news-aggregator-skill

news-aggregator-skill

News Aggregator Skill Fetch real-time hot news from 28 sources, generate deep analysis reports in Chinese. 🔄 Universal Workflow (3 Steps) Every news request follows the same workflow, regardless of source or combination: Step 1: Fetch Data # Single source python3 scripts/fetch_news.py --source <source_key> --no-save # Multiple sources (comma-separated) python3 scripts/fetch_news.py --source hackernews,github,wallstreetcn --no-save # All sources (broad scan) python3 scripts/fetch_news.py --source all --limit 15 --deep --no-save # With keyword filter (auto-expand: "AI" → "AI,LLM,GPT,Claude,Agent,RAG") python3 scripts/fetch_news.py --source hackernews --keyword "AI,LLM,GPT" --deep --no-save Step 2: Generate Report Read the output JSON and format every item using the Unified Report Template below. Translate all content to Simplified Chinese. Step 3: Save & Present Save the report to reports/YYYY-MM-DD/_report.md, then display the full content to the user. 📰 Unified Report Template All sources use this single template. Show/hide optional fields based on data availability. #### N. 标题 (中文翻译) - Source: 源名 | Time: 时间 | Heat: 🔥 热度值 - Links: Discussion | GitHub ← 仅在数据存在时显示 - Summary: 一句话中文摘要。 - Deep Dive: 💡 Insight: 深度分析（背景、影响、技术价值）。 Source-Specific Adaptations Only the differences from the universal template: Source Adaptation Hacker News MUST include Discussion link GitHub Use 🌟 Stars for Heat, add Lang field, add #Tags in Deep Dive Hugging Face Use 🔥 +N upvotes for Heat, include GitHub if present, write 深度解读 (not just translate abstract) Weibo Preserve exact heat text (e.g. "108万") 🛠️ Tools fetch_news.py Arg Description Default --source Source key(s), comma-separated. See table below. all --limit Max items per source 15 --keyword Comma-separated keyword filter None --deep Download article text for richer analysis Off --save Force save to reports dir Auto for single source --outdir Custom output directory reports/YYYY-MM-DD/ Available Sources (28) Category Key Name Global News hackernews Hacker News 36kr 36氪 wallstreetcn 华尔街见闻 tencent 腾讯新闻 weibo 微博热搜 v2ex V2EX producthunt Product Hunt github GitHub Trending AI/Tech huggingface HF Daily Papers ai_newsletters All AI Newsletters (aggregate) bensbites Ben's Bites interconnects Interconnects (Nathan Lambert) oneusefulthing One Useful Thing (Ethan Mollick) chinai ChinAI (Jeffrey Ding) memia Memia aitoroi AI to ROI kdnuggets KDnuggets Podcasts podcasts All Podcasts (aggregate) lexfridman Lex Fridman 80000hours 80,000 Hours latentspace Latent Space Essays essays All Essays (aggregate) paulgraham Paul Graham waitbutwhy Wait But Why jamesclear James Clear farnamstreet Farnam Street scottyoung Scott Young dankoe Dan Koe daily_briefing.py (Morning Routines) Pre-configured multi-source profiles: python3 scripts/daily_briefing.py --profile Profile Sources Instruction File general HN, 36Kr, GitHub, Weibo, PH, WallStreetCN instructions/briefing_general.md finance WallStreetCN, 36Kr, Tencent instructions/briefing_finance.md tech GitHub, HN, Product Hunt instructions/briefing_tech.md social Weibo, V2EX, Tencent instructions/briefing_social.md ai_daily HF Papers, AI Newsletters instructions/briefing_ai_daily.md reading_list Essays, Podcasts (Use universal template) Workflow: Execute script → Read corresponding instruction file → Generate report following both the instruction file AND the universal template. ⚠️ Rules (Strict) Language: ALL output in Simplified Chinese (简体中文). Keep well-known English proper nouns (ChatGPT, Python, etc.). Time: MANDATORY field. Never skip. If missing in JSON, mark as "Unknown Time". Preserve "Real-time" / "Today" / "Hot" as-is. Anti-Hallucination: Only use data from the JSON. Never invent news items. Use simple SVO sentences. Do not fabricate causal relationships. Smart Keyword Expansion: When user says "AI" → auto-expand to "AI,LLM,GPT,Claude,Agent,RAG,DeepSeek". Similar expansions for other domains. Smart Fill: If results < 5 items in a time window, supplement with high-value items from wider range. Mark supplementary items with ⚠️. Save: Always save report to reports/YYYY-MM-DD/ before displaying. 📋 Interactive Menu When the user says "如意如意" or asks for "menu/help": Read templates.md Display the menu Execute the user's selection using the Universal Workflow above Requirements Python 3.8+, pip install -r requirements.txt Playwright (for HF Papers & Ben's Bites): playwright install chromium Weekly Installs2.9KRepositorycclank/news-agg…or-skillGitHub Stars841First SeenJan 20, 2026Security AuditsGen Agent Trust HubFailSocketPassSnykWarnInstalled onopencode2.7Kgemini-cli2.6Kcodex2.5Kcursor2.5Kgithub-copilot2.4Kkimi-cli2.3K