Agent skill

aggregated-search

View SKILL.md on GitHub Repository
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Forks 3

Install this agent skill to your Project

npx add-skill https://github.com/tsaol/awesome-claude/tree/main/skills/aggregated-search

SKILL.md

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:

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

Step 3: Aggregate & Deduplicate

  1. Merge all results
  2. Deduplicate by URL and title similarity (>80% = duplicate)
  3. Sort by: relevance score, date, engagement
  4. 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

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