96 lines
4.9 KiB
Markdown
96 lines
4.9 KiB
Markdown
---
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name: news-aggregator-skill
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description: "综合新闻聚合器，从8个主要来源（Hacker News、GitHub Trending、Product Hunt、36Kr、腾讯新闻、华尔街见闻、V2EX和微博）获取、过滤和深度分析实时内容。最适合"每日扫描"、"科技新闻简报"、"财经更新"和热点话题的"深度解读"。"
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---
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# News Aggregator Skill
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Fetch real-time hot news from multiple sources.
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## Tools
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### fetch_news.py
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**Usage:**
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```bash
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### Single Source (Limit 10)
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```bash
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### Global Scan (Option 12) - **Broad Fetch Strategy**
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> **NOTE**: This strategy is specifically for the "Global Scan" scenario where we want to catch all trends.
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```bash
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# 1. Fetch broadly (Massive pool for Semantic Filtering)
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python3 scripts/fetch_news.py --source all --limit 15 --deep
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# 2. SEMANTIC FILTERING:
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# Agent manually filters the broad list (approx 120 items) for user's topics.
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```
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### Single Source & Combinations (Smart Keyword Expansion)
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**CRITICAL**: You MUST automatically expand the user's simple keywords to cover the entire domain field.
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* User: "AI" -> Agent uses: `--keyword "AI,LLM,GPT,Claude,Generative,Machine Learning,RAG,Agent"`
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* User: "Android" -> Agent uses: `--keyword "Android,Kotlin,Google,Mobile,App"`
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* User: "Finance" -> Agent uses: `--keyword "Finance,Stock,Market,Economy,Crypto,Gold"`
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```bash
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# Example: User asked for "AI news from HN" (Note the expanded keywords)
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python3 scripts/fetch_news.py --source hackernews --limit 20 --keyword "AI,LLM,GPT,DeepSeek,Agent" --deep
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```
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### Specific Keyword Search
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Only use `--keyword` for very specific, unique terms (e.g., "DeepSeek", "OpenAI").
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```bash
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python3 scripts/fetch_news.py --source all --limit 10 --keyword "DeepSeek" --deep
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```
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**Arguments:**
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- `--source`: One of `hackernews`, `weibo`, `github`, `36kr`, `producthunt`, `v2ex`, `tencent`, `wallstreetcn`, `all`.
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- `--limit`: Max items per source (default 10).
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- `--keyword`: Comma-separated filters (e.g. "AI,GPT").
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- `--deep`: **[NEW]** Enable deep fetching. Downloads and extracts the main text content of the articles.
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**Output:**
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JSON array. If `--deep` is used, items will contain a `content` field associated with the article text.
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## Interactive Menu
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When the user says **"news-aggregator-skill 如意如意"** (or similar "menu/help" triggers):
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1. **READ** the content of `templates.md` in the skill directory.
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2. **DISPLAY** the list of available commands to the user exactly as they appear in the file.
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3. **GUIDE** the user to select a number or copy the command to execute.
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### Smart Time Filtering & Reporting (CRITICAL)
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If the user requests a specific time window (e.g., "past X hours") and the results are sparse (< 5 items):
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1. **Prioritize User Window**: First, list all items that strictly fall within the user's requested time (Time < X).
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2. **Smart Fill**: If the list is short, you MUST include high-value/high-heat items from a wider range (e.g. past 24h) to ensure the report provides at least 5 meaningful insights.
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2. **Annotation**: Clearly mark these older items (e.g., "⚠️ 18h ago", "🔥 24h Hot") so the user knows they are supplementary.
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3. **High Value**: Always prioritize "SOTA", "Major Release", or "High Heat" items even if they slightly exceed the time window.
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4. **GitHub Trending Exception**: For purely list-based sources like **GitHub Trending**, strictly return the valid items from the fetched list (e.g. Top 10). **List ALL fetched items**. Do **NOT** perform "Smart Fill".
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* **Deep Analysis (Required)**: For EACH item, you **MUST** leverage your AI capabilities to analyze:
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* **Core Value (核心价值)**: What specific problem does it solve? Why is it trending?
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* **Inspiration (启发思考)**: What technical or product insights can be drawn?
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* **Scenarios (场景标签)**: 3-5 keywords (e.g. `#RAG #LocalFirst #Rust`).
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### 6. Response Guidelines (CRITICAL)
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**Format & Style:**
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- **Language**: Simplified Chinese (简体中文).
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- **Style**: Magazine/Newsletter style (e.g., "The Economist" or "Morning Brew" vibe). Professional, concise, yet engaging.
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- **Structure**:
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- **Global Headlines**: Top 3-5 most critical stories across all domains.
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- **Tech & AI**: Specific section for AI, LLM, and Tech items.
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- **Finance / Social**: Other strong categories if relevant.
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- **Item Format**:
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- **Title**: **MUST be a Markdown Link** to the original URL.
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- ✅ Correct: `### 1. [OpenAI Releases GPT-5](https://...)`
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- ❌ Incorrect: `### 1. OpenAI Releases GPT-5`
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- **Metadata Line**: Must include Source, **Time/Date**, and Heat/Score.
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- **1-Liner Summary**: A punchy, "so what?" summary.
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- **Deep Interpretation (Bulleted)**: 2-3 bullet points explaining *why* this matters, technical details, or context. (Required for "Deep Scan").
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**Output Artifact:**
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- Always save the full report to `reports/` directory with a timestamped filename (e.g., `reports/hn_news_YYYYMMDD_HHMM.md`).
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- Present the full report content to the user in the chat.
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