Find Agents Skill

Performs intelligent web and specialized searches, aggregates multi-source results, and delivers summarized, cited answers with credibility scoring.

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name: find-agents version: 1.0.0 description: "AI-powered find agents that performs intelligent web searches, aggregates results, and provides summarized answers with source citations. Use when: user needs to find current information, research topics, verify facts, or gather data from multiple sources."

An intelligent AI-powered find agents that performs advanced web searches, aggregates results from multiple sources, and provides comprehensive, cited answers to user queries.

Overview

Find Agent is a powerful research tool that combines web search capabilities with AI summarization. It helps users quickly find accurate, up-to-date information from across the internet without manually browsing multiple websites.

Key Features

🔍 Multi-Source Search

• Web Search: Real-time search across major search engines
• News Search: Latest news and current events
• Academic Search: Scholarly articles and research papers
• Image Search: Visual content discovery
• Code Search: Programming solutions and documentation

🤖 AI-Powered Analysis

• Smart Summarization: Condenses multiple sources into coherent answers
• Fact Verification: Cross-references information across sources
• Source Credibility: Ranks sources by reliability and authority
• Context Understanding: Maintains conversation context for follow-up questions

📊 Result Organization

• Structured Output: Presents information in easy-to-read formats
• Citation Tracking: Every claim is backed by source links
• Confidence Scoring: Indicates reliability of information
• Related Topics: Suggests related queries for deeper exploration

Use Cases

1. Research & Learning

• Academic Research: Find scholarly articles and citations
• Topic Exploration: Get comprehensive overviews of complex subjects
• Fact Checking: Verify claims with multiple authoritative sources
• Learning New Skills: Find tutorials, documentation, and best practices

2. Professional Work

• Market Research: Gather industry trends and competitor information
• Technical Documentation: Find official docs and community solutions
• News Monitoring: Stay updated on relevant industry news
• Data Collection: Aggregate statistics and reports

3. Daily Life

• Product Research: Compare features, prices, and reviews
• Travel Planning: Find destinations, hotels, and local information
• Health Information: Access reliable medical and wellness information
• Current Events: Get summaries of breaking news and developments

Usage Examples

Basic Search

text

User: "What are the latest developments in quantum computing?"
Search Agent: Performs web search → Aggregates results → Provides summary with citations

Technical Query

text

User: "How to implement JWT authentication in Node.js?"
Search Agent: Searches code repositories → Finds tutorials → Provides code examples with sources

Fact Verification

text

User: "Is it true that Python is the most popular programming language in 2024?"
Search Agent: Cross-references multiple sources → Provides verified answer with statistics

News Search

text

User: "What happened in the tech industry this week?"
Search Agent: Searches recent news → Summarizes key events → Provides timeline

Search Capabilities

Supported Search Types

Type	Description	Best For
general	Broad web search	General knowledge, how-to guides
news	Recent news articles	Current events, trending topics
academic	Scholarly sources	Research, citations, studies
code	Code repositories	Programming solutions, libraries
images	Visual content	Reference images, diagrams

Advanced Search Operators

• "exact phrase" - Search for exact matches
• site:example.com - Search within specific domain
• filetype:pdf - Find specific file types
• -exclude - Exclude specific terms
• OR - Search for either term

Output Format

Search Agent provides structured responses:

markdown

## Summary
[Concise answer to the query]

## Key Findings
- [Point 1 with citation]
- [Point 2 with citation]
- [Point 3 with citation]

## Sources
1. [Source Title](URL) - [Credibility Score]
2. [Source Title](URL) - [Credibility Score]

## Related Queries
- [Suggested follow-up 1]
- [Suggested follow-up 2]

Technical Architecture

Components

1. Search Engine Interface: Connects to multiple search APIs
2. Content Fetcher: Retrieves and parses web pages
3. AI Analyzer: Processes and summarizes content
4. Citation Manager: Tracks and formats source references
5. Response Formatter: Structures output for readability

Data Flow

text

User Query → Search APIs → Content Extraction → AI Analysis → Citation Mapping → Formatted Response

Configuration

Environment Variables

bash

SEARCH_API_KEY=your_search_api_key
AI_MODEL=gpt-4  # or other supported models
MAX_RESULTS=10  # number of sources to analyze
TIMEOUT=30000   # request timeout in milliseconds

Customization Options

• Result Count: Adjust number of sources analyzed
• Source Filters: Whitelist/blacklist specific domains
• Language Preferences: Prioritize results in specific languages
• Time Range: Filter results by date (past day, week, month, year)

Best Practices

When to Use Search Agent

✅ Current information not in training data ✅ Verifying facts or claims ✅ Researching new or niche topics ✅ Finding specific technical solutions ✅ Gathering multiple perspectives

When NOT to Use Search Agent

❌ Information already known to be in training data ❌ Personal or private information ❌ Highly sensitive queries ❌ When offline functionality is required

Limitations

• Search Dependency: Requires internet connectivity
• API Rate Limits: Subject to search API quotas
• Source Availability: Limited by indexed web content
• Real-time Lag: News may have slight delays
• Language Support: Optimized for major languages

Privacy & Security

• No Query Logging: User searches are not stored
• Secure Connections: All API calls use HTTPS
• Source Verification: Filters known malicious domains
• Data Minimization: Only fetches necessary content

Integration

With Other Skills

• findskills: Discover complementary skills
• code-reviewer: Verify code solutions found
• translator: Translate search results

API Usage

javascript

// Example: Using Search Agent programmatically
const searchAgent = require('search-agent');

const result = await searchAgent.search({
  query: "renewable energy trends 2024",
  type: "news",
  maxResults: 5
});

Version History

• v1.0.0 (Current)
  • Initial release
  • Multi-source search capability
  • AI-powered summarization
  • Citation tracking

Support & Feedback

For issues, feature requests, or contributions:

• GitHub Issues: [repository-url]
• Documentation: [docs-url]
• Community: [community-url]

License

MIT License - See LICENSE file for details

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Keywords: search, research, web search, AI search, information retrieval, fact checking, news aggregation, academic search, code search, intelligent agent, knowledge discovery, source citation, automated research