academic-research

Synthesize scholarly literature across multiple APIs with citation tracking and BibTeX export.

621|58|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/Lingtai-AI/lingtai --skill academic-research-lingtai-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: academic-research
Source: https://github.com/Lingtai-AI/lingtai/tree/main/tui/internal/preset/skills/academic-research
Command: npx skills add https://github.com/Lingtai-AI/lingtai --skill academic-research-lingtai-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Researchers often struggle to locate, compare, and synthesize scholarly literature across diverse APIs and data sources.

Core Features & Use Cases

  • Unified access to key scholarly APIs (OpenAlex, CrossRef, arXiv, Europe PMC, INSPIRE-HEP, NASA ADS) for discovery, metadata, and OA status.
  • Support for citation network analysis, trend tracking, and literature reviews, with reference formatting and BibTeX export.
  • Use Case: run a topic discovery on transformer architectures and generate a structured literature summary with top papers and sources.

Quick Start

Prompt the system to search OpenAlex and related APIs for a topic and return a structured set of papers with metadata.

Frequently Asked Questions about academic-research

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

FAQPage Schema
How do I search multiple scholarly APIs for a literature review?

To search multiple scholarly APIs for a literature review, query OpenAlex, CrossRef, arXiv, Europe PMC, INSPIRE-HEP, and NASA ADS simultaneously to discover papers, normalize metadata, and synthesize structured summaries for your topic.

Can I generate BibTeX citations from arXiv and OpenAlex metadata?

Yes, you can generate BibTeX citations from arXiv and OpenAlex metadata by retrieving and normalizing reference data across these APIs to format structured citations and export them for academic writing workflows.

What's the best way to track research trends across academic databases?

The best way to track research trends across academic databases is to perform systematic topic discovery and citation network analysis using unified API access to OpenAlex, NASA ADS, and arXiv for comprehensive metadata synthesis.

Does cross-API literature discovery handle normalization and error handling?

Cross-API literature discovery includes robust error handling and metadata normalization to ensure consistent structured search results when querying diverse sources like Europe PMC, INSPIRE-HEP, and CrossRef.

How do I perform citation network analysis for scholarly literature?

Citation network analysis for scholarly literature is performed by querying OpenAlex and related reference data sources to track citations, map connections between papers, and synthesize the metadata into a comprehensive review.

What is the process for systematic scholarly search and writing workflows?

Systematic scholarly search and writing workflows involve locating, comparing, and synthesizing literature across diverse APIs like arXiv and Europe PMC to enable comprehensive discovery, metadata extraction, and structured reference formatting.