Learn Claude Code: https://www.udemy.com/course/claude-c...
Work with me: https://limitless-ai-solutions.com
All FREE resources of the video: https://drive.google.com/drive/folder...
Link to Key.ai for the image generation:
https://kie.ai?ref=9fc63ea6dba564d72d...
In this video, I’m showing you how I built a custom Claude Code Skill that handles the entire content creation pipeline for your LinkedIn. This isn't just a prompt; it’s a full agentic workflow that writes in your voice, selects a visual format, generates a branded infographic using an AI image model, and publishes directly to LinkedIn via OAuth.
I’ve become obsessive about removing unnecessary manual steps from my workflow, and this setup genuinely surprised me with how clean and reliable the output is. I’ll walk you through the logic "under the hood" and show you exactly how to navigate the LinkedIn Developer Portal so you can bridge the gap between AI generation and actual publishing.
What we cover in this tutorial:
Live Demonstration: Watch Claude Code take a single sentence and turn it into a live LinkedIn post in real-time.
The System Architecture: How the skill triggers text generation, image prompting, and API tools simultaneously.
LinkedIn Developer Setup: A step-by-step walkthrough of creating your app, setting up OAuth redirect URLs and managing your Client_ID and Client_Secret.
Environment Variables: How to securely store your credentials in a .env file so Claude can act on your behalf.
Product Permissions: Which specific LinkedIn API products you need to request access to (and how to bypass the confusing parts of the application).
The Master Prompt: Stay until the end where I give you the full system prompt to install this skill into your own Claude Code environment.
By the end of this video, you won’t just have a cool automation—you’ll have a professional-grade distribution engine that lets you focus on ideas while Claude handles the execution.
Sponsorship Inquiries:
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The mentioned Authorized redirect URLs for your LinkedIn app:
/ redirect
http://localhost:3000/callback