scholar-research-assistant

Name: scholar-research-assistant
Availability: InStock
Author: ScholarClaw

Search scholarly literature by keywords, authors, journals, and time.

5|Updated Mar 23, 2026

Search Tags:#information retrieval #data analysis #literature review #academic research #scholarship

Ready to run

npx skills add https://github.com/scholarclaw/skills --skill scholar-research-assistant

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: scholar-research-assistant
Source: https://github.com/scholarclaw/skills/tree/main/skills/scholar-research-assistant
Command: npx skills add https://github.com/scholarclaw/skills --skill scholar-research-assistant

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, yaml, json, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The Skill solves the challenge of manual and inefficient academic research by providing automated tools for searching, filtering, and summarizing scholarly literature.

Core Features & Use Cases

Automated Research Assistant: Supports multi-dimensional search by keywords, authors, journals, and time.
Automated Literature Reports: Automatically constructs keyword matrices and scores paper quality based on citation count and journal ranking.
Use Case: This Skill can assist with literature reviews, domain research surveys, and tracking authors' research trajectories.

Quick Start

Run the scholar-research-assistant skill to initiate an academic literature search for "machine learning" in the past 5 years.

Frequently Asked Questions about scholar-research-assistant

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

FAQPage Schema

How do I automate scholarly literature search and retrieval for a literature review?▼

Automate scholarly literature search by running multi-dimensional queries filtered by keywords, authors, journals, and time periods. The skill retrieves academic papers and generates automated literature reports with quality scoring based on citation count and journal ranking.

Can I filter academic research papers by author and journal ranking simultaneously?▼

Yes, you can filter academic research papers by author, journal, keywords, and time simultaneously. The skill constructs keyword matrices and applies automated quality scoring using citation counts and journal ranking to evaluate the retrieved papers.

What is the best way to generate a domain research survey from academic papers?▼

Generate a domain research survey by executing multi-dimensional searches across scholarly databases. The skill automatically constructs keyword matrices, retrieves relevant literature, and scores paper quality to streamline domain research surveys and track authors' research trajectories.

How does automated quality scoring work for academic literature reports?▼

Automated quality scoring evaluates academic literature by analyzing citation count and journal ranking. The skill builds keyword matrices and applies these metrics to filter search results, ensuring high-quality papers are prioritized for literature reviews and domain research.

Do I need any specific Python dependencies to run the academic research assistant?▼

Yes, the academic research assistant requires the Python packages requests, yaml, and json to function. These dependencies handle data retrieval and configuration processing for executing multi-dimensional scholarly literature searches and generating automated reports.

Can I track an author's research trajectory using automated literature retrieval?▼

Yes, track an author's research trajectory by filtering multi-dimensional searches by author name and time period. The skill retrieves their published academic papers, applies quality scoring, and compiles the results to map their research evolution over time.