GitHub 푸시에서 Twitter 및 LinkedIn 소셜 게시물 생성
이것은Multimodal AI분야의자동화 워크플로우로, 18개의 노드를 포함합니다.주로 If, Merge, Github, Twitter, Webhook 등의 노드를 사용하며. GitHub README/CHANGELOG 업데이트 기반 GPT-4o 및 OAuth를 사용하여 소셜 게시물 자동 생성
- •GitHub Personal Access Token
- •Twitter API 인증 정보
- •HTTP Webhook 엔드포인트(n8n이 자동으로 생성)
- •LinkedIn API 인증 정보
- •OpenAI API Key
사용된 노드 (18)
카테고리
{
"id": "zMl1xguA65ATPxMh",
"meta": {
"instanceId": "6bad1eba185697a960de5bc9203d6bff2fd56440a0b5303c382e0b1537a2a568",
"templateCredsSetupCompleted": true
},
"name": "Generate social posts from GitHub pushes to Twitter and LinkedIn",
"tags": [],
"nodes": [
{
"id": "29f468dd-8822-4de7-9bf7-0205e8b51b12",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
-640,
-144
],
"webhookId": "70b80513-b93c-4749-9a06-e78d4f1f2d23",
"parameters": {
"path": "70b80513-b93c-4749-9a06-e78d4f1f2d23",
"options": {},
"httpMethod": "POST"
},
"typeVersion": 2
},
{
"id": "a991ef0a-48ef-4ccf-98c6-587edddafa96",
"name": "Merge",
"type": "n8n-nodes-base.merge",
"position": [
400,
-80
],
"parameters": {},
"typeVersion": 3.2
},
{
"id": "a19b66f5-0927-4c59-8343-f2cea29feb5e",
"name": "README 가져오기",
"type": "n8n-nodes-base.github",
"position": [
64,
-208
],
"webhookId": "eab25bcf-6820-4ee6-ab43-7ec9f5a9e413",
"parameters": {
"owner": {
"__rl": true,
"mode": "name",
"value": "jorge210488"
},
"filePath": "README.md",
"resource": "file",
"operation": "get",
"repository": {
"__rl": true,
"mode": "name",
"value": "={{ $json.body.repository.name }}"
},
"additionalParameters": {}
},
"credentials": {
"githubApi": {
"id": "O2s7MSmQAwSFAbN5",
"name": "GitHub account"
}
},
"typeVersion": 1.1
},
{
"id": "b3ae8e15-dd37-4207-a78c-4b18b72c9cb8",
"name": "CHANGELOG 가져오기",
"type": "n8n-nodes-base.github",
"position": [
64,
32
],
"webhookId": "eab25bcf-6820-4ee6-ab43-7ec9f5a9e413",
"parameters": {
"owner": {
"__rl": true,
"mode": "name",
"value": "jorge210488"
},
"filePath": "CHANGELOG.md",
"resource": "file",
"operation": "get",
"repository": {
"__rl": true,
"mode": "name",
"value": "={{ $json.body.repository.name }}"
},
"additionalParameters": {}
},
"credentials": {
"githubApi": {
"id": "O2s7MSmQAwSFAbN5",
"name": "GitHub account"
}
},
"typeVersion": 1.1
},
{
"id": "9229a69b-fe35-4a25-a8d8-bc3e1f6d8894",
"name": "If",
"type": "n8n-nodes-base.if",
"position": [
-448,
-144
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "fb7ff717-d8a0-44ed-9053-1e88d50f88de",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{\n ($json.body.commits ?? []).some(c =>\n [ ...(c.added ?? []), ...(c.modified ?? []), ...(c.removed ?? []) ]\n .some(f => String(f).toLowerCase().includes('changelog'))\n )\n}}",
"rightValue": "="
}
]
}
},
"typeVersion": 2.2
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{
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"name": "작업 없음, 아무것도 하지 않음",
"type": "n8n-nodes-base.noOp",
"position": [
-256,
48
],
"parameters": {},
"typeVersion": 1
},
{
"id": "e35435d4-f3f8-44f1-ac78-21efda7076ac",
"name": "Aggregate",
"type": "n8n-nodes-base.aggregate",
"position": [
560,
-80
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "82c95a95-4a00-405d-a826-9c387a3f76be",
"name": "기본 LLM 체인",
"type": "@n8n/n8n-nodes-langchain.chainLlm",
"position": [
832,
-80
],
"parameters": {
"text": "=README: {{ $json.data[0].data }}\nCHANGELOG: {{ $json.data[1].data }}",
"batching": {},
"messages": {
"messageValues": [
{
"message": "=# Role\n\nYou are a precise content generator for social media.\nYour input will be a JSON object with two string fields:\n\n* `README`: full project README in Markdown.\n* `CHANGELOG`: full changelog in Markdown.\n\n## Your task\n\nProduce **one JSON object** with exactly two keys:\n\n```json\n{\n \"twitter\": \"<tweet in English, <=280 chars including the GitHub link>\",\n \"linkedin\": \"<LinkedIn post in English, long-form>\"\n}\n```\n\nNo extra keys, no surrounding text, no Markdown fences.\n\n## Parsing rules (do not hallucinate)\n\n1. **Repository URL (required in both posts):**\n\n * Extract the **first** URL that matches a GitHub repo pattern from `CHANGELOG` using a regex like:\n `https?://github\\.com/[A-Za-z0-9_.-]+/[A-Za-z0-9_.-]+`\n * If not found in `CHANGELOG`, search `README` with the same regex.\n * If still not found, **do not fabricate** a URL; instead, use the literal placeholder `https://github.com/REPO_MISSING`. (Keep generating the posts.)\n\n2. **Project name:**\n\n * Prefer the first H1 (`# Title`) in `README`. If not present, infer a concise name from the first heading found. If impossible, use a short neutral name like “This project”.\n\n3. **First release or update determination:**\n\n * From `CHANGELOG`, detect if this is the **first or only version** (e.g., version numbers like `v1.0.0`, \"Initial release\", or only one version section present).\n * If first/only version → the post should clearly state it's a **new project/app/development** (e.g., “New project”, “Launching a new application”).\n * If not first version → the post should state it’s an **update or improvement** (e.g., “Updating the project X”, “Improving the application X”).\n\n4. **Description & features:**\n\n * Derive a clear, one-sentence value proposition from `README`’s Description/Overview.\n * Collect 4–7 key capabilities/benefits (bullets for LinkedIn).\n\n5. **Tech stack:**\n\n * From `README`, extract notable technologies (backend, frontend, infra/services).\n * Examples to detect if present: Django, DRF, Celery, Redis, Channels/WebSockets, Next.js, React, TypeScript, Tailwind CSS, Zustand, Framer Motion, Stripe, OpenAI, OAuth/Google, SMTP/Email, Docker, Docker Compose.\n * For **Twitter**, mention only the **3–4 most central** technologies.\n * For **LinkedIn**, you may group by Backend / Frontend / Infra.\n\n## LinkedIn post (English, long-form)\n\n* Tone: professional, enthusiastic, concise sentences; **no emojis**.\n* Structure (use short paragraphs and bullet points):\n\n * Hook:\n\n * If first release → start with “New project: …” or similar phrasing.\n * If update → start with “Updating the project \\[name]: …” or similar phrasing.\n * What it does: 1 short paragraph.\n * Key features/benefits: 4–7 bullets.\n * Tech stack (grouped): bullets for Backend, Frontend, Infra/Services.\n * Motivational developer line (one sentence, non-cheesy).\n * Call to action with the **repo link** (exactly once).\n* Hashtags: **8–12** relevant tags, all lowercase, no spaces (use hyphens only if part of the tech brand). Prioritize technologies and domain, e.g.:\n `#python #django #nextjs #typescript #tailwindcss #stripe #openai #celery #redis #websockets #ai #saas #startups #webdevelopment`\n (Pick only those truly present; don’t invent.)\n\n## Twitter post (English, max 280 chars including link)\n\n* Format:\n\n * If first release → short sentence like “New project: …” or similar.\n * If update → short sentence like “Updating project \\[name]: …” or similar.\n* Describe what the app does + **repo link** (once).\n* Mention **3–4** main technologies inline (e.g., Django, Next.js, Stripe, OpenAI).\n* **2–3 hashtags max**, chosen from the most relevant.\n* **No emojis.**\n* Length enforcement: if >280 chars, iteratively shorten by (in order): remove adjectives, compress wording, then drop one hashtag at a time until ≤280. Never drop the repo link.\n\n## Output formatting\n\n* Return a **single JSON object** with keys `\"twitter\"` and `\"linkedin\"`.\n* Escape quotes properly.\n* Do **not** add explanations, markdown, or extra whitespace before/after the JSON.\n* Do not include any links other than the repo link.\n\n## Safety & accuracy\n\n* Never fabricate tech or features not present in the inputs.\n* If some sections are missing in inputs, omit that detail gracefully.\n* Keep everything in **English** except hashtags which are typically lowercase English tokens.\n* Do not output dates/releases unless explicitly present.\n* Maintain a positive, credible tone.\n"
}
]
},
"promptType": "define",
"hasOutputParser": true
},
"typeVersion": 1.7
},
{
"id": "927afa09-65bf-4c62-955c-42a3bb098f28",
"name": "OpenAI 채팅 모델",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
832,
80
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "9RjbvMHnwZg2LraO",
"name": "OpenAi ROD"
}
},
"typeVersion": 1.2
},
{
"id": "43f2f142-8319-445f-80a9-61c56ae6ddad",
"name": "구조화된 출력 파서",
"type": "@n8n/n8n-nodes-langchain.outputParserStructured",
"position": [
1008,
80
],
"parameters": {
"jsonSchemaExample": "{\n \"twitter\": \"tweet in English, <=280 chars including the GitHub link\",\n \"linkedin\": \"LinkedIn post in English, long-form\"\n}"
},
"typeVersion": 1.2
},
{
"id": "c2454817-d07d-45e0-8c5f-03a68c619eb8",
"name": "트윗 게시",
"type": "n8n-nodes-base.twitter",
"position": [
1248,
48
],
"parameters": {
"text": "={{ $json.output.twitter }}",
"additionalFields": {}
},
"credentials": {
"twitterOAuth2Api": {
"id": "VF7lxb5r1ouC0O22",
"name": "X account"
}
},
"typeVersion": 2
},
{
"id": "944f1559-f79e-4034-b70f-0246c8b40a5f",
"name": "LinkedIn",
"type": "n8n-nodes-base.linkedIn",
"position": [
1248,
-160
],
"parameters": {
"text": "={{ $json.output.linkedin }}",
"person": "nUdV-_cHkk",
"additionalFields": {}
},
"credentials": {
"linkedInOAuth2Api": {
"id": "Slo13uTVYAdaV30t",
"name": "LinkedIn account"
}
},
"typeVersion": 1
},
{
"id": "d64cf42e-40b0-4db8-9748-774751840a14",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-720,
-720
],
"parameters": {
"width": 660,
"height": 900,
"content": "# GitHub Push → README & CHANGELOG check\n\n## 1) Webhook (receive push from GitHub)\n* **Node:** Webhook (POST)\n* **GitHub setup:** Repository → *Settings → Webhooks → Add webhook*\n * **Payload URL:** `https://<your-n8n-domain>/webhook/github/push`\n * **Content type:** `application/json`\n * **Event:** *Just the push event*\n * **Secret:** optional\n * **Branches:** choose specific branches or send all\n## 2) IF (filter)\n* **Node:** IF\n* **Checks:** push contains `README` and `CHANGELOG` in *added* or *modified* files\n* **True:** continue\n* **False:** do nothing (stop)\n"
},
"typeVersion": 1
},
{
"id": "b08176e7-283f-4ed3-8c54-c90daeb05d59",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
48,
-720
],
"parameters": {
"color": 4,
"width": 640,
"height": 920,
"content": "# GitHub → Extract → Merge/Aggregate\n\n## 1) GitHub (Get Repository File)\n* **Credentials:** GitHub OAuth2 or PAT with read access.\n* **Owner/Repo/Branch:** from webhook payload (`body.repository`, branch from `body.ref`).\n* **File Path:** `README.md` and `CHANGELOG.md` (use two GitHub nodes).\n* **Output:** binary files.\n## 2) Extract from File (text)\n* **Operation:** `text`.\n* **Input:** binary from each GitHub node.\n* **Output:** plain text for README and CHANGELOG.\n## 3) Merge & Aggregate\n* **Merge:** *Wait for Both* (combine README + CHANGELOG into one item).\n* **Aggregate:** `aggregateAllItemData` (single item with `documents` list holding both contents).\n"
},
"typeVersion": 1
},
{
"id": "90e42f76-4ca3-4e6d-902c-2b4f1e29c0a4",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
752,
-720
],
"parameters": {
"width": 720,
"height": 920,
"content": "# LLM → Post to Twitter & LinkedIn\n\n## 1) LLM (OpenAI → JSON)\n* Nodes: OpenAI Chat Model → Basic LLM Chain (+ Structured Output Parser)\n* Input: aggregated README + CHANGELOG\n* Output: JSON with `\"twitter\"` and `\"linkedin\"`\n## 2) Publish\n* **Twitter node**\n * Auth: credentials\n* **LinkedIn node (Person)**\n * Auth: credentials\n * Required scope: `w_member_social`, `openid`\n"
},
"typeVersion": 1
},
{
"id": "3f31d48b-c0cc-4140-9bd8-02f4267f7f65",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1520,
-720
],
"parameters": {
"color": 5,
"width": 780,
"height": 900,
"content": "# Generate social posts from GitHub pushes to Twitter and LinkedIn\nOn each GitHub *push*, this workflow checks if the commit set includes **README.md** and **CHANGELOG.md**, fetches both files, lets an **LLM** generate a Twitter and LinkedIn post, then publishes to **Twitter** and **LinkedIn (Person)**.\n## Apps & Nodes\n* **Trigger:** Webhook\n* **Logic:** IF, Merge, Aggregate\n* **GitHub:** Get Repository File (×2)\n* **Files:** Extract from File (text) (×2)\n* **AI:** OpenAI Chat Model → LLM Chain (+ Structured Output Parser)\n* **Publish:** Twitter, LinkedIn (Person)\n## Prerequisites\n* **GitHub:** OAuth2 or PAT with repo read.\n* **OpenAI:** API key.\n* **Twitter:** OAuth2 app with *Read and Write*; scopes `tweet.read tweet.write users.read offline.access`.\n* **LinkedIn (Person):** OAuth2 credentials; **required scope:** `w_member_social`, `openid`.\n## Setup\n1. **GitHub Webhook:** Repo → *Settings → Webhooks*\n\n * Payload URL: `https://<your-n8n-domain>/webhook/github/push`\n * Content type: `application/json` • Event: *Push* • Secret (optional) • Branches as needed.\n2. **Credentials:** Connect GitHub, OpenAI, Twitter, and LinkedIn (Person).\n## How it Works\n1. **Webhook** receives GitHub push payload.\n2. **IF** checks that `README` and `CHANGELOG` appear in *added/modified*.\n3. **GitHub (Get Repository File)** pulls `README.md` and `CHANGELOG.md`.\n4. **Extract from File (text)** converts both binaries to text.\n5. **Merge & Aggregate** combines into one item with both contents.\n6. **LLM (OpenAI + Parser)** returns a JSON with `twitter` and `linkedin`.\n7. **Twitter** posts the tweet.\n8. **LinkedIn (Person)** posts the LinkedIn text.\n"
},
"typeVersion": 1
},
{
"id": "95134ca6-76d8-49a2-ae2c-6f1d7121c9a6",
"name": "파일 README에서 추출",
"type": "n8n-nodes-base.extractFromFile",
"position": [
224,
-208
],
"parameters": {
"options": {},
"operation": "text"
},
"typeVersion": 1
},
{
"id": "a61fd00a-34f2-4e8b-bdf5-7e9c686f58ed",
"name": "파일 CHANGELOG에서 추출",
"type": "n8n-nodes-base.extractFromFile",
"position": [
224,
32
],
"parameters": {
"options": {},
"operation": "text"
},
"typeVersion": 1
}
],
"active": true,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"versionId": "78f3c247-4dc6-474b-8a51-3a55a072dd92",
"connections": {
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"29f468dd-8822-4de7-9bf7-0205e8b51b12": {
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{
"node": "9229a69b-fe35-4a25-a8d8-bc3e1f6d8894",
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"type": "main",
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{
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"type": "main",
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"927afa09-65bf-4c62-955c-42a3bb098f28": {
"ai_languageModel": [
[
{
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"type": "ai_languageModel",
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"43f2f142-8319-445f-80a9-61c56ae6ddad": {
"ai_outputParser": [
[
{
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"type": "ai_outputParser",
"index": 0
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}
}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 - 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.
관련 워크플로우 추천
Jorge Martínez
@jorgemartinezjamAI Engineer & Full Stack Developer skilled in designing intelligent agents, workflow automation, and NLP solutions. Experienced with LLMs, Relevance AI, make, zapier, and n8n. Proficient in integrating AI and chatbots into web apps, optimizing processes, and leveraging automation for real-time productivity. Strong background in backend and frontend development, REST APIs, and database management.
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