Aggregate and score Hacker News blog articles into a Markdown digest.
npx skills add https://github.com/vigorX777/ai-daily-digest --skill ai-daily-digest-vigorx777
Please help me install this Agent Skill. Skill: ai-daily-digest Source: https://github.com/vigorX777/ai-daily-digest/tree/main Command: npx skills add https://github.com/vigorX777/ai-daily-digest --skill ai-daily-digest-vigorx777
This Skill provides a structured daily summary of the latest technology news from 90 top Hacker News blogs, using AI to score and filter the content for relevance and quality.
Run the command /digest to generate the daily tech news summary.
High-intent search queries and answers about installing and using this skill.
To generate a daily tech news digest, run the /digest command to aggregate articles from 90 curated Hacker News blogs into a single summary. The Skill uses AI to score content quality and outputs a categorized Markdown file with Chinese translations.
AI scoring for tech news aggregation evaluates articles based on relevance, quality, and timeliness to filter daily content. It processes posts from top Hacker News blogs to ensure the final Markdown digest only includes high-value technology updates.
Yes, the daily Hacker News summary provides Chinese translations for article titles directly within the Markdown output. The digest groups categorized tech news articles and includes trend highlights alongside the translated content.
You need Bun, Node, or npx installed in your environment to execute the daily news digest script and aggregate the tech news. These dependencies are required to run the scripts that fetch, AI-score, and format the Hacker News articles into Markdown.
The best way to automatically summarize technology news is using an AI-driven aggregator that collects posts from 90 top tech blogs and scores them for quality. This approach filters out low-relevance content and outputs a structured Markdown daily digest with trend highlights.
A limitation of using AI scoring for daily Hacker News aggregation is that content evaluation is strictly automated, which may occasionally misjudge niche technical relevance. Additionally, the news sources are fixed to a curated list of 90 blogs, limiting the scope of tech news coverage.
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