daily-content-curator

Daily Content Curator - Daily Content Topic Selection and Creation Assistant

Skill Overview

Daily Content Curator is an intelligent content planning tool that integrates two data sources—BestBlogs and Twitter (XGo)—to automatically select 30 high-quality topics based on personal interests and generate multi-platform content suitable for social media publishing. It is designed for developers, content creators, and social media operators.

Use Cases

1. Daily Content Topic Generation

Launch the skill every morning to discover technical topics and trending content worth discussing that day. The system automatically filters out low-quality content, excludes duplicate topics recommended within the past three days, and categorizes the results into three dimensions: “Worth Exploring in Depth,” “Suitable for Engagement,” and “Suitable for Quick Takes.” It is especially useful for developer bloggers, technology-focused creators, and knowledge sharers who need to publish content consistently.

2. Social Media Content Filtering and Engagement

Quickly identify topics worth discussing from a vast volume of Twitter posts and BestBlogs articles, and receive suggestions for engagement angles. The skill automatically aggregates multiple perspectives on the same topic, highlights points of contention and discussion intensity, and helps you find valuable opportunities for reposts and comments. It is suitable for tech professionals active on platforms such as Twitter and Jike.

3. Lightweight Content Creation and Multi-Platform Adaptation

Based on selected topics, generate one- or two-sentence quick takes or 300–500-character posts, automatically adapting them to the stylistic characteristics of Twitter, WeChat Moments, Xiaohongshu, Jike, and other platforms. The creation process follows the principle of “authentic expression + reader value” and avoids hollow marketing language. It is ideal for indie developers and creators who need to produce high-quality content quickly.

Core Features

1. Multi-Source Data Aggregation and Intelligent Scoring

In parallel, request seven categories of content from BestBlogs (AI, programming, business technology, product design, podcasts, videos, and posts) as well as followed-user posts and recommended content from XGo. High-quality topics are then selected through a five-dimensional scoring system. The score considers baseline quality (30%), personal interest alignment (25%), potential for reader resonance (20%), engagement potential (15%), and timeliness (10%). The system automatically deduplicates URLs, cross-source posts, and historical recommendations to ensure that recommended content is unique and fresh.

2. Topic Clustering and Categorized Output

Automatically group content discussing the same product, event, or technical concept into topic clusters. Each topic cluster includes a topic name, key content, related discussions, and a popularity level. Results are categorized into three groups based on content characteristics: Worth Exploring in Depth (8–10 items, with high overall scores and substantial depth), Suitable for Engagement (10–12 items, with discussion value or controversy), and Suitable for Quick Takes (8–10 items, with high information density and suitability for rapid sharing). Each topic is labeled with its recommendation score, interest alignment, and reader value.

3. Lightweight Content Generation and Platform Adaptation

Based on the user’s selected topics, generate quick takes or posts that match their personal style profile. The skill supports style adaptation for multiple platforms, including Twitter, WeChat Moments, Xiaohongshu, and Jike. It follows the structure of “conclusion first, then reasons, then what to do,” uses a plain and friendly tone, and preserves authenticity and expressions of uncertainty. All content is reviewed against pre-generation and post-generation checklists to ensure compliance with the core principle of “authentic expression + reader value” and to avoid fearmongering or a preachy tone.

Frequently Asked Questions

What API keys does Daily Content Curator require?

Using this skill requires configuring two API keys: BESTBLOGS_API_KEY (the BestBlogs OpenAPI key) and XGO_API_KEY (the XGo open API key). BestBlogs is used to retrieve articles, podcasts, videos, and posts, while XGo is used to retrieve followed-user and recommended Twitter posts. If only one API key is available, the skill will select content from the corresponding single data source and inform the user. API keys are passed through the X-API-KEY HTTP header.

How can I configure my personal interests to improve recommendation accuracy?

The skill includes default interest settings. High-priority interests include AI agents/coding, Claude Code, MCP, LLM applications, prompt engineering, distributed systems, and more. You can modify the interest-matching rules in the skill file or create a gino-bot/USER.md file to override the default settings. Interest alignment accounts for 25% of the total score and directly affects recommendation results. In addition, the skill can read the optional contents/content-strategy.md file (generated by content-analytics) to incorporate topic weights and source preferences.

What types of content creators is this tool suitable for?

Daily Content Curator is particularly suitable for creators in the technology space, including developer bloggers, indie developers, technology-focused creators, product managers, and knowledge sharers. If you need to consistently publish technology-related content, want to quickly discover valuable topics from a vast amount of information, and prioritize authentic expression over marketing language, this tool is a good fit. It is not a bulk content generator; instead, it helps you filter for topics with depth and discussion value, then generate lightweight content with reader value based on your personal experience. It is not suitable for scenarios that require large volumes of lightly rewritten content or that focus purely on traffic generation.