starchild-ai-agent/@554/news-aggregator-skill

News Aggregator Skill

Fetch real-time hot news from 28 sources, generate deep analysis reports in Chinese.

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🔄 Universal Workflow (3 Steps)

Every news request follows the same workflow, regardless of source or combination:

Step 1: Fetch Data

# Single source
python3 skills/news-aggregator-skill/scripts/fetch_news.py --source <source_key> --no-save

# Multiple sources (comma-separated)
python3 skills/news-aggregator-skill/scripts/fetch_news.py --source hackernews,github,wallstreetcn --no-save

# All sources (broad scan)
python3 skills/news-aggregator-skill/scripts/fetch_news.py --source all --limit 15 --deep --no-save

# With keyword filter (auto-expand: "AI" → "AI,LLM,GPT,Claude,Agent,RAG")
python3 skills/news-aggregator-skill/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/<source>_report.md, then display the full content to the user.

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📰 Unified Report Template

All sources use this single template. Show/hide optional fields based on data availability.

#### N. [标题 (中文翻译)](https://original-url.com)
- **Source**: 源名 | **Time**: 时间 | **Heat**: 🔥 热度值
- **Links**: [Discussion](hn_url) | [GitHub](gh_url)     ← 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](hn_url) link | | GitHub | Use 🌟 Stars for Heat, add Lang field, add #Tags in Deep Dive | | Hugging Face | Use 🔥 +N upvotes for Heat, include [GitHub](url) if present, write 深度解读 (not just translate abstract) | | Weibo | Preserve exact heat text (e.g. "108万") |

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🛠️ 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 skills/news-aggregator-skill/scripts/daily_briefing.py --profile <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.

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⚠️ Rules (Strict)

1. Language: ALL output in Simplified Chinese (简体中文). Keep well-known English proper nouns (ChatGPT, Python, etc.).
2. Time: MANDATORY field. Never skip. If missing in JSON, mark as "Unknown Time". Preserve "Real-time" / "Today" / "Hot" as-is.
3. Anti-Hallucination: Only use data from the JSON. Never invent news items. Use simple SVO sentences. Do not fabricate causal relationships.
4. Smart Keyword Expansion: When user says "AI" → auto-expand to "AI,LLM,GPT,Claude,Agent,RAG,DeepSeek". Similar expansions for other domains.
5. Smart Fill: If results < 5 items in a time window, supplement with high-value items from wider range. Mark supplementary items with ⚠️.
6. Save: Always save report to reports/YYYY-MM-DD/ before displaying.

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📋 Interactive Menu

When the user says "如意如意" or asks for "menu/help":

1. Read skills/news-aggregator-skill/templates.md
2. Display the menu
3. Execute the user's selection using the Universal Workflow above

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Requirements

• Python 3.8+, pip install -r skills/news-aggregator-skill/requirements.txt
• Playwright (for HF Papers & Ben's Bites): playwright install chromium