autonomous-research（自主研究）

Autonomous Research

Conduct comprehensive research independently.

When to Use

• Deep research on any topic
• Information gathering without guidance
• Analysis and synthesis of findings
• Creating detailed reports

Core Capabilities

1. Independent Research

• Find relevant information sources
• Evaluate source credibility
• Extract key information
• Cross-reference multiple sources

2. Analysis and Synthesis

• Identify patterns and connections
• Analyze conflicting information
• Synthesize findings into coherent insights
• Draw evidence-based conclusions

3. Report Generation

• Structure findings logically
• Create comprehensive reports
• Include citations and sources
• Present actionable insights

4. Source Management

• Track information sources
• Manage citations and references
• Evaluate source reliability
• Update findings with new information

Research Process

1. TOPIC DEFINITION → Clarify research scope
2. SOURCE IDENTIFICATION → Find relevant sources
3. INFORMATION EXTRACTION → Extract key data
4. ANALYSIS → Analyze and synthesize findings
5. REPORTING → Create comprehensive report
6. VALIDATION → Verify accuracy and completeness

Quick Actions

• research [topic] - Conduct comprehensive research
• analyze sources - Evaluate source credibility
• synthesize findings - Create insights from data
• generate report - Create detailed report
• validate research - Verify accuracy and completeness

Usage Examples

"Research AI agent monetization strategies for 2026"
"Analyze the current state of autonomous agent development"
"Find and evaluate sources on LLM reasoning capabilities"
"Create a comprehensive report on AI safety concerns"
"Validate research findings and identify gaps"

Research Methodology

1. Source Selection

• Academic papers and journals
• Industry reports and whitepapers
• Expert blogs and articles
• Primary sources and data

2. Information Extraction

• Key findings and insights
• Data points and statistics
• Expert opinions and analysis
• Methodologies and approaches

3. Cross-Referencing

• Compare information across sources
• Identify contradictions and agreements
• Validate claims with multiple sources
• Synthesize consensus views

4. Analysis Framework

• SWOT analysis (Strengths, Weaknesses, Opportunities, Threats)
• Trend analysis and forecasting
• Comparative analysis
• Impact assessment

Report Structure

Standard Format

# Research Report: [Topic]

## Executive Summary
- Key findings and conclusions
- Actionable insights
- Recommendations

## Research Scope
- Objectives and questions
- Methodology and sources
- Limitations and assumptions

## Findings
- Detailed analysis of each aspect
- Data and evidence
- Expert opinions

## Analysis
- Patterns and trends
- Implications and impact
- Opportunities and threats

## Conclusion
- Key takeaways
- Recommendations
- Future outlook

## Sources
- Cited references
- Additional reading
- Data sources

Source Evaluation

Credibility Criteria

• Author expertise and credentials
• Publication reputation
• Date and timeliness
• Methodology and evidence
• Citations and references

Reliability Assessment

• Peer review status
• Data quality and methodology
• Conflict of interest disclosure
• Reproducibility of findings
• Expert consensus

Information Extraction

Data Collection

• Extract key statistics and data points
• Identify trends and patterns
• Note expert opinions and predictions
• Capture methodologies and approaches

Content Analysis

• Identify main arguments and conclusions
• Extract supporting evidence
• Note limitations and caveats
• Capture implications and applications

Synthesis Process

Pattern Identification

• Group similar findings
• Identify common themes
• Note contradictions and agreements
• Map relationships between concepts

Insight Generation

• Draw conclusions from evidence
• Identify implications and impact
• Generate actionable recommendations
• Forecast future trends

Report Writing

• Structure findings logically
• Use clear and concise language
• Include supporting evidence
• Provide actionable recommendations

Quality Assurance

Accuracy Verification

• Cross-check facts and figures
• Validate sources and citations
• Review for logical consistency
• Check for bias and objectivity

Completeness Check

• Ensure all aspects covered
• Identify missing information
• Verify research scope
• Check for gaps and limitations

Clarity Assessment

• Review readability and structure
• Check for logical flow
• Verify clarity of recommendations
• Ensure actionable insights

Advanced Features

1. Multi-Source Analysis

• Combine information from diverse sources
• Identify consensus and contradictions
• Synthesize comprehensive view
• Provide balanced perspective

2. Trend Analysis

• Identify emerging patterns
• Forecast future developments
• Analyze historical trends
• Predict implications

3. Comparative Research

• Compare different approaches
• Evaluate alternatives
• Identify best practices
• Recommend optimal solutions

4. Impact Assessment

• Analyze implications and consequences
• Evaluate risks and opportunities
• Assess feasibility and viability
• Recommend mitigation strategies

Integration with Other Skills

Task Orchestra

• Coordinate multiple research agents
• Manage complex research projects
• Orchestrate data collection and analysis

Content Creation

• Generate research-based content
• Create data-driven reports
• Produce evidence-based recommendations

Analysis Skills

• Apply advanced analytical techniques
• Use specialized analysis frameworks
• Generate deeper insights

Best Practices

1. Start Broad: Begin with wide scope, then narrow down
2. Diversify Sources: Use multiple types of sources
3. Cross-Reference: Verify information across sources
4. Stay Current: Use recent and relevant sources
5. Be Critical: Question assumptions and biases
6. Document Everything: Keep detailed records of sources
7. Validate Findings: Check accuracy and completeness
8. Provide Context: Explain significance and implications

Common Research Topics

Technology

• AI and machine learning trends
• Software development best practices
• Emerging technologies
• Technical comparisons

Business

• Market analysis and trends
• Competitive research
• Business models and strategies
• Industry analysis

Science

• Research findings and breakthroughs
• Scientific methods and approaches
• Experimental results and analysis
• Theoretical developments

Social

• Social trends and behaviors
• Cultural analysis
• Public opinion and sentiment
• Demographic studies

Output Formats

1. Research Reports

• Comprehensive analysis with citations
• Executive summaries
• Detailed findings and recommendations

2. Data Reports

• Statistical analysis and visualization
• Data-driven insights
• Trend analysis and forecasting

3. Comparative Reports

• Side-by-side comparisons
• Evaluation matrices
• Recommendation frameworks

4. Executive Briefs

• Concise summaries
• Key insights and takeaways
• Actionable recommendations

Success Metrics

• Comprehensiveness: Coverage of all relevant aspects
• Accuracy: Factual correctness and reliability
• Depth: Quality and depth of analysis
• Actionability: Practical value of recommendations
• Clarity: Readability and understandability
• Credibility: Quality and reliability of sources

Remember: Good research is thorough, accurate, and actionable.