content-pipeline

Automating multi-platform content publishing requires a structured pipeline that orchestrates material intake, writing, formatting, and distribution. This Skill handles end-to-end workflows by using YAML frontmatter configuration and modular scripts to package and distribute content across platforms like WeChat and Xiaohongshu.

Yes, converting WeChat articles into Xiaohongshu carousels, Jike posts, and podcast scripts is supported. The Skill takes existing WeChat content and automatically reformats it into distinct layouts and text structures required for other target platforms.

Orchestrating an end-to-end content production workflow involves coordinating material collection, AI writing, design, and packaging. This Skill uses Claude Code to drive the entire process, enforcing structured pipelines with robust error handling to ensure consistent content delivery.

Yes, Node, Bun, and TypeScript are required dependencies to run the automation scripts. The Skill relies on this specific technical stack to execute its modular scripts and manage the manifest-driven distribution process effectively.

YAML frontmatter configuration drives multi-platform distribution by defining platform-specific variables and structural rules within the content files. The pipeline reads this metadata to automatically format and route the output to the correct platforms.

Handling multi-platform formatting with local content overrides requires using a local/ directory for privacy-security isolation. Limitations include ensuring strict adherence to the YAML frontmatter template structure to prevent manifest-driven distribution errors across platforms.