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academic-researcher

Aggregate arXiv papers, Semantic Scholar citations, and Hacker News discussions into structured reports.

13|Updated Apr 5, 2026
Search Tags:#arxiv#literature-review#semantic-scholar#academic-research#hacker-news#research-report#citation-analysis
One-click install
npx skills add https://github.com/sergiocoding96/hermes-multi-agent --skill academic-researcher-sergiocoding96
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: academic-researcher
Source: https://github.com/sergiocoding96/hermes-multi-agent/tree/main/skills/academic-researcher
Command: npx skills add https://github.com/sergiocoding96/hermes-multi-agent --skill academic-researcher-sergiocoding96

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Manually tracking cutting-edge academic papers, their citation impact, and technical community reaction is time-consuming and fragmented, requiring switching between multiple disconnected platforms and tools.

Core Features & Use Cases

  • Multi-source paper discovery: Aggregates recent arXiv papers by keyword or category, pulls citation counts and impact data from Semantic Scholar, and cross-references with Hacker News discussions to identify high-signal research.
  • Structured report synthesis: Compiles all gathered data into a standardized academic intelligence report with executive summaries, key paper breakdowns, research landscape analysis, and community sentiment insights.
  • Use Case: A researcher tracking multi-agent LLM systems can use this skill to automatically compile the latest papers, their academic impact, practitioner feedback from Hacker News, and open problems in the field in minutes instead of hours.

Quick Start

Use the academic-researcher skill to generate a structured intelligence report on the latest advancements in multi-agent LLM systems covering the last 30 days at standard depth.

Frequently Asked Questions about academic-researcher

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

FAQPage Schema
How do I automate literature reviews using arXiv and Semantic Scholar citation data?▼

Automated literature review aggregates recent arXiv papers by keyword, pulls citation impact data from Semantic Scholar, and cross-references Hacker News discussions to synthesize structured academic intelligence reports.

What is the best way to track academic research impact and technical community feedback together?▼

Tracking academic research impact and community feedback is done by aggregating cutting-edge arXiv paper metadata and technical discourse from Hacker News into a unified academic intelligence report.

Can I generate a research report on machine learning advancements covering a specific time frame?▼

Generating a research report on machine learning advancements allows users to specify a time frame, such as the last 30 days, and compile key paper breakdowns, landscape analysis, and community sentiment.

Does this academic research workflow support technology scouting for fields like computer vision?▼

Technology scouting for fields like computer vision and artificial intelligence is fully supported, applying automated arXiv paper discovery and citation analysis to identify high-signal research.

How do I compile recent multi-agent LLM systems papers and open problems quickly?▼

Compiling recent multi-agent LLM systems papers and open problems involves automated multi-source discovery to generate structured reports with executive summaries in minutes instead of hours.

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