GitHubのプッシュからTwitterとLinkedIn向けソーシャル投稿を自動生成
これはMultimodal AI分野の自動化ワークフローで、18個のノードを含みます。主にIf, Merge, Github, Twitter, Webhookなどのノードを使用。 GitHubのREADME/CHANGELOGに基づいて、GPT-4oとOAuthを使用して自動のにソーシャル投稿を生成
- •GitHub Personal Access Token
- •Twitter API認証情報
- •HTTP Webhookエンドポイント(n8nが自動生成)
- •LinkedIn API認証情報
- •OpenAI API Key
使用ノード (18)
カテゴリー
{
"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": "マージ",
"type": "n8n-nodes-base.merge",
"position": [
400,
-80
],
"parameters": {},
"typeVersion": 3.2
},
{
"id": "a19b66f5-0927-4c59-8343-f2cea29feb5e",
"name": "README取得",
"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取得",
"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": "={{ $json.body.repository.name }}"
},
"additionalParameters": {}
},
"credentials": {
"githubApi": {
"id": "O2s7MSmQAwSFAbN5",
"name": "GitHub account"
}
},
"typeVersion": 1.1
},
{
"id": "9229a69b-fe35-4a25-a8d8-bc3e1f6d8894",
"name": "条件分岐",
"type": "n8n-nodes-base.if",
"position": [
-448,
-144
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "fb7ff717-d8a0-44ed-9053-1e88d50f88de",
"operator": {
"type": "boolean",
"operation": "true",
"singleValue": true
},
"leftValue": "={{\n ($json.body.commits ?? []).some(c =>\n [ ...(c.added ?? []), ...(c.modified ?? []), ...(c.removed ?? []) ]\n .some(f => String(f).toLowerCase().includes('changelog'))\n )\n}}",
"rightValue": "="
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"typeVersion": 2.2
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"name": "何もしない(No Operation)",
"type": "n8n-nodes-base.noOp",
"position": [
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],
"parameters": {},
"typeVersion": 1
},
{
"id": "e35435d4-f3f8-44f1-ac78-21efda7076ac",
"name": "集約",
"type": "n8n-nodes-base.aggregate",
"position": [
560,
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],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "82c95a95-4a00-405d-a826-9c387a3f76be",
"name": "基本LLMチェーン",
"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チャットモデル",
"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": "構造化出力パーサー",
"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": "ツイート投稿",
"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": "付箋",
"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": "付箋1",
"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": "付箋2",
"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": "付箋3",
"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"
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"name": "READMEファイル抽出",
"type": "n8n-nodes-base.extractFromFile",
"position": [
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"parameters": {
"options": {},
"operation": "text"
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"typeVersion": 1
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{
"id": "a61fd00a-34f2-4e8b-bdf5-7e9c686f58ed",
"name": "CHANGELOGファイル抽出",
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"position": [
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"parameters": {
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"operation": "text"
},
"typeVersion": 1
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}このワークフローの使い方は?
上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。
このワークフローはどんな場面に適していますか?
上級 - マルチモーダルAI
有料ですか?
このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス(OpenAI APIなど)は別途料金が発生する場合があります。
関連ワークフロー
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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