[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-fec2323e-74c3-4d6f-9cb1-8b8f65d4405d":3,"$feWrcyAo6BajmkFF-ra_-6yuISOtFIF2G7WogUHhXTGM":42},{"id":4,"title":5,"description":6,"categoryId":7,"moduleId":8,"tags":9,"prompt":10,"icon":11,"source":12,"sourceUrl":13,"authorId":14,"authorName":15,"isPublic":16,"stars":17,"runs":18,"createdAt":19,"updatedAt":19,"module":20,"category":27,"packages":33},"fec2323e-74c3-4d6f-9cb1-8b8f65d4405d","news-sentiment-engine","多源RSS新闻聚合，配备Claude驱动的情感分析和结构化摘要输出","cat_coding_backend","mod_coding","sickn33,coding","---\nname: news-sentiment-engine\ndescription: Multi-source RSS news aggregation with Claude-powered sentiment analysis and structured briefing output\ncategory: research\nrisk: safe\nsource: community\nsource_repo: tellmefrankie\u002Fnews-engine\nsource_type: community\ndate_added: \"2026-05-13\"\nauthor: tellmefrankie\ntags: [news, rss, sentiment-analysis, briefing, research]\ntools: [claude, websearch]\n---\n# News Sentiment Engine (Free)\n\nCollect and analyze AI\u002Ftech news from multiple sources with Claude-powered sentiment analysis. Open source lite version.\n\n## When to Use\n\n- Use when preparing a concise AI or technology news briefing from multiple RSS sources.\n- Use when you need ranked article summaries with sentiment, tags, and impact scoring.\n- Use when monitoring industry changes across product launches, policy moves, and infrastructure shifts.\n- Use when deduplicating overlapping coverage before writing a daily or weekly briefing.\n\n## What it does\n\n- Collects news from 4+ RSS feeds (TechCrunch, The Verge, Ars Technica, Hacker News)\n- Deduplicates articles across sources\n- Ranks by importance (industry impact, technology trends, policy changes)\n- Generates structured briefing with sentiment tags\n- Outputs formatted briefing card\n\n## Usage\n\n```\nCollect latest AI\u002Ftech news from RSS feeds.\nRank top 5 by importance to the tech industry.\nFor each: summary (2-3 sentences), sentiment (positive\u002Fnegative\u002Fneutral),\nimpact score (1-5), industry tags, one-sentence commentary.\nOutput as a structured briefing card.\n```\n\n## Example Output\n\n```\nAI\u002FTech News Briefing — 2026-05-13\n\n1. OpenAI announces GPT-5 with 2M context window\n   Source: TechCrunch | Impact: 5\u002F5\n   Tags: #AI #LLM #OpenAI\n   Sentiment: Positive\n\n   Summary: OpenAI unveiled GPT-5 with a 2M token context window and\n   improved reasoning. Enterprise pricing starts at $0.03\u002F1k tokens.\n\n   Commentary: Direct competitive pressure on Anthropic Claude 3.5.\n   Enterprise deals may shift in H2 2026.\n\n2. EU AI Act enforcement begins for high-risk systems\n   Source: The Verge | Impact: 4\u002F5\n   Tags: #Regulation #EU #Compliance\n   Sentiment: Neutral\n```\n\n## Output Format\n\nFor each article:\n- Title + source + publish date\n- Summary (2-3 sentences)\n- Industry tags: [AI, Semiconductor, Cloud, etc.]\n- Sentiment: Positive\u002FNegative\u002FNeutral\n- Impact score: 1-5\n- Commentary: 1-sentence industry perspective\n\n## Setup\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002Ftellmefrankie\u002Fnews-engine\ncd news-engine\npnpm install\ncp .env.example .env\n# Requires: ANTHROPIC_API_KEY\npnpm dev -- --collect-only\n```\n\nNo paid APIs required for free tier. Anthropic API key only.\n\n## Limitations\n\n- RSS feeds can lag, disappear, throttle, or duplicate syndicated coverage.\n- Sentiment and impact scores are briefing aids, not authoritative market or policy analysis.\n- The example setup runs third-party code; review the repository and environment variables before use.\n- Outputs should be cross-checked against original article sources before publication or investment use.\n\n## Pro Version\n\nFree tier covers news collection and basic analysis.\n\n**Full bundle — $29 one-time**: Investment-grade analysis (portfolio impact scoring, options flow correlation, earnings catalyst detection), Telegram auto-delivery.\n→ https:\u002F\u002Fjaehyunpark.gumroad.com\u002Fl\u002Ftcyahy\n\n## Author\n\nCore module from a production news analysis engine processing 50+ articles daily since 2026.\n","","imported","https:\u002F\u002Fgithub.com\u002Fsickn33\u002Fantigravity-awesome-skills","user_system_seed","SkillOPIC",true,153,893,"2026-05-16 13:30:52",{"id":8,"name":21,"slug":22,"icon":23,"description":24,"sort":25,"createdAt":26},"编程开发","coding","mdi-code-braces","代码生成、调试、审查，提升开发效率",2,"2026-05-16 12:53:40",{"id":7,"name":28,"slug":29,"icon":30,"description":31,"moduleId":8,"sort":25,"skillCount":32,"createdAt":26},"后端开发","backend","mdi-server","API、数据库、服务端架构",296,[34],{"id":35,"skillId":4,"version":36,"fileName":37,"fileSize":38,"filePath":39,"fileHash":40,"manifest":41,"createdAt":19},"2726b24f-fcc2-420c-993b-24a4fb3bfccb","1.0.0","news-sentiment-engine.zip",1764,"uploads\u002Fskills\u002Ffec2323e-74c3-4d6f-9cb1-8b8f65d4405d\u002Fnews-sentiment-engine.zip","40a78f0a0a52984e31bb86666209c86d6777ac525a5a210290527601bdfa1c78","[{\"path\":\"SKILL.md\",\"isDirectory\":false,\"size\":3398}]",{"code":43,"message":44,"data":45},200,"success",{"items":46,"stats":47,"page":50},[],{"averageRating":48,"totalRatings":48,"ratingCounts":49},0,[48,48,48,48,48],{"limit":51,"offset":48,"hasMore":52,"nextOffset":51,"ratedOnly":16},15,false]