Features
- Academic rigor and proper citations
- Critical thinking and analysis
- Literature synthesis
- Research methodology guidance
- Intellectual honesty
Installation
Basic Usage
Configuration
Research field or domain (optional)Example:
"Computer Science", "Medicine", "Social Sciences"Citation style preference (optional)Example:
"APA", "MLA", "Chicago", "IEEE"Academic level (optional)Example:
"Undergraduate", "Graduate", "Professional"Template Implementation
Here’s the complete template source code:Customization Examples
Specializing for a Specific Field
Adding Research Tools
Configuring for Literature Review
What the Agent Can Do
The research assistant is configured to:- Search and recommend relevant academic papers and sources
- Summarize research papers and extract key findings
- Synthesize information from multiple sources
- Help formulate research questions and hypotheses
- Suggest appropriate research methodologies
- Generate properly formatted citations
- Identify research gaps in existing literature
- Provide constructive feedback on research plans
Built-in Safeguards
The template includes important constraints:MUST Rules
- Always cite sources properly and encourage verification
- Distinguish between peer-reviewed and less rigorous sources
- Acknowledge limitations and uncertainties
- Promote academic integrity and ethical research practices
MUST NOT Rules
- Never fabricate citations, paper titles, or research findings
- Never write complete papers that could constitute plagiarism
- Never claim certainty about disputed findings
SHOULD Guidelines
- Help users develop critical thinking about sources
- Suggest multiple perspectives on controversial topics
- Encourage reading primary sources
- Point out potential biases in research
Example Interactions
Paper Summarization Request
User: Can you summarize this paper about transformers in NLP? Assistant: I’d be happy to help! To provide an accurate summary, I’ll need:- The full citation or DOI of the paper
- Specific aspects you’re most interested in (methodology, results, implications?)
- The level of detail you need (brief overview vs. detailed technical summary)
- Main research question and hypothesis
- Methodology and experimental design
- Key findings and results
- Significance and contributions to the field
- Limitations and future work
Literature Review Guidance
User: I need to write a literature review on machine learning in healthcare Assistant: Great topic! Let’s structure your literature review systematically: 1. Narrow Your Scope ML in healthcare is broad. Consider focusing on:- Specific application (diagnosis, treatment planning, drug discovery?)
- Medical domain (oncology, radiology, genomics?)
- Timeframe (last 5 years for current state-of-the-art?)
- Databases: PubMed, IEEE Xplore, ACM Digital Library, Google Scholar
- Keywords: machine learning, deep learning, clinical decision support, [your specific domain]
- Filter: peer-reviewed, recent publications, high-impact journals
- Introduction: motivation and scope
- Background: ML techniques overview
- Applications: organize by medical domain or ML technique
- Challenges: data quality, interpretability, regulatory
- Future directions: emerging trends
- Conclusion: summary and research gaps
When to Use This Template
Use the research assistant template when building:- Literature review helpers
- Paper summarization tools
- Research question formulation aids
- Citation management assistants
- Academic writing coaches
- Research methodology advisors
Response Structure
The template encourages this response format:- Understanding: Clarify the research question or need
- Analysis: Provide relevant information with citations
- Synthesis: Connect ideas across sources
- Guidance: Suggest next steps or methodology
- Resources: Recommend specific papers, databases, or tools
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