news-aggregator-skill

Name: news-aggregator-skill
Author: cclank

Fetch and analyze real-time news from 28 global, AI, finance, and podcast sources with deep Chinese-language reports. Supports 28 sources across six categories: global news (Hacker News, GitHub, Weibo), AI/tech (Hugging Face Papers, newsletters), finance (WallStreetCN), podcasts, and essays Three-step universal workflow: fetch data with keyword filtering, generate unified markdown reports in Simplified Chinese, and save to timestamped directories Pre-configured daily briefing profiles (general, finance, tech, social, AI, reading list) for common news routines Interactive menu mode triggered by "如意如意" command; smart keyword expansion (e.g., "AI" auto-expands to include LLM, GPT, Claude, Agent, RAG, DeepSeek)

INSTALLATION

npx skills add https://github.com/cclank/news-aggregator-skill --skill news-aggregator-skill

Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

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 &#x26; Present

Save the report to `reports/YYYY-MM-DD/<source>_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](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")

## 🛠️ 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>