Générer des publications sociales Twitter et LinkedIn à partir de poussées GitHub

• •Personal Access Token GitHub
• •Informations d'identification Twitter API
• •Point de terminaison HTTP Webhook (généré automatiquement par n8n)
• •Informations d'identification LinkedIn API
• •Clé API OpenAI

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              "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"
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        "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"
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        "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"
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        "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"
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        "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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