News Aggregator Skill

---

name: news-aggregator-skill

description: "Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 8 major sources: Hacker News, GitHub Trending, Product Hunt, 36Kr, Tencent News, WallStreetCN, V2EX, and Weibo. Best for 'daily scans', 'tech news briefings', 'finance updates', and 'deep interpretations' of hot topics."

---

# News Aggregator Skill

Fetch real-time hot news from multiple sources.

Tools

fetch_news.py

**Usage:**

### Single Source (Limit 10)

Global Scan (Option 12) - **Broad Fetch Strategy**

> **NOTE**: This strategy is specifically for the "Global Scan" scenario where we want to catch all trends.

#  1. Fetch broadly (Massive pool for Semantic Filtering)
python3 scripts/fetch_news.py --source all --limit 15 --deep

# 2. SEMANTIC FILTERING:
# Agent manually filters the broad list (approx 120 items) for user's topics.

Single Source & Combinations (Smart Keyword Expansion)

**CRITICAL**: You MUST automatically expand the user's simple keywords to cover the entire domain field.

* User: "AI" -> Agent uses: `--keyword "AI,LLM,GPT,Claude,Generative,Machine Learning,RAG,Agent"`

* User: "Android" -> Agent uses: `--keyword "Android,Kotlin,Google,Mobile,App"`

* User: "Finance" -> Agent uses: `--keyword "Finance,Stock,Market,Economy,Crypto,Gold"`

# Example: User asked for "AI news from HN" (Note the expanded keywords)
python3 scripts/fetch_news.py --source hackernews --limit 20 --keyword "AI,LLM,GPT,DeepSeek,Agent" --deep

Specific Keyword Search

Only use `--keyword` for very specific, unique terms (e.g., "DeepSeek", "OpenAI").

python3 scripts/fetch_news.py --source all --limit 10 --keyword "DeepSeek" --deep

**Arguments:**

**Output:**

JSON array. If `--deep` is used, items will contain a `content` field associated with the article text.

Interactive Menu

When the user says **"news-aggregator-skill 如意如意"** (or similar "menu/help" triggers):

1. **READ** the content of `templates.md` in the skill directory.

2. **DISPLAY** the list of available commands to the user exactly as they appear in the file.

3. **GUIDE** the user to select a number or copy the command to execute.

Smart Time Filtering & Reporting (CRITICAL)

If the user requests a specific time window (e.g., "past X hours") and the results are sparse (< 5 items):

1. **Prioritize User Window**: First, list all items that strictly fall within the user's requested time (Time < X).

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.

2. **Annotation**: Clearly mark these older items (e.g., "⚠️ 18h ago", "🔥 24h Hot") so the user knows they are supplementary.

3. **High Value**: Always prioritize "SOTA", "Major Release", or "High Heat" items even if they slightly exceed the time window.

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".

* **Deep Analysis (Required)**: For EACH item, you **MUST** leverage your AI capabilities to analyze:

* **Core Value (核心价值)**: What specific problem does it solve? Why is it trending?

* **Inspiration (启发思考)**: What technical or product insights can be drawn?

* **Scenarios (场景标签)**: 3-5 keywords (e.g. `#RAG #LocalFirst #Rust`).

6. Response Guidelines (CRITICAL)

**Format & Style:**

- **Global Headlines**: Top 3-5 most critical stories across all domains.

- **Tech & AI**: Specific section for AI, LLM, and Tech items.

- **Finance / Social**: Other strong categories if relevant.

- **Title**: **MUST be a Markdown Link** to the original URL.

- ✅ Correct: `### 1. [OpenAI Releases GPT-5](https://...)`

- ❌ Incorrect: `### 1. OpenAI Releases GPT-5`

- **Metadata Line**: Must include Source, **Time/Date**, and Heat/Score.

- **1-Liner Summary**: A punchy, "so what?" summary.

- **Deep Interpretation (Bulleted)**: 2-3 bullet points explaining *why* this matters, technical details, or context. (Required for "Deep Scan").

**Output Artifact:**