academic-mentorAI-powered research advisor for graduate students - provides research assessment, proposal generation, literature analysis, advisor matching, and publication...
Install via ClawdBot CLI:
clawdbot install ZhenStaff/academic-mentor:
Requires:
Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/ZhenRobotics/openclaw-academic-mentorAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
A PhD student in computer science needs to develop a thesis proposal on machine learning for healthcare. The skill helps assess the research idea's feasibility, generate a structured proposal, analyze relevant literature, and match potential advisors in the field.
A postdoctoral researcher in biology is preparing a paper on a new experimental method. The skill provides guidance on writing the paper, recommends suitable journals and conferences based on impact and deadlines, and analyzes literature to identify gaps and trends.
A master's student in engineering seeks to find a suitable PhD advisor and lab. The skill gathers the student's background and preferences, matches them with advisors based on research areas and advising style, and recommends application strategies.
A researcher in environmental science is starting a project combining data science and climate modeling. The skill analyzes literature to identify key papers, methodologies, and research gaps, helping streamline the review process and inform methodology design.
Offer basic research assessment and proposal generation for free to students, with premium features like detailed advisor matching, publication guidance, and advanced literature analysis available through institutional subscriptions or individual paid plans.
License the skill to academic platforms (e.g., research management tools, university portals) as an embedded AI advisor. Revenue comes from licensing fees based on usage volume or per-user pricing, enhancing the platforms' value with automated mentoring services.
Provide tailored implementations for specific research institutions or departments, including custom training on domain-specific data and integration with existing academic workflows. This model targets large organizations needing specialized support.
💬 Integration Tip
Integrate with existing academic databases and research tools via APIs to enhance data accuracy and streamline user workflows, such as pulling literature or advisor information automatically.
Scored Apr 19, 2026
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