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Load Prompts from GitHub and Populate n8n Expressions

Original n8n title: Load Prompts From Github Repo and Auto Populate N8n Expressions (github)

Load Prompts from Github Repo and auto populate n8n expressions. Uses manualTrigger, github, extractFromFile, stopAndError. Event-driven trigger; 17 nodes.

Event trigger★★★★☆ complexityAI-powered17 nodesGitHubStop And ErrorAgentOllama Chat
AI & RAG Trigger: Event Nodes: 17 Complexity: ★★★★☆ AI nodes: yes Added:

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 →

Download .json
{
  "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

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How this works

This workflow enables AI developers and automation enthusiasts to effortlessly load custom prompts from a GitHub repository directly into n8n expressions, ensuring your AI agents always use the latest versions without manual copying. It streamlines prompt management for complex workflows involving tools like Ollama's LM Chat, reducing errors from outdated or mismatched prompts and saving hours of tedious updates. The key step involves extracting prompt content from repository files via the GitHub integration, followed by variable replacement and validation to populate expressions seamlessly.

Use this workflow when maintaining a shared GitHub repo of prompts for team-based AI projects or when prompts evolve frequently, such as in iterative chatbot development. Avoid it for static, one-off prompts that don't change, or if your setup lacks GitHub access for security reasons. Common variations include adapting the extraction node for private repos or integrating with other version control systems like GitLab for broader compatibility.

About this workflow

Load Prompts from Github Repo and auto populate n8n expressions. Uses manualTrigger, github, extractFromFile, stopAndError. Event-driven trigger; 17 nodes.

Source: https://github.com/Zie619/n8n-workflows — original creator credit. Request a take-down →

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