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deep-research-agent

deep-research-agent

github.com/qodex-aiProductivity47285 installsUpdated 42w ago
Repository

About deep-research-agent

deep-research-agent is a skill for building autonomous research agents, suited to researchers and analysts who need systematic investigations and evidence-backed reports. It covers planning, source evaluation, information extraction, synthesis, and cited report generation.

Key features

  1. 01Define research questions and collection plans
  2. 02Gather sources from multiple channels
  3. 03Assess source credibility, recency, and bias
  4. 04Extract findings, data, and research gaps
  5. 05Synthesize evidence and generate cited reports

Use cases

  1. 01Research market size and industry trends
  2. 02Analyze competitors and their strategies
  3. 03Automate academic literature reviews
  4. 04Consolidate sources into research reports

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/qodex-ai/ai-agent-skills --skill deep-research-agent

After installing, type/deep-research-agentin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

examples/
research_planner.py
research_report_generator.py
research_synthesizer.py
source_evaluator.py

Details

From the project README

Deep Research Agent

Build intelligent autonomous research agents that systematically investigate topics, evaluate sources, synthesize findings, and produce comprehensive reports.

Research Workflow

Stage 1: Research Planning

See examples/research_planner.py for ResearchPlanner:

  • Define research questions
  • Identify key research areas
  • Plan information sources and evaluation criteria
  • Create research timeline
Stage 2: Source Gathering

Gather sources from multiple channels:

  • Academic databases (Google Scholar, PubMed, JSTOR)
  • News sources and publications
  • Industry reports and whitepapers
  • Web and social media searches
  • Expert interviews
Stage 3: Source Evaluation

See examples/source_evaluator.py for SourceEvaluator:

  • Evaluate author expertise
  • Assess publisher credibility
  • Check information recency
  • Identify potential biases
Stage 4: Information Extraction

Extract structured data from sources:

  • Key findings and main points
  • Statistics and quantitative data
  • Expert opinions and perspectives
  • Emerging trends
  • Research gaps
Stage 5: Synthesis & Analysis

See examples/research_synthesizer.py for ResearchSynthesizer:

  • Identify main conclusions
  • Organize supporting evidence
  • Identify conflicting viewpoints
  • Detect research gaps
  • Suggest future research directions
Stage 6: Report Generation

See examples/research_report_generator.py for ResearchReportGenerator:

  • Generate executive summaries
  • Format findings with evidence
  • Present conflicting views
  • Identify gaps and opportunities
  • Create comprehensive reports with citations

Research Agent Implementation

Build a comprehensive research agent by:

  1. Creating research plans with ResearchPlanner
  2. Gathering sources from multiple channels
  3. Evaluating sources with SourceEvaluator
  4. Extracting structured information
  5. Synthesizing findings with ResearchSynthesizer
  6. Generating reports with ResearchReportGenerator

Specialized Research Types

Market Research

Build market research capabilities:

  • Estimate market size and growth rates
  • Identify key competitors and market players
  • Analyze market segments and entry barriers
  • Identify opportunities and threats
  • Track industry trends
Competitive Intelligence

Build competitive intelligence analysis:

  • Identify direct and indirect competitors
  • Analyze competitor products and pricing
  • Estimate market share and positioning
  • Assess strengths and weaknesses
  • Track competitive strategies and moves
Literature Review

Build literature review automation:

  • Search academic databases systematically
  • Extract paper metadata and abstracts
  • Analyze contributions and methodologies
  • Identify key themes and connections
  • Generate literature review synthesis

Best Practices

Research Quality
  • ✓ Use multiple reliable sources
  • ✓ Cross-reference findings
  • ✓ Evaluate source credibility
  • ✓ Identify and acknowledge biases
  • ✓ Document all sources
Depth & Scope
  • ✓ Define clear research questions
  • ✓ Set appropriate scope
  • ✓ Balance breadth and depth
  • ✓ Identify research gaps
  • ✓ Suggest future directions
Synthesis & Analysis
  • ✓ Organize findings logically
  • ✓ Present supporting evidence
  • ✓ Address conflicting views
  • ✓ Draw evidence-based conclusions
  • ✓ Avoid unsupported claims

Tools & Technologies

Academic Search
  • Google Scholar
  • PubMed
  • JSTOR
  • ArXiv
  • PapersWithCode
News & Web Search
  • NewsAPI
  • Bing News
  • Google News
  • RSS Feeds
  • Social Media APIs
Data Analysis
  • Pandas
  • NumPy
  • scikit-learn
  • Statistical tools

Getting Started

  1. Define research question
  2. Create research plan
  3. Gather sources
  4. Evaluate credibility
  5. Extract key information
  6. Identify patterns
  7. Synthesize findings
  8. Generate comprehensive report

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