bestblogs-article-recommender

What problem does it solve?

Many editors and curators need concise, accurate, and platform-ready recommendation texts for BestBlogs content in both Chinese and English; producing these manually is time-consuming and error-prone. This Skill automates extraction of metadata and article text, analyzes core points, and composes two differentiated recommendation versions (standard and concise) with strict writing and terminology guidelines to speed up curation and weekly selection workflows.

Core Features & Use Cases

• Bilingual outputs: Produce a Standard version (detailed) and a Concise version (scan-friendly) in both Chinese and English.
• Content sourcing: Fetch metadata and Markdown content in parallel from BestBlogs OpenAPI to ground recommendations in the original text.
• Batch processing & update: Process single or multiple IDs/links and optionally call the Admin API to update the article's featured reason after user confirmation.
• Quality controls: Enforce length, terminology, punctuation, and style rules; validate API responses and surface errors.
• Use case: Generate weekly curated descriptions for 20 selected articles and batch-publish the chosen version as the site's featured reason.

Quick Start

Generate two bilingual recommendation versions (standard and concise) for BestBlogs article 8a16b2e5 and ask whether to update the featured reason.