Block 1 - Webhook
- Type / Role
- n8n-nodes-base.webhook - webhook
- Config choices
- Version 2
This workflow is provided as-is. Please review and test before using in production.
Generate social posts from GitHub pushes to Twitter and LinkedIn On each GitHub push , this workflow checks if the commit set includes README.md and CHANGELOG.md , fetches both files, lets an LLM g...
n8n-nodes-base.webhook, n8n-nodes-base.merge, n8n-nodes-base.github, n8n-nodes-base.if, n8n-nodes-base.noop, n8n-nodes-base.aggregate, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.lmchatopenai
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jorge Martínez.
Original n8n.io sourceOn 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).
tweet.read tweet.write users.read offline.access.w_member_social, openid.GitHub Webhook: Repo → Settings → Webhooks
https://<your-n8n-domain>/webhook/github/pushapplication/json • Event: Push • Secret (optional) • Branches as needed.Credentials: Connect GitHub, OpenAI, Twitter, and LinkedIn (Person).
README and CHANGELOG appear in added/modified.README.md and CHANGELOG.md.twitter and linkedin.This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Auto-generate social posts from GitHub README/CHANGELOG updates with GPT-4o and OAuth |
|---|---|
| Complexity | advanced |
| Nodes | 18 |
| Categories | Multimodal AI |
| Author | Jorge Martínez |
| Published | 19 Aug 2025 |
Use the JSON export at /data/workflows/7562/7562.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Generate social posts from GitHub pushes to Twitter and LinkedIn On each GitHub push , this workflow checks if the commit set includes README.md and CHANGELOG.md , fetches both files, lets an LLM g...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Multimodal AI use case.