Ayaka Sato This workflow corresponds to n8n.io template #15251 — we link there as the canonical source.
This workflow follows the GitHub → HTTP Request recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
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{
"id": "h5gumj6V5XNoMdBI",
"name": "Triage GitHub Issues with AI Category and Embedding-Based Duplicate Detection",
"tags": [],
"nodes": [
{
"id": "745894c9-1ce4-4b32-8020-b8b961f09f12",
"name": "GitHub Issue Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
80,
368
],
"parameters": {
"path": "github-issue-triage",
"options": {},
"httpMethod": "POST"
},
"typeVersion": 2
},
{
"id": "b01b74ef-9385-4aa7-a608-ddfbf0e59ad8",
"name": "Set Configuration",
"type": "n8n-nodes-base.set",
"position": [
288,
368
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "cfg-1",
"name": "github_owner",
"type": "string",
"value": "YOUR_GITHUB_OWNER"
},
{
"id": "cfg-2",
"name": "github_repo",
"type": "string",
"value": "YOUR_REPO_NAME"
},
{
"id": "cfg-3",
"name": "duplicate_threshold",
"type": "number",
"value": 0.85
},
{
"id": "cfg-4",
"name": "roadmap_sheet_id",
"type": "string",
"value": "REPLACE_WITH_SHEET_ID"
},
{
"id": "cfg-5",
"name": "roadmap_sheet_name",
"type": "string",
"value": "feature_roadmap"
},
{
"id": "cfg-6",
"name": "dev_slack_channel",
"type": "string",
"value": "#dev-alerts"
},
{
"id": "cfg-7",
"name": "faq_url",
"type": "string",
"value": "https://your-docs.example.com/faq"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "186a9537-2b0a-4447-8b8e-42ca794e8308",
"name": "Only On Issue Opened",
"type": "n8n-nodes-base.if",
"position": [
480,
368
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "f-1",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('GitHub Issue Webhook').item.json.body.action }}",
"rightValue": "opened"
}
]
}
},
"typeVersion": 2
},
{
"id": "20c02959-8b7d-4d80-a480-f30359e8c949",
"name": "Extract Issue Info",
"type": "n8n-nodes-base.set",
"position": [
704,
368
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "ex-1",
"name": "issue_number",
"type": "number",
"value": "={{ $('GitHub Issue Webhook').item.json.body.issue.number }}"
},
{
"id": "ex-2",
"name": "issue_title",
"type": "string",
"value": "={{ $('GitHub Issue Webhook').item.json.body.issue.title }}"
},
{
"id": "ex-3",
"name": "issue_body",
"type": "string",
"value": "={{ $('GitHub Issue Webhook').item.json.body.issue.body || '' }}"
},
{
"id": "ex-4",
"name": "issue_html_url",
"type": "string",
"value": "={{ $('GitHub Issue Webhook').item.json.body.issue.html_url }}"
},
{
"id": "ex-5",
"name": "issue_author",
"type": "string",
"value": "={{ $('GitHub Issue Webhook').item.json.body.issue.user.login }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "3236b243-0009-487c-bc0b-4d2dd6174534",
"name": "Fetch Recent Issues",
"type": "n8n-nodes-base.github",
"onError": "continueRegularOutput",
"maxTries": 3,
"position": [
944,
368
],
"parameters": {
"limit": 30,
"owner": {
"__rl": true,
"mode": "name",
"value": "={{ $json.github_owner }}"
},
"resource": "repository",
"repository": {
"__rl": true,
"mode": "name",
"value": "={{ $json.github_repo }}"
},
"authentication": "oAuth2",
"getRepositoryIssuesFilters": {
"state": "all"
}
},
"retryOnFail": true,
"typeVersion": 1.1,
"waitBetweenTries": 2000
},
{
"id": "a0d01de3-e6e2-4a7c-8096-51776c4b56c7",
"name": "Prepare Texts for Embedding",
"type": "n8n-nodes-base.code",
"position": [
1152,
368
],
"parameters": {
"jsCode": "// ==========================================\n// Prepare text array for batch embeddings:\n// [new issue, past issue 1, past issue 2, ...]\n// ==========================================\nconst newIssue = $('Extract Issue Info').item.json;\nconst response = $input.first().json;\nconst pastIssues = Array.isArray(response) ? response : (response.body || []);\n\n// New issue text (first in array)\nconst texts = [\n (newIssue.issue_title + '\\n' + (newIssue.issue_body || '')).substring(0, 2000)\n];\nconst metadata = [{ is_new: true }];\n\n// Past issues (exclude the new issue itself if present)\nfor (const issue of pastIssues) {\n if (issue.number === newIssue.issue_number) continue;\n if (issue.pull_request) continue; // skip PRs\n texts.push(\n (issue.title + '\\n' + (issue.body || '').substring(0, 500)).substring(0, 2000)\n );\n metadata.push({\n is_new: false,\n number: issue.number,\n title: issue.title,\n html_url: issue.html_url,\n state: issue.state\n });\n}\n\nreturn [{ json: { texts, metadata, new_issue: newIssue } }];"
},
"typeVersion": 2
},
{
"id": "6f566b9d-0c55-4a33-84fe-9c935a2ba79b",
"name": "Get Embeddings (Batch)",
"type": "n8n-nodes-base.httpRequest",
"onError": "continueRegularOutput",
"maxTries": 3,
"position": [
1360,
368
],
"parameters": {
"url": "https://api.openai.com/v1/embeddings",
"method": "POST",
"options": {},
"jsonBody": "={\n \"model\": \"text-embedding-3-small\",\n \"input\": {{ JSON.stringify($json.texts) }}\n}",
"sendBody": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth"
},
"retryOnFail": true,
"typeVersion": 4.2,
"waitBetweenTries": 2000
},
{
"id": "601840c3-8d5e-45ce-8c50-01eb7a4a445d",
"name": "Calculate Similarity",
"type": "n8n-nodes-base.code",
"position": [
1616,
368
],
"parameters": {
"jsCode": "// ==========================================\n// Cosine similarity: new issue vs each past issue\n// Find the max to detect duplicate\n// ==========================================\nfunction cosine(a, b) {\n let dot = 0, magA = 0, magB = 0;\n for (let i = 0; i < a.length; i++) {\n dot += a[i] * b[i];\n magA += a[i] * a[i];\n magB += b[i] * b[i];\n }\n return dot / (Math.sqrt(magA) * Math.sqrt(magB));\n}\n\nconst embedResp = $input.first().json;\nconst embeddings = embedResp.data;\nconst metadata = $('Prepare Texts for Embedding').item.json.metadata;\nconst newIssue = $('Prepare Texts for Embedding').item.json.new_issue;\nconst threshold = $('Set Configuration').item.json.duplicate_threshold || 0.85;\n\nif (!embeddings || embeddings.length < 2) {\n // No past issues to compare against\n return [{\n json: {\n ...newIssue,\n max_similarity: 0,\n is_duplicate: false,\n matched_issue: null\n }\n }];\n}\n\nconst newVec = embeddings[0].embedding;\nlet maxSim = 0;\nlet matched = null;\n\nfor (let i = 1; i < embeddings.length; i++) {\n const sim = cosine(newVec, embeddings[i].embedding);\n if (sim > maxSim) {\n maxSim = sim;\n matched = metadata[i];\n }\n}\n\nreturn [{\n json: {\n ...newIssue,\n max_similarity: Math.round(maxSim * 1000) / 1000,\n is_duplicate: maxSim >= threshold,\n matched_issue: matched\n }\n}];"
},
"typeVersion": 2
},
{
"id": "249beca5-71aa-4766-adb4-a93ad60bb38f",
"name": "If Duplicate",
"type": "n8n-nodes-base.if",
"position": [
1824,
368
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "if-dup",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{ $json.is_duplicate }}",
"rightValue": true
}
]
}
},
"typeVersion": 2
},
{
"id": "241741d1-8fc5-48d8-aa8a-b7bc889e218e",
"name": "Post Duplicate Comment",
"type": "n8n-nodes-base.github",
"onError": "continueRegularOutput",
"maxTries": 3,
"position": [
2112,
304
],
"parameters": {
"body": "=\ud83d\udc4b Thanks for the report! This looks like a possible duplicate of a recent issue (similarity {{ $json.top_similarity }}). We'll close this one to keep things tidy \u2014 please comment on the original issue if this still affects you.",
"owner": {
"__rl": true,
"mode": "name",
"value": "={{ $('Set Configuration').item.json.github_owner }}"
},
"operation": "createComment",
"repository": {
"__rl": true,
"mode": "name",
"value": "={{ $('Set Configuration').item.json.github_repo }}"
},
"issueNumber": "={{ $('Extract Issue Info').item.json.issue_number }}",
"authentication": "oAuth2"
},
"retryOnFail": true,
"typeVersion": 1.1,
"waitBetweenTries": 2000
},
{
"id": "f1929589-7203-4fb7-ae9c-fcac82f263db",
"name": "Close as Duplicate",
"type": "n8n-nodes-base.github",
"onError": "continueRegularOutput",
"maxTries": 3,
"position": [
2384,
304
],
"parameters": {
"owner": {
"__rl": true,
"mode": "name",
"value": "={{ $('Set Configuration').item.json.github_owner }}"
},
"operation": "edit",
"editFields": {
"state": "closed",
"labels": [
"duplicate"
]
},
"repository": {
"__rl": true,
"mode": "name",
"value": "={{ $('Set Configuration').item.json.github_repo }}"
},
"issueNumber": "={{ $('Extract Issue Info').item.json.issue_number }}",
"authentication": "oAuth2"
},
"retryOnFail": true,
"typeVersion": 1.1,
"waitBetweenTries": 2000
},
{
"id": "c4acc737-3324-4429-9eb3-d6fd32cb8207",
"name": "Classify Issue",
"type": "@n8n/n8n-nodes-langchain.openAi",
"onError": "continueRegularOutput",
"maxTries": 2,
"position": [
2064,
624
],
"parameters": {
"modelId": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini",
"cachedResultName": "gpt-4o-mini"
},
"options": {},
"messages": {
"values": [
{
"content": "You are a GitHub issue triage assistant. Classify the issue into exactly ONE of these categories: \"bug\", \"feature\", \"question\", \"spam\".\n\nRules:\n- \"bug\": reports of broken functionality, errors, crashes, regressions.\n- \"feature\": requests for new functionality or enhancements.\n- \"question\": how-to questions, usage help, FAQ-style asks.\n- \"spam\": off-topic, advertising, nonsense, or clearly malicious content.\n\nRespond ONLY with valid JSON in this exact shape (no markdown, no prose):\n{\"category\": \"bug|feature|question|spam\", \"reason\": \"short explanation, max 200 chars\"}\n\nIssue Title: {{ $json.issue_title }}\nIssue Body:\n{{ $json.issue_body }}"
}
]
},
"jsonOutput": true
},
"retryOnFail": true,
"typeVersion": 1.8,
"waitBetweenTries": 2000
},
{
"id": "bc77aba2-a530-4248-8f9a-a78dd0f8efbe",
"name": "Route by Category",
"type": "n8n-nodes-base.switch",
"position": [
2384,
624
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "bug",
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": false,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "s1",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json.message.content.toLowerCase().trim() }}",
"rightValue": "bug"
}
]
},
"renameOutput": true
},
{
"outputKey": "question",
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": false,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "s2",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json.message.content.toLowerCase().trim() }}",
"rightValue": "question"
}
]
},
"renameOutput": true
},
{
"outputKey": "feature",
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": false,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "s3",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json.message.content.toLowerCase().trim() }}",
"rightValue": "feature"
}
]
},
"renameOutput": true
},
{
"outputKey": "spam",
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": false,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "s4",
"operator": {
"type": "string",
"operation": "contains"
},
"leftValue": "={{ $json.message.content.toLowerCase().trim() }}",
"rightValue": "spam"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "a1636638-8f03-49d8-9fe5-32bd54d3154e",
"name": "Add Bug Label",
"type": "n8n-nodes-base.github",
"onError": "continueRegularOutput",
"maxTries": 3,
"position": [
2640,
288
],
"parameters": {
"owner": {
"__rl": true,
"mode": "name",
"value": "={{ $('Set Configuration').item.json.github_owner }}"
},
"operation": "edit",
"editFields": {
"labels": [
"bug",
"triage:auto"
]
},
"repository": {
"__rl": true,
"mode": "name",
"value": "={{ $('Set Configuration').item.json.github_repo }}"
},
"issueNumber": "={{ $('Extract Issue Info').item.json.issue_number }}",
"authentication": "oAuth2"
},
"retryOnFail": true,
"typeVersion": 1.1,
"waitBetweenTries": 2000
},
{
"id": "ca1e9be9-fa40-4bdf-a379-47f379bc53f7",
"name": "Alert Dev Team",
"type": "n8n-nodes-base.slack",
"onError": "continueRegularOutput",
"maxTries": 3,
"position": [
2912,
288
],
"parameters": {
"text": "=\ud83d\udc1b *New bug report triaged*\n\n\u2022 Title: {{ $('Calculate Similarity').item.json.issue_title }}\n\u2022 #{{ $('Calculate Similarity').item.json.issue_number }}: {{ $('Calculate Similarity').item.json.issue_html_url }}\n\u2022 Reporter: {{ $('Calculate Similarity').item.json.issue_author }}",
"select": "channel",
"channelId": {
"__rl": true,
"mode": "name",
"value": "={{ $('Set Configuration').item.json.dev_slack_channel }}"
},
"otherOptions": {}
},
"retryOnFail": true,
"typeVersion": 2.2,
"waitBetweenTries": 2000
},
{
"id": "9e8a9ea2-cd28-4bd0-bd4d-6974c560b151",
"name": "Post FAQ Comment",
"type": "n8n-nodes-base.github",
"onError": "continueRegularOutput",
"maxTries": 3,
"position": [
2640,
560
],
"parameters": {
"body": "=\ud83d\udc4b Thanks for your question! Many common questions are answered in our FAQ: {{ $('Set Configuration').item.json.faq_url }}\n\nIf you can't find your answer there, please reply with more details and a maintainer will help you out.",
"owner": {
"__rl": true,
"mode": "name",
"value": "={{ $('Set Configuration').item.json.github_owner }}"
},
"operation": "createComment",
"repository": {
"__rl": true,
"mode": "name",
"value": "={{ $('Set Configuration').item.json.github_repo }}"
},
"issueNumber": "={{ $('Extract Issue Info').item.json.issue_number }}",
"authentication": "oAuth2"
},
"retryOnFail": true,
"typeVersion": 1.1,
"waitBetweenTries": 2000
},
{
"id": "42d56db6-1810-475e-9238-c3913162050b",
"name": "Add to Roadmap",
"type": "n8n-nodes-base.googleSheets",
"onError": "continueRegularOutput",
"maxTries": 3,
"position": [
2656,
848
],
"parameters": {
"columns": {
"value": {
"url": "={{ $('Calculate Similarity').item.json.issue_html_url }}",
"title": "={{ $('Calculate Similarity').item.json.issue_title }}",
"author": "={{ $('Calculate Similarity').item.json.issue_author }}",
"status": "proposed",
"date_added": "={{ $now.toISO() }}",
"issue_number": "={{ $('Calculate Similarity').item.json.issue_number }}"
},
"mappingMode": "defineBelow",
"matchingColumns": []
},
"options": {},
"operation": "append",
"sheetName": {
"__rl": true,
"mode": "name",
"value": "={{ $('Set Configuration').item.json.roadmap_sheet_name }}"
},
"documentId": {
"__rl": true,
"mode": "id",
"value": "={{ $('Set Configuration').item.json.roadmap_sheet_id }}"
}
},
"retryOnFail": true,
"typeVersion": 4.5,
"waitBetweenTries": 2000
},
{
"id": "412816df-f1e3-4004-bb01-1ae73a0e8e49",
"name": "Close as Spam",
"type": "n8n-nodes-base.github",
"onError": "continueRegularOutput",
"maxTries": 3,
"position": [
2656,
1136
],
"parameters": {
"owner": {
"__rl": true,
"mode": "name",
"value": "={{ $('Set Configuration').item.json.github_owner }}"
},
"operation": "edit",
"editFields": {
"state": "closed",
"labels": [
"spam"
]
},
"repository": {
"__rl": true,
"mode": "name",
"value": "={{ $('Set Configuration').item.json.github_repo }}"
},
"issueNumber": "={{ $('Extract Issue Info').item.json.issue_number }}",
"authentication": "oAuth2"
},
"retryOnFail": true,
"typeVersion": 1.1,
"waitBetweenTries": 2000
},
{
"id": "st-ixgwv4tygb",
"name": "README",
"type": "n8n-nodes-base.stickyNote",
"position": [
-608,
192
],
"parameters": {
"width": 628,
"height": 928,
"content": "# Triage GitHub Issues with AI Category and Embedding-Based Duplicate Detection\n\nWhen a new Issue is opened, the workflow fetches recent Issues from the same repo, runs batch embeddings to calculate semantic similarity, and auto-closes duplicates with a reference comment. Non-duplicates are classified by AI into one of four categories and routed to the matching action branch.\n\n## How it works\n1. Receive a GitHub webhook when a new Issue is opened\n2. Filter for the \"opened\" action only\n3. Fetch the last 30 Issues from the repository\n4. Send all Issue texts to OpenAI embeddings in a single batch call\n5. Calculate cosine similarity between the new Issue and each past Issue\n6. If similarity exceeds 0.85, auto-close as duplicate with a reference comment\n7. Otherwise, classify the Issue with AI into bug, question, feature, or spam\n8. Route to the matching action branch\n\n## Categories\n- Bug: Add label and send Slack alert to dev team\n- Question: Post FAQ link as a comment\n- Feature: Append to roadmap Google Sheet\n- Spam: Auto-close with spam label\n- Duplicate: Auto-close with reference to the original Issue\n\n## Setup steps\n1. Generate a GitHub Personal Access Token with repo scope\n2. Create a webhook on your repository subscribing to Issues events\n3. Create a Google Sheet named feature_roadmap with columns: date_added, issue_number, title, author, url, status\n4. Open Set Configuration and fill in the repo owner, repo name, Sheet ID, Slack channel, and FAQ URL\n5. Connect GitHub, OpenAI, Google Sheets, and Slack credentials\n6. Activate the workflow"
},
"typeVersion": 1
},
{
"id": "st-fgn6gf7bzv",
"name": "Section 1 Trigger & Filter",
"type": "n8n-nodes-base.stickyNote",
"position": [
32,
192
],
"parameters": {
"color": 7,
"width": 816,
"height": 340,
"content": "## 1. Trigger & Filter\n\nGitHub webhook receives Issue events \u2192 load central configuration (owner/repo, thresholds, FAQ URL, Slack channel, Roadmap sheet) \u2192 keep only `opened` actions and extract the issue number / title / body for downstream use."
},
"typeVersion": 1
},
{
"id": "st-x39gpewg44",
"name": "Section 2 Fetch & Embed",
"type": "n8n-nodes-base.stickyNote",
"position": [
880,
192
],
"parameters": {
"color": 7,
"width": 688,
"height": 340,
"content": "## 2. Fetch & Embed\n\nPull the last 30 Issues from the same repo, combine titles + bodies, and send them all to the OpenAI embeddings API in a single batch request for cost & latency efficiency."
},
"typeVersion": 1
},
{
"id": "st-kuse1id055",
"name": "Section 3 Similarity & Dedup",
"type": "n8n-nodes-base.stickyNote",
"position": [
1584,
192
],
"parameters": {
"color": 7,
"width": 432,
"height": 340,
"content": "## 3. Similarity & Dedup\n\nCompute cosine similarity between the new Issue and every fetched Issue. If the top score exceeds `duplicate_threshold` (default 0.85) \u2192 route to the Duplicate branch, otherwise continue to AI classification."
},
"typeVersion": 1
},
{
"id": "st-rtusm0gvlj",
"name": "Section 4 Classify & Dispatch",
"type": "n8n-nodes-base.stickyNote",
"position": [
2032,
464
],
"parameters": {
"color": 7,
"width": 528,
"height": 388,
"content": "## 4. Classify & Dispatch\n\nGPT-4o-mini labels the Issue as one of bug / feature / question / spam (deterministic JSON). A Switch node fans out to five side effects: duplicate handling, bug alerting, FAQ reply, roadmap logging, and spam closure."
},
"typeVersion": 1
},
{
"id": "st-wrb2p6qnld",
"name": "Branch: Post Duplicate Comment",
"type": "n8n-nodes-base.stickyNote",
"position": [
2032,
192
],
"parameters": {
"color": 7,
"width": 260,
"height": 264,
"content": "### \ud83d\udd01 Duplicate \u2192 Comment\nPolite \"possible duplicate\" comment posted on the new Issue with the similarity score."
},
"typeVersion": 1
},
{
"id": "st-49ic6vbdyf",
"name": "Branch: Close as Duplicate",
"type": "n8n-nodes-base.stickyNote",
"position": [
2304,
192
],
"parameters": {
"color": 7,
"width": 260,
"height": 264,
"content": "### \ud83d\udd12 Duplicate \u2192 Close\nCloses the Issue and applies the `duplicate` label."
},
"typeVersion": 1
},
{
"id": "st-4cgzl7vacl",
"name": "Branch: Add Bug Label",
"type": "n8n-nodes-base.stickyNote",
"position": [
2576,
192
],
"parameters": {
"color": 7,
"width": 260,
"height": 264,
"content": "### \ud83d\udc1b Bug \u2192 Label\nAdds the `bug` + `triage:auto` labels to the Issue."
},
"typeVersion": 1
},
{
"id": "st-7dos69hjg4",
"name": "Branch: Alert Dev Team",
"type": "n8n-nodes-base.stickyNote",
"position": [
2848,
192
],
"parameters": {
"color": 7,
"width": 260,
"height": 264,
"content": "### \ud83d\udce3 Bug \u2192 Slack Alert\nPings the configured dev Slack channel with the issue link."
},
"typeVersion": 1
},
{
"id": "st-h9m8bl1sz6",
"name": "Branch: Post FAQ Comment",
"type": "n8n-nodes-base.stickyNote",
"position": [
2576,
464
],
"parameters": {
"color": 7,
"width": 260,
"height": 248,
"content": "### \u2753 Question \u2192 FAQ Reply\nAuto-replies with a link to the FAQ documentation."
},
"typeVersion": 1
},
{
"id": "st-w619lvcarm",
"name": "Branch: Add to Roadmap",
"type": "n8n-nodes-base.stickyNote",
"position": [
2576,
736
],
"parameters": {
"color": 7,
"width": 260,
"height": 264,
"content": "### \u2728 Feature \u2192 Roadmap\nAppends the request to a Google Sheets roadmap backlog."
},
"typeVersion": 1
},
{
"id": "st-ibvc4cu84t",
"name": "Branch: Close as Spam",
"type": "n8n-nodes-base.stickyNote",
"position": [
2576,
1024
],
"parameters": {
"color": 7,
"width": 260,
"height": 280,
"content": "### \ud83d\udeab Spam \u2192 Close\nCloses the Issue immediately and applies the `spam` label."
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"binaryMode": "separate",
"executionOrder": "v1"
},
"versionId": "31feeac4-3bcf-4643-8c92-eb50053621b6",
"connections": {
"If Duplicate": {
"main": [
[
{
"node": "Post Duplicate Comment",
"type": "main",
"index": 0
}
],
[
{
"node": "Classify Issue",
"type": "main",
"index": 0
}
]
]
},
"Add Bug Label": {
"main": [
[
{
"node": "Alert Dev Team",
"type": "main",
"index": 0
}
]
]
},
"Classify Issue": {
"main": [
[
{
"node": "Route by Category",
"type": "main",
"index": 0
}
]
]
},
"Route by Category": {
"main": [
[
{
"node": "Add Bug Label",
"type": "main",
"index": 0
}
],
[
{
"node": "Post FAQ Comment",
"type": "main",
"index": 0
}
],
[
{
"node": "Add to Roadmap",
"type": "main",
"index": 0
}
],
[
{
"node": "Close as Spam",
"type": "main",
"index": 0
}
]
]
},
"Set Configuration": {
"main": [
[
{
"node": "Only On Issue Opened",
"type": "main",
"index": 0
}
]
]
},
"Extract Issue Info": {
"main": [
[
{
"node": "Fetch Recent Issues",
"type": "main",
"index": 0
}
]
]
},
"Fetch Recent Issues": {
"main": [
[
{
"node": "Prepare Texts for Embedding",
"type": "main",
"index": 0
}
]
]
},
"Calculate Similarity": {
"main": [
[
{
"node": "If Duplicate",
"type": "main",
"index": 0
}
]
]
},
"GitHub Issue Webhook": {
"main": [
[
{
"node": "Set Configuration",
"type": "main",
"index": 0
}
]
]
},
"Only On Issue Opened": {
"main": [
[
{
"node": "Extract Issue Info",
"type": "main",
"index": 0
}
]
]
},
"Get Embeddings (Batch)": {
"main": [
[
{
"node": "Calculate Similarity",
"type": "main",
"index": 0
}
]
]
},
"Post Duplicate Comment": {
"main": [
[
{
"node": "Close as Duplicate",
"type": "main",
"index": 0
}
]
]
},
"Prepare Texts for Embedding": {
"main": [
[
{
"node": "Get Embeddings (Batch)",
"type": "main",
"index": 0
}
]
]
}
}
}
Pro
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About this workflow
Open-source maintainers, product teams with public repositories, and any organization receiving a steady stream of GitHub Issues. Ideal for small teams who waste hours per week triaging duplicates and misrouted reports.
Source: https://n8n.io/workflows/15251/ — original creator credit. Request a take-down →
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