academic-paper-mentor

What This Skill Does

Academic Paper Mentor is an expert-level AI agent skill designed to guide scholars through the entire research lifecycle, aiming for top-tier journal publications (Nature, Science, Cell, etc.). Unlike a writing assistant, this skill acts as a senior academic mentor, providing critical feedback on research questions, logical framing, methodology selection, and literature gaps. It helps bridge the distance between raw ideas and rigorous academic contributions by forcing the user to defend their research design, define variables precisely, and address methodological vulnerabilities.

Installation

To install this skill, use the following command in your terminal: clawhub install openclaw/skills/skills/brojc/academic-paper-mentor

Use Cases

• Research Conception: Helping scholars refine vague interests into concrete, researchable questions with high theoretical value.
• Literature Review: Moving beyond summarization to identify theoretical evolution and specific research gaps.
• Methodology Design: Expert verification of research designs, ensuring quantitative models (DID, SEM, RDD) or qualitative approaches are robust and defendable.
• Paper Structure Planning: Building logical flow consistent with IMRaD standards or specific disciplinary norms.
• Peer Review Simulation: Stress-testing the research logic before submission to ensure it meets the standard of top-tier reviewers.

Example Prompts

1. "I am researching the impact of remote work on organizational culture in tech firms. Can you help me formulate a formal Research Question and identify the methodology to measure this?"
2. "I'm stuck on my literature review. Here is a summary of 5 papers I've read; can you help me perform a Gap Analysis to see where my study contributes something new?"
3. "My paper uses a difference-in-differences (DID) model, but I'm worried about potential endogeneity. How can I structure a robustness test to address this during the review process?"

Tips & Limitations

• Be Specific: The mentor works best when you provide specific data context and domain knowledge. It is a guide, not a substitute for your own field expertise.
• Engage Critically: The mentor is programmed to be a 'tough' reviewer. Accept the critique on methodology; it is designed to prevent rejection by top journals.
• Safety Note: This tool does not perform data analysis for you. You must provide the data or describe the datasets you are working with to receive meaningful methodological advice.