bestblogs-article-recommender

为 BestBlogs.dev 内容生成中英文推荐语并可更新到系统。适用场景:(1) 输入文章 ID 或链接生成推荐语,(2) 为周刊精选内容撰写推荐描述,(3) 批量生成内容推荐语,(4) 更新文章的推荐理由到 BestBlogs。触发短语:'生成推荐语', '写推荐理由', '推荐语', '推荐理由', '更新推荐理由', 'write recommendation', 'article recommendation', '帮我写推荐', 'generate recommendation', '内容推荐', '周刊描述', 'update featured reason', 'featured reason'。当用户提供 BestBlogs 内容 ID (如 8a16b2e5、RAW_8a16b2e5) 或链接 (如 https://www.bestblogs.dev/article/8a16b2e5) 并要求生成推荐语时触发。

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Download and install this skill https://openskills.cc/api/download?slug=ginobefun-skills-bestblogs-article-recommender&locale=en&source=copy

BestBlogs Article Recommendation Copy Generator

Skill Overview


An AI tool that automatically generates Chinese and English recommendation copy for BestBlogs.dev content. It supports quickly creating professional recommendation text through an article ID or link, with one-click updates to the system.

Use Cases

1. Weekly Newsletter and Featured Content Recommendations


When you need to write recommendation descriptions for a technical newsletter or curated collection, simply provide a BestBlogs article ID or link to quickly generate concise recommendation copy. The tool accurately extracts the article’s core value and highlights, helping readers quickly determine whether the content is worth reading.

2. Batch Recommendation Copy Generation


When recommendations are needed for a large number of articles, batch processing is supported. The tool retrieves data for multiple articles in parallel and generates recommendation copy, greatly improving content operations efficiency. It is especially suitable for content editors and knowledge community managers.

3. Updating Article Recommendation Reasons


Generated recommendation copy can be directly updated in the BestBlogs system, adding professional recommendation reasons to articles and improving the quality of content recommendations and the user experience. Chinese and English versions can be updated simultaneously.

Core Features

1. Intelligent Content Analysis and Recommendation Copy Generation


The tool automatically retrieves BestBlogs article metadata and full text, intelligently analyzes core viewpoints, key information, and unique value, and generates Chinese and English recommendation copy in two versions: a standard version (150–200 characters) and a concise version (80–120 characters), meeting different display requirements.

2. Adaptation to Multiple Content Types


The tool supports multiple content types, including articles, videos, podcasts, and tweets. It automatically adjusts the style and focus of the recommendation copy according to the content type. For example, videos include their duration and emphasize demonstration value, while podcasts highlight discussion topics and guest perspectives.

3. BestBlogs System Integration


The tool provides full API integration capabilities. Generated recommendation copy can be directly updated to the BestBarticles system through the Admin API, enabling a complete workflow from content analysis to recommendation copy updates and supporting both single-item and batch operations.

Frequently Asked Questions

What content types does the BestBlogs Recommendation Copy Generator support?


It supports four types: articles (ARTICLE), videos (VIDEO), podcasts (PODCAST), and tweets (TWITTER). The system automatically adjusts the focus of the recommendation copy according to the content type. For example, video content emphasizes demonstrations and the value of visual learning, while podcasts include the duration and discussion topics.

How do I generate recommendation copy using a BestBlogs article ID?


Simply provide the complete article link, such as https://www.bestblogs.dev/article/8a16b2e5, or the short ID, such as 8a16b2e5. The system automatically parses the ID, retrieves the article metadata and Markdown body in parallel, and generates Chinese and English recommendation copy based on content analysis.

Can the generated recommendation copy be automatically updated in the BestBlogs system?


Yes. After generating the recommendation copy, you can choose Version 1 or Version 2. The system uses the BestBlogs Admin API to directly update the recommendation reasons, including the Chinese recommendation copy (zhFeaturedReason) and English recommendation copy (enFeaturedReason).

Does the recommendation copy generator support batch processing?


Yes. When you provide multiple article IDs or links, the system sends API requests for all content in parallel and outputs two versions of recommendation copy for each item. It then asks which versions to update and performs the updates in batch, greatly improving processing efficiency.

What environment variables need to be configured for the recommendation copy generator?


BESTBLOGS_API_KEY is required to retrieve content data through the OpenAPI. If you need to update recommendation reasons, you must also configure BESTBLOGS_ADMIN_USER_ID and BESTBLOGS_ADMIN_JWT_TOKEN for Admin API calls.

Why does the generated recommendation copy include both Chinese and English versions?


BestBlogs is a content platform serving users worldwide. Providing bilingual recommendation copy allows the platform to serve users with different language backgrounds. Both versions are professionally optimized to accurately convey the content’s value while following the natural conventions of their respective languages.

How is the quality of the generated recommendation copy ensured?


The recommendation copy is generated based on the article’s actual metadata and full text, focusing on core viewpoints and key information while avoiding exaggeration and fabrication. The system follows strict writing standards to ensure natural, fluent language, accurate information, clear structure, and compliance with SEO best practices.

What use cases is the recommendation copy generator suitable for?


It is primarily suitable for content editors, technical newsletter operators, knowledge community managers, and content recommendation optimization for content platforms. Any task that involves writing recommendation copy for BestBlogs content or updating recommendation reasons can benefit from this tool’s improved efficiency and quality.