Summary

This repository provides a suite of 10 AI-powered "skills" for Claude Code and Codex, designed to automate and enhance LinkedIn marketing efforts. Targeting content creators, founders, and marketers, it enables human-sounding post generation, engagement-driving comments, feed analysis, and profile optimization, ultimately aiming to boost LinkedIn growth and presence.

How It Works

The project offers specialized skills that integrate directly with Claude Code and Codex environments. These skills employ natural language processing to understand user requests related to LinkedIn. Core functionalities rely on Python libraries for URL parsing, data retrieval via the Apify scraping platform, and content publishing through the Publora API, offering a robust workflow from drafting to distribution.

Quick Start & Requirements

Installation is straightforward across various Claude environments (CLI, Web, Desktop) via plugin marketplace commands or GitHub URL. For local development, cloning the repository and running setup scripts is supported. Key requirements include a Claude Code/Codex environment. Optional integrations necessitate API keys: APIFY_TOKEN for automated data fetching (Apify free tier offers ~$5/month credit) and PUBLORA_API_KEY with LINKEDIN_PLATFORM_ID for direct publishing (Publora free tier offers 15 posts/month). Python packages requests and python-dotenv are needed for Publora integration. Official documentation and setup guides are available within the repository.

Highlighted Details

• Comprehensive Skillset: Features 10 distinct skills including viral post drafting (utilizing 10 proven 2026 hook formulas), comment/reply generation, post auditing against AI detection and algorithm rules, text humanization, hook extraction, content planning, engagement monitoring, profile optimization, and employee advocacy program planning.
• Advanced AI Detection & Humanization: The Humanizer skill employs multiple AI detectors (GPTZero, Originality.ai, etc.) and targets specific AI linguistic patterns and stylistic choices to ensure content appears genuinely human-authored.
• Data Integration: Optional Apify integration automates the scraping of post details, comments, and engager data, with typical creator usage estimated under $2/month.
• Direct Publishing: Seamless integration with Publora allows for direct posting to LinkedIn and other social platforms, handling complex API requirements.

Maintenance & Community

No specific details regarding maintainers, community channels (e.g., Discord, Slack), or project roadmap were found in the provided README.

Licensing & Compatibility

The project is licensed under the MIT license, permitting broad use and modification. It is natively compatible with Claude Code and Codex, with documented integration paths for other agent frameworks like OpenClaw, Cursor, and LangChain, leveraging its Python libraries.

Limitations & Caveats

While offering extensive functionality, some advanced integrations (e.g., OpenClaw, Cursor) require manual configuration and prompt engineering. The effectiveness of AI-driven content relies on user input and oversight, and optional data scraping/publishing features depend on external API availability and potential costs beyond free tiers. The project focuses on current LinkedIn trends, referencing "2026" strategies.