sergebulaev/linkedin-skills Trends on GitHub with AI-Powered LinkedIn Automation Skills
The open-source repository sergebulaev/linkedin-skills gained over 2,500 GitHub stars this month. It provides a collection of 11 modular skills designed for Claude Code and Codex to automate LinkedIn post drafting, comment generation, feed analysis, and publication scheduling from the command line. The project highlights how developers are extending agentic CLI tools like Claude Code beyond traditional software engineering into specialized content creation workflows. It demonstrates the growing popularity of packaging prompt engineering patterns into reusable agent skills. Released under the MIT license, the repository provides pre-configured prompt structures and execution scripts for terminal-based LLM agents. While popular among creators, the technical complexity is relatively low as it relies primarily on prompt templates rather than custom AI model development.
## BACKGROUND
Agent skills are standardized packages, often anchored by a SKILL.md file, that give AI models contextual instructions to perform specific tasks. Tools like Claude Code are terminal-native AI agents developed by Anthropic that can execute code, modify files, and run workflows directly within a developer's local environment.