Linear Bug 자동 라우팅
고급
이것은Content Creation, Multimodal AI분야의자동화 워크플로우로, 17개의 노드를 포함합니다.주로 If, Linear, Switch, LinearTrigger, Agent 등의 노드를 사용하며. GPT-4-mini 분류를 통한 Linear 이슈 자동 라우팅
사전 요구사항
- •OpenAI API Key
워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
{
"meta": {
"templateCredsSetupCompleted": false
},
"name": "Linear Bug Auto-Routing",
"nodes": [
{
"id": "8de2b34a-a4ff-4cdb-a028-3a5cf4583e63",
"name": "📋 신규 이슈만 필터링",
"type": "n8n-nodes-base.if",
"position": [
-2384,
736
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "condition-1",
"operator": {
"type": "string",
"operation": "exists"
},
"leftValue": "={{ $json.data.title }}",
"rightValue": ""
}
]
}
},
"typeVersion": 2
},
{
"id": "ddc917d1-0513-49e0-a522-178210751b71",
"name": "🔔 Linear 트리거",
"type": "n8n-nodes-base.linearTrigger",
"position": [
-2608,
736
],
"parameters": {
"teamId": "YOUR_LINEAR_TEAM_ID",
"resources": [
"issue"
]
},
"credentials": {
"linearApi": "linear_api_credentials"
},
"typeVersion": 1
},
{
"id": "07c6b417-86b4-43a6-b8f5-0db4685b073a",
"name": "⚖️ 조건 (생성 또는 업데이트)",
"type": "n8n-nodes-base.if",
"position": [
-2160,
736
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "or",
"conditions": [
{
"id": "a395310f-475c-4726-b2ef-7db876471a36",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.action }}",
"rightValue": "create"
},
{
"id": "92ece19c-6765-4ed0-a5dc-4fd1ef190cb6",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.action }}",
"rightValue": "update"
}
]
}
},
"typeVersion": 2.2
},
{
"id": "aab37c69-54c9-4a53-ae6a-780091c1915f",
"name": "🤖 AI 에이전트 (버그 분류기)",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-1936,
736
],
"parameters": {
"text": "=You are a bug classification expert. Based on the bug title and description, classify it into exactly one of these teams: Engineering, Product, Design, QA, DevOps, Support.\n\nRules:\n- If it belongs to Engineering, respond with: ENGINEERING_TEAM_ID\n- If it belongs to Product, respond with: PRODUCT_TEAM_ID\n- If it belongs to Design, respond with: DESIGN_TEAM_ID\n- If it belongs to Nothing(Default), respond with: DEFAULT_TEAM_ID\n\n\nRespond with ONLY the correct team ID as specified above. Do not include explanations, text, or formatting.\n\nTitle: {{ $json.data.title }}\nDescription: {{ $json.data.description }}",
"options": {},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "af0aef84-bb2a-4a6e-a35a-ce1002fb7907",
"name": "🔀 엔지니어링 라우터",
"type": "n8n-nodes-base.switch",
"position": [
-1584,
448
],
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "cedcaf8e-894e-4598-9d82-8e6ad125449c",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.output }}",
"rightValue": "ENGINEERING_TEAM_ID"
}
]
}
}
]
},
"options": {}
},
"typeVersion": 3
},
{
"id": "8fd08de3-dc30-495d-9ac4-1939d60d5bee",
"name": "🔀 제품 라우터",
"type": "n8n-nodes-base.switch",
"position": [
-1584,
640
],
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "1d753992-3f8f-4899-a6db-1394ad513af8",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.output }}",
"rightValue": "PRODUCT_TEAM_ID"
}
]
}
}
]
},
"options": {}
},
"typeVersion": 3
},
{
"id": "4ebcd42e-7a0b-4a6a-acf0-decf9b60c7ca",
"name": "🔀 디자인 라우터",
"type": "n8n-nodes-base.switch",
"position": [
-1584,
832
],
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "85fcf1da-00b7-4392-9421-23dd52c18258",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.output }}",
"rightValue": "DESIGN_TEAM_ID"
}
]
}
}
]
},
"options": {}
},
"typeVersion": 3
},
{
"id": "11e315a7-50e2-4789-ad38-4c9a33569ede",
"name": "🔀 기본 라우터",
"type": "n8n-nodes-base.switch",
"position": [
-1584,
1024
],
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"version": 1,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "85fcf1da-00b7-4392-9421-23dd52c18258",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.output }}",
"rightValue": "DEFAULT_TEAM_ID"
}
]
}
}
]
},
"options": {}
},
"typeVersion": 3
},
{
"id": "37ef1f41-1cb2-40d0-99d2-f10603253e8f",
"name": "🛠️ 엔지니어링 담당자 지정",
"type": "n8n-nodes-base.linear",
"position": [
-1360,
448
],
"parameters": {
"issueId": "={{ $('⚖️ If (Create or Update)').item.json.data.id }}",
"operation": "update",
"updateFields": {
"teamId": "={{ $json.output }}"
}
},
"credentials": {
"linearApi": "linear_api_credentials"
},
"typeVersion": 1.1
},
{
"id": "1ff305f6-6ad4-496e-8380-22e26f637c55",
"name": "📦 제품 담당자 지정",
"type": "n8n-nodes-base.linear",
"position": [
-1360,
640
],
"parameters": {
"issueId": "={{ $('⚖️ If (Create or Update)').item.json.data.id }}",
"operation": "update",
"updateFields": {
"teamId": "={{ $json.output }}"
}
},
"credentials": {
"linearApi": "linear_api_credentials"
},
"typeVersion": 1.1
},
{
"id": "5fb7fd8b-521e-4bf2-8e25-319e4a4bd961",
"name": "🎨 디자인 담당자 지정",
"type": "n8n-nodes-base.linear",
"position": [
-1360,
832
],
"parameters": {
"issueId": "={{ $('⚖️ If (Create or Update)').item.json.data.id }}",
"operation": "update",
"updateFields": {
"teamId": "={{ $json.output }}"
}
},
"credentials": {
"linearApi": "linear_api_credentials"
},
"typeVersion": 1.1
},
{
"id": "998b5ad7-72b0-49d0-9e87-57bca44b5976",
"name": "📂 기본 담당자 지정",
"type": "n8n-nodes-base.linear",
"position": [
-1360,
1024
],
"parameters": {
"issueId": "={{ $('⚖️ If (Create or Update)').item.json.data.id }}",
"operation": "update",
"updateFields": {
"teamId": "={{ $json.output }}"
}
},
"credentials": {
"linearApi": "linear_api_credentials"
},
"typeVersion": 1.1
},
{
"id": "c8beeaf3-ca48-4d22-8889-5b0bac314700",
"name": "🧠 OpenAI 채팅 모델",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-1872,
960
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4-mini"
},
"options": {}
},
"credentials": {
"openAiApi": "openai_api_credentials"
},
"typeVersion": 1.2
},
{
"id": "e5ea3681-7a84-4582-b473-147ce69fb941",
"name": "스티커 노트",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2656,
144
],
"parameters": {
"color": 5,
"width": 640,
"height": 1040,
"content": "## 🔔 Trigger & Filtering\n\n*🔔 Linear Trigger — This node acts as the entry point of the workflow. It continuously monitors Linear for any new activity and immediately triggers the automation whenever an issue is created or updated. By doing so, it ensures that the workflow reacts in real time without requiring any manual intervention.\n\n📋 Filter New Issues Only — Once triggered, the workflow passes through a validation step. This filter checks whether the issue has a valid title before allowing it to move further down the pipeline. This prevents incomplete or irrelevant records (such as empty or placeholder issues) from being unnecessarily processed, keeping the workflow clean and efficient.\n\n⚖️ If (Create or Update) — After validation, the workflow runs a conditional check to determine the type of action that occurred in Linear. Specifically, it verifies whether the incoming item is the result of a create or an update event. Only if the condition is met does the issue proceed to the next stage, ensuring the workflow remains focused on meaningful changes rather than every possible event.*"
},
"typeVersion": 1
},
{
"id": "ad3eda57-3289-46f9-bb1a-7cacb0632206",
"name": "스티커 노트1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2000,
144
],
"parameters": {
"color": 4,
"width": 320,
"height": 1040,
"content": "## 🤖 AI Classification\n\n*🧠 OpenAI Chat Model — This node serves as the backbone of the intelligent classification process. It leverages the power of an advanced large language model (LLM), specifically GPT-4-mini, to analyze text with accuracy and efficiency. By integrating directly into the workflow, it enables natural language understanding, which is essential for interpreting bug reports in a human-like manner. This ensures that every issue is examined contextually rather than just through static keyword checks.\n\n🤖 AI Agent (Bug Classifier) — Built on top of the OpenAI Chat Model, this specialized agent is designed to automatically interpret the bug title and description provided in Linear. Its role is to classify each issue into exactly one of the predefined categories: Engineering, Product, Design, or Default. By doing so, it removes the need for manual triaging, speeds up the bug management process, and ensures that issues are instantly directed to the right team with minimal human oversight.*"
},
"typeVersion": 1
},
{
"id": "45ab34c6-9464-4d11-be27-297efa530029",
"name": "스티커 노트2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1408,
144
],
"parameters": {
"height": 1040,
"content": "## 🗂️ Assignment Actions\n\n*Assign to Engineering, Assign to Product, Assign to Design, and Assign to Default update the Linear issue with the correct team ID.\n\nThese ensure the issue gets routed into the right backlog automatically.*"
},
"typeVersion": 1
},
{
"id": "9f3b5383-c215-4e33-ac47-93698cf186a4",
"name": "스티커 노트3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1664,
144
],
"parameters": {
"color": 3,
"height": 1040,
"content": "## 🔀 Routing Logic\n\n*Engineering Router, Product Router, Design Router, and Default Router each check the classifier's output against the correct team ID.\n\nThis guarantees that only one path is chosen, based on the assigned team.*"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"connections": {
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"8fd08de3-dc30-495d-9ac4-1939d60d5bee": {
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"ddc917d1-0513-49e0-a522-178210751b71": {
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},
"c8beeaf3-ca48-4d22-8889-5b0bac314700": {
"ai_languageModel": [
[
{
"node": "aab37c69-54c9-4a53-ae6a-780091c1915f",
"type": "ai_languageModel",
"index": 0
}
]
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},
"af0aef84-bb2a-4a6e-a35a-ce1002fb7907": {
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"8de2b34a-a4ff-4cdb-a028-3a5cf4583e63": {
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}
}
}자주 묻는 질문
이 워크플로우를 어떻게 사용하나요?
위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.
이 워크플로우는 어떤 시나리오에 적합한가요?
고급 - 콘텐츠 제작, 멀티모달 AI
유료인가요?
이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.
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저자
Avkash Kakdiya
@itechnotion🚀 Founder of iTechNotion — we build custom AI-powered automation workflows for startups, agencies, and founders. 💡 Specializing in agentic AI systems, content automation, sales funnels, and digital workers. 🔧 14+ years in tech | Building scalable no-code/low-code solutions using n8n, OpenAI, and other API-first tools. 📬 Let’s automate what slows you down.
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