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tsaol/awesome-claude/aggregated-search

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version: "1.0.0"

Aggregated Search Skill

Multi-source content aggregation for hot topics research. Supports 15+ data sources.

Usage

/aggregated-search <keyword> [options]

Options:

--sources=all - Search all sources (default)
--sources=github,hn,reddit - Specific sources
--limit=50 - Max results per source (default: 50)
--days=7 - Content age limit in days (default: 7)
--lang=en - Language: en, zh, all (default: all)
--expand - Enable query expansion (auto-generate related terms)

Examples:

/aggregated-search "agentic AI"
/aggregated-search "LLM agents" --sources=github,hn,arxiv
/aggregated-search "大模型" --sources=chinese --lang=zh
/aggregated-search "RAG" --limit=100 --days=30

Supported Sources (15+)

Code & Projects

Source	File	API	Free
GitHub	github.md	gh api	✅
Papers With Code	papers-with-code.md	REST	✅

Tech Communities

Source	File	API	Free
Hacker News	hackernews.md	Algolia	✅
Reddit	reddit.md	JSON	✅
DEV.to	devto.md	REST	✅
Product Hunt	producthunt.md	GraphQL	✅

Academic

Source	File	API	Free
ArXiv	arxiv.md	XML	✅
Semantic Scholar	semantic-scholar.md	REST	✅
Papers With Code	papers-with-code.md	REST	✅

News & Media

Source	File	API	Free
Tech News (Multi)	tech-news.md	WebFetch	✅
Medium	medium.md	WebFetch	✅

Chinese Sources (中文源)

Source	File	API	Free
36氪/少数派/掘金/知乎/机器之心	chinese-tech.md	Mixed	✅

Social Media

Source	File	API	Free
Twitter/X	twitter.md	Nitter	✅
YouTube	youtube.md	WebFetch	✅

Meta Search (Recommended)

Source	File	API	Free
Tavily	tavily.md	REST	1000/mo

Source Groups

Use these shortcuts for common combinations:

Group	Sources
`--sources=code`	github, papers-with-code
`--sources=community`	hn, reddit, devto
`--sources=academic`	arxiv, semantic-scholar, papers-with-code
`--sources=news`	tavily, tech-news, medium
`--sources=chinese`	36kr, sspai, juejin, zhihu, jiqizhixin
`--sources=social`	twitter, youtube, producthunt
`--sources=all`	All sources

Workflow

Step 0: Query Expansion (if --expand)

If --expand is enabled, generate related terms before searching:

Original: "agentic commerce"
    ↓
Expanded (max 5):
  - agentic commerce (original)
  - AI shopping agent
  - conversational commerce
  - e-commerce AI assistant
  - 智能购物

Use the prompt in sources/query-expansion.md to generate max 4 related terms (5 total).

Step 1: Parse Input

Extract keyword, sources, limit, days, language from user input.

Step 2: Parallel Search

CRITICAL: Search all sources in parallel using multiple tool calls in a single message.

For each source:

Read source instruction from sources/{source}.md
Execute API call or WebFetch
Parse results

Step 3: Aggregate & Deduplicate

Merge all results
Deduplicate by URL and title similarity (>80% = duplicate)
Sort by: relevance score, date, engagement
Tag with source name

Step 4: Output

Generate raw/aggregated.md:

markdown

# Aggregated Search: {keyword}
 
**Sources:** {count} sources searched
**Results:** {total} unique items
**Generated:** {timestamp}
 
---
 
## Summary (via Tavily AI)
> AI-generated summary of the topic...
 
## GitHub ({count})
| # | Repository | Stars | Description |
|---|------------|-------|-------------|
 
## Hacker News ({count})
| # | Title | Points | Comments |
|---|-------|--------|----------|
 
## Academic Papers ({count})
| # | Title | Year | Citations |
|---|-------|------|-----------|
 
## News & Blogs ({count})
| # | Title | Source | Date |
|---|-------|--------|------|
 
## Chinese Sources ({count})
| # | 标题 | 来源 | 日期 |
|---|------|------|------|
 
---
 
## Statistics
-Total sources: {sources_count}
-Total results: {total_count}
-Unique results: {unique_count}
-Date range: {earliest} to {latest}

Environment Variables

bash

# Required for full functionality
export TAVILY_API_KEY="your-key"        # Tavily search
 
# Optional
export YOUTUBE_API_KEY="your-key"       # YouTube API
export TWITTER_BEARER_TOKEN="your-key"  # Twitter API (paid)
export PRODUCTHUNT_TOKEN="your-key"     # Product Hunt API

Integration

Works with ai-writing hottrend pipeline:

/aggregated-search "topic"
        ↓
  raw/aggregated.md
        ↓
  hottrend-draft agent
        ↓
  output/v1_draft.md

All versions