professor-fit-analyser

Analyze professor research activity and mentorship from publication data.

118|11|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/voidful/academic-skills --skill professor-fit-analyser-voidful
Or copy as Structured Prompt for Agent
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Skill: professor-fit-analyser
Source: https://github.com/voidful/academic-skills/tree/main/professor-fit-analyser
Command: npx skills add https://github.com/voidful/academic-skills --skill professor-fit-analyser-voidful

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and scripts (resource) components.

What problem does it solve?

This Skill provides detailed insights into a professor's research profile, mentorship quality, collaboration network, and resource access, enabling prospective students or collaborators to assess academic fit effectively.

Core Features & Use Cases

  • Research Profiling: Summarizes publication history, research focus, and institutional affiliation.
  • Timeline Construction: Identifies key phases, shifts, and productivity trends over years.
  • Taxonomy Clustering: Classifies research into core lines, application areas, and emerging directions.
  • Paper Analysis: Extracts structured data from publications, including novelty, resources, authorship, and impact signals.
  • Advisor Evaluation: Assesses research strength, mentoring capacity, collaboration breadth, resource access, and workload risks.
  • Future Planning: Infers upcoming research directions and staffing needs.
  • Applicant Fit: Matches candidate level and research role with professor profile, highlighting gaps and opportunities.

Quick Start

Use this skill to analyze a professor by providing their name and publication links or profiles to generate a comprehensive assessment report.

Frequently Asked Questions about professor-fit-analyser

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I evaluate a professor's research profile and mentorship quality before applying for a PhD?

To evaluate a professor's research profile and mentorship quality, you can analyze their publication data, institutional pages, and field-specific databases to assess research activity, mentorship capacity, and collaboration network. This structured evaluation helps prospective students assess academic fit and make informed decisions about potential advisors.

Can I assess academic fit for both master's and undergraduate applicants using publication data?

Yes, you can assess academic fit for master's and undergraduate applicants by matching the candidate's level and research role with the professor's profile. The analysis highlights gaps and opportunities by evaluating research strength, collaboration breadth, and resource access based on publication history.

What is the best way to analyze a professor's collaboration network and resource access?

The best way to analyze a professor's collaboration network and resource access is by extracting structured data from their publications and institutional profiles. This includes assessing authorship patterns, impact signals, and institutional affiliations to evaluate collaboration breadth and available resources.

How do I identify a potential advisor's future research directions and staffing needs?

To identify a potential advisor's future research directions and staffing needs, analyze timeline constructions and taxonomy clustering from their publication history. This infers upcoming research focuses by classifying core research lines, application areas, and emerging directions over time.

What data is needed to perform a comprehensive professor evaluation for advising and collaboration?

Performing a comprehensive professor evaluation requires access to the professor's publication lists, institutional pages, and field-specific databases. This data provides full coverage for analyzing research activity, mentorship quality, collaboration networks, and resource access.