deep-research-agent
Build agents specialized in conducting thorough research, gathering information from multiple sources, and synthesizing findings. Covers research planning, source evaluation, and report generation. Use when automating market research, competitive analysis, literature reviews, or intelligence gathering.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/qodex-ai/ai-agent-skills --skill deep-research-agent- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads deep-research-agent automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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:
- Creating research plans with
ResearchPlanner - Gathering sources from multiple channels
- Evaluating sources with
SourceEvaluator - Extracting structured information
- Synthesizing findings with
ResearchSynthesizer - 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
- Define research question
- Create research plan
- Gather sources
- Evaluate credibility
- Extract key information
- Identify patterns
- Synthesize findings
- Generate comprehensive report
FAQ
What does the deep-research-agent skill do?
Build agents specialized in conducting thorough research, gathering information from multiple sources, and synthesizing findings. Covers research planning, source evaluation, and report generation. Use when automating market research, competitive analysis, literature reviews, or intelligence gathering.
How do I install deep-research-agent?
Run npx skills add https://github.com/qodex-ai/ai-agent-skills --skill deep-research-agent in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/deep-research-agent/ (personal) or .claude/skills/deep-research-agent/ (project).
Which AI agents can use deep-research-agent?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is deep-research-agent safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains deep-research-agent?
It is published by qodex-ai in qodex-ai/ai-agent-skills. It has 284 recorded installs.
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