Aggregate multi-source news into bilingual Markdown daily briefs.
npx skills add https://github.com/sandmark78/workspace --skill horizon-news
Please help me install this Agent Skill. Skill: horizon-news Source: https://github.com/sandmark78/workspace/tree/main/skills/horizon-news Command: npx skills add https://github.com/sandmark78/workspace --skill horizon-news
In a fast-moving information landscape, Horizon News aggregates and scores content from multiple sources to deliver concise, bilingual briefings that help teams stay informed without manual sifting.
Run the Horizon pipeline to generate today’s bilingual news brief from all configured sources.
High-intent search queries and answers about installing and using this skill.
Multi-source news aggregation ingests content from Hacker News, Reddit, RSS, Telegram, and GitHub, removes duplicates, and generates a concise bilingual Markdown daily digest. The pipeline applies AI scoring and web enrichment to top items.
AI scoring in news aggregation assigns a 0-10 value to ingested items based on relevance and quality. This mechanism filters low-value content automatically, ensuring only top-scored items receive web enrichment for deeper insights in the final report.
Bilingual news summaries generate daily Markdown reports in both English and Chinese. This pipeline fetches from multiple sources like Hacker News and Reddit, deduplicates content, and outputs structured bilingual briefs suitable for newsletters.
You need the uv dependency installed to run this multi-source news aggregation pipeline. It manages the environment required to fetch data from sources like GitHub and Telegram, apply AI scoring, and generate the final bilingual reports.
Monitoring tech trends across GitHub and Telegram is best handled by multi-source aggregation pipelines that ingest and deduplicate content. This approach applies AI scoring to rank items and enriches top results with web context for trend analysis.
Deduplicating news content from Reddit and RSS feeds is handled automatically during the ingestion phase of the aggregation pipeline. It cross-references items across all configured sources before applying AI scoring and generating the final bilingual report.
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