminates manual updates, enforces required variable checks, and ensures that AI interactions always receive…
Source: https://n8n.io/workflows/2893/ — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
Load Prompts from Github Repo and auto populate n8n expressions. Uses manualTrigger, github, extractFromFile, stopAndError. Event-driven trigger; 17 nodes.
GitHub, Stop And Error, Agent +1
Load Prompts from Github Repo and auto populate n8n expressions. Uses manualTrigger, github, extractFromFile, stopAndError. Event-driven trigger; 17 nodes.
GitHub, Stop And Error, Agent +1
This n8n template demonstrates how to automatically process PDF purchase orders received via email and convert them into sales orders in Adobe Commerce (Magento 2) using Company Credit as the payment
HTTP Request, Form Trigger, Chat Trigger +5
How it Works
Memory Buffer Window, Agent, Output Parser Structured +9
Digital marketers, content creators, social media managers, and businesses who want to use AI marketing automation for YouTube Shorts without spending hours on production. This AI workflow helps anyon
OpenAI, HTTP Request, OpenAI Chat +7