media-optimizer

Multi-platform self-media publishing is automated by orchestrating modular skills that handle content generation, evaluation, and parallel posting to Twitter, Jike, Xiaohongshu, Zhihu, and Douyin, reducing manual effort.

Generating and evaluating content from Obsidian involves pulling notes from your knowledge base, then using a dedicated evaluation module to assess and rewrite the material before cross-platform distribution.

Yes, Python 3.10+ is required to run these automated social media workflows, providing the necessary environment for the modular architecture that handles content evaluation and multi-platform orchestration.

Collecting data analytics for Twitter and Xiaohongshu is supported after automated publishing, gathering metrics across the five distributed platforms to generate data reports for operational iteration.

The evaluation module works by assessing generated content against quality criteria, enabling automatic rewriting and optimization before the material is distributed to multiple social media platforms.

Automated multi-platform publishing is designed for individual creators and small teams, offering a data-driven operation workflow to quickly iterate and optimize content across multiple social platforms.