upload-reading

What problem does it solve?

This Upload Reading Skill streamlines turning translated Korean Markdown readings into a live, queryable content set. It parses frontmatter metadata, converts the content into ReadingContent objects, and updates the central readings and syllabus data so learners can access translated materials online.

Core Features & Use Cases

• Automated Markdown ingestion: Reads translated KR Markdown, parses sections, summaries, and YouTube-specific data into a consistent ReadingContent schema.
• Bimodal content support: Handles both simple single-page readings and hierarchical child pages (week/slug and week/parent/child) as well as YouTube content with optional summaries.
• Syllabus synchronization: Updates readings and translation status in syllabus.ts to reflect progress, enabling end-to-end content publishing.
• Workflow automation: Optional flags enable immediate publishing, draft creation, and selective content inclusion (quick/full for YouTube).

Quick Start

Use the upload-reading skill to publish a translated reading. For a single page: /upload-reading week1/how-openai-uses-codex. For a hierarchical page: /upload-reading week1/prompt-engineering-guide/zeroshot. You can choose to publish immediately with --publish, or keep as draft with --draft. For YouTube content, you can request a quick summary with --quick or full content with --full.