Vibe Index
🎯

academic-research

🎯Skill

from joshuaroll/research-skills

VibeIndex|
What it does

Retrieves and analyzes academic papers from Semantic Scholar and ArXiv, focusing on citation impact, provenance, and research trends.

πŸ“¦

Part of

joshuaroll/research-skills(4 items)

academic-research

Installation

PythonRun Python server
python3 search_papers.py "Large Language Models" --sort velocity
PythonRun Python server
python3 search_papers.py "Attention is All You Need" --format bibtex
πŸ“– Extracted from docs: joshuaroll/research-skills
Need more details? View full documentation on GitHub β†’
1Installs
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AddedFeb 4, 2026
View on GitHubBack to Skills

Skill Details

SKILL.md

A tool for rigorous academic research using Semantic Scholar and ArXiv. Focuses on finding highly-cited papers, retrieving abstracts, and following citation trails to understand the provenance of ideas.

Overview

# Academic Research Skill

This skill allows you to function as an academic researcher, finding and analyzing scholarly papers with a focus on impact and provenance.

Capabilities

  1. Search Papers: Find papers by keyword, ensuring relevance.
  2. Analyze Impact: Filter by citation count to identify seminal works.
  3. Trace Provenance: (Optional) Find papers that cite a target paper to seeing how the field evolved.
  4. Get Details: Retrieve abstracts and direct PDF links.
  5. Velocity Metrics: See citations per year to identify "trending" papers.
  6. BibTeX Export: Generate citations for your references.

Usage

Run the python script search_papers.py to perform searches.

Arguments

  • query (required): The search term.
  • --limit (optional): Max results (default 5).
  • --year (optional): Year range (e.g., "2023-2025").
  • --sort (optional): Sort by "relevance", "citationCount", or "velocity" (new!).
  • --open-access (optional): Only return open access papers.
  • --format (optional): Output "json" (default) or "bibtex".

Example

```bash

# Find "hot" papers on LLMs (high velocity)

python3 search_papers.py "Large Language Models" --sort velocity

# Get BibTeX for a specific search

python3 search_papers.py "Attention is All You Need" --format bibtex

```

Output Format

The script outputs a JSON object (or JSON-lines) containing:

  • title
  • authors
  • year
  • citationCount
  • citationsPerYear: Velocity metric.
  • tldr: Semantic Scholar's generated summary (if available).
  • url
  • pdf_url (if available)

Tips for the Agent

  • TLDR vs Abstract: The tldr field is often shorter and easier to digest for quick summaries.
  • Velocity: A paper from 2024 with 100 citations is often more relevant than a 2010 paper with 500 citations. Use sort="velocity".

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