Paper Research Agent - Autonomous Multi-Agent Research System

When to Use

Use this skill when the user wants to:

• Research papers on a specific topic
• Find related literature for a research area
• Analyze academic papers in depth
• Build a literature survey
• Identify research gaps
• Compare methods across papers

Core Workflow

The system autonomously executes the full research pipeline:

User Query → Research Probe → PDF Download → Parallel Agent Analysis → Integrated Report

Phase 1: Research Probe (Automated)

• Parse user's research intent from natural language
• Execute vertical deep search or iterative exploration
• Generate research graph with papers at different levels

Phase 2: PDF Download (Automated)

• Download PDFs from arxiv
• Deduplicate and version management
• Standard naming: {paper_title}-{arxiv_id}.pdf

Phase 3: Parallel Agent Analysis (Automated - Key)

• Spawn multiple sub-agents (one per paper)
• Each agent reads full PDF using paper-reader
• Generate 6-section detailed analysis
• Agents run in parallel for speed

Phase 4: Report Integration (Automated)

• Collect all agent analyses
• Generate comparison tables
• Identify research gaps
• Output comprehensive survey

Agent Analysis Requirements

Each sub-agent MUST generate a 6-section report following the detailed standards in: references/analysis_standards.md

SubAgent MUST read this reference file before starting analysis to understand:

• Detailed requirements for each of the 6 sections
• Possible sub-sections to consider (as hints, not rigid requirements)
• Quality checklists
• How to use paper-reader tool
• Report format template

Summary of 6 Required Sections

Section 1: Research Background

• Domain context and research lineage
• Key prior works cited (3-5 papers)
• Technical state when this paper was published
• Goal: Help user understand the research landscape

Section 2: Research Problem

• Specific problem being solved
• Limitations of existing methods (cite original text)
• Core assumptions and insights
• Goal: Clarify what problem the author identified

Section 3: Core Innovation

• Detailed method/system architecture
• Technical details (network structure, dimensions)
• Key formulas in LaTeX format
• Comparison table with prior methods
• Goal: Understand exactly what the author did

Section 4: Experimental Design

• Dataset details (name, scale, characteristics)
• Baseline methods used
• Evaluation metrics
• REAL experimental data tables (copy from paper)
• Ablation study results
• Goal: Extract real data for comparison

Section 5: Key Insights

• Core findings from experiments
• Domain insights (what works/doesn't work)
• Practical recommendations
• Goal: Learn actionable lessons

Section 6: Future Work

• Limitations acknowledged by authors
• Unsolved problems
• Potential research directions (at least 3)
• Goal: Identify research gaps for user's innovation