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Exa Researcher

该 Skill 借助 Exa AI 的 MCP 工具提供研究能力:基础与高级网络搜索、公司调研、人物检索、代码上下文提取、网页抓取,以及可启动并轮询进度的深度研究流程,适用于市场调研、竞品分析、技术资料整理等场景。

sy2ruto
sy2ruto
热度 26.45
最近更新 2026-05-11 17:25:52
分类:搜索依赖:MCP 服务 / 第三方 API应用场景:研究 / 市场分析 / 摘要总结

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add exa-researcher
Metadata
name
exa-researcher
description
Comprehensive research capabilities using Exa AI MCP tools. Use when you need to conduct web research, gather company information, find people, extract code context, or perform deep research tasks. Specifically triggers for: web searches, company research, people search, code context extraction, web crawling, and deep researcher workflows. Perfect for market research, competitive analysis, technical research, news gathering, and any knowledge-intensive research needs.

Exa Researcher

Overview

Exa Researcher provides powerful research capabilities through Exa AI's MCP tools, including web searches (basic and advanced), company and people research, code context extraction, web crawling, and deep research workflows.

Core Capabilities

1. Web Search (Basic & Advanced)

Basic Web Search (web_search_exa)

  • Quick web searches for general information
  • Ideal for: factual queries, news, quick facts

Advanced Web Search (web_search_advanced_exa)

  • More sophisticated search with filters and ranking
  • Ideal for: detailed research, finding specific content types, narrowing results by freshness, region, etc.

2. Company Research (company_research_exa)

  • Gather comprehensive information about companies
  • Ideal for: competitive analysis, partner research, due diligence
  • Use cases: company overview, financial data, recent news, leadership, products/services

3. People Search (people_search_exa)

  • Find information about people by name or query
  • Ideal for: background research, networking, finding experts
  • Use cases: professional backgrounds, expertise areas, recent activity

4. Code Context (get_code_context_exa)

  • Extract code context and technical information
  • Ideal for: technical research, understanding codebases, finding code examples
  • Use cases: understanding APIs, finding implementation patterns, technical documentation research

5. Web Crawling (crawling_exa)

  • Systematic web crawling for comprehensive information gathering
  • Ideal for: in-depth site research, content extraction, archiving
  • Use cases: website analysis, content aggregation, research from specific domains

6. Deep Research (deep_researcher_start, deep_researcher_check)

  • Long-running research workflows with progress tracking
  • Ideal for: comprehensive multi-source research, trend analysis, information synthesis
  • Use cases: research papers, market reports, feasibility studies, competitive intelligence

Usage Guidelines

When to Use Each Tool

Task Recommended Tool Reason
Quick facts, news web_search_exa Fast, simple queries
Detailed research with filters web_search_advanced_exa More control, better results
Company analysis company_research_exa Structured company data
Finding people/experts people_search_exa People-focused search
Technical/code research get_code_context_exa Code and API focused
Researching websites/domains crawling_exa Systematic site exploration
Long-term research projects deep_researcher_start → deep_researcher_check Multi-source, time-consuming

Research Workflow

  1. Identify the research goal - What information do you need?
  2. Select the appropriate tool - Match the task to the tool above
  3. Execute the search/research - Call the Exa AI tool
  4. Analyze results - Synthesize findings
  5. Iterate if needed - Refine queries or use additional tools

Advanced Use Cases

Competitive Analysis

  • Use company_research_exa for multiple competitors
  • Combine with web_search_advanced_exa for recent news
  • Document findings in structured format

Market Research

  • web_search_advanced_exa for market trends
  • crawling_exa for industry reports and whitepapers
  • Synthesize findings into market overview

Technical Documentation Research

  • get_code_context_exa for API documentation
  • Find code examples and implementation patterns
  • Extract technical specifications

Background Research (People/Companies)

  • people_search_exa for expertise matching
  • company_research_exa for organizational context
  • Combine for comprehensive profiles

Long-Form Research Projects

  • Use deep_researcher_start to initiate workflow
  • Monitor progress with deep_researcher_check
  • Let it run for complex, multi-source research needs

Tips for Best Results

  • Be specific with queries - More precise queries yield better results
  • Combine tools - Multiple tools can provide comprehensive coverage
  • Use filters wisely - Especially with advanced search (date ranges, regions, etc.)
  • Iterate - Refine queries based on initial results
  • Store important findings - Save significant research to memory
  • Consider search volume - Complex searches may take longer