academic-researcher
๐ฏSkillfrom shubhamsaboo/awesome-llm-apps
|A curated collection of awesome LLM applications with skills for building AI-powered apps, covering RAG, agents, and various use cases.
Overview
The Academic Researcher skill is part of the Awesome LLM Apps collection, a curated repository of LLM-powered applications built with RAG, AI Agents, Multi-agent Teams, MCP, and Voice Agents. The collection showcases practical implementations using models from OpenAI, Anthropic, Google, xAI, and open-source alternatives like Qwen and Llama.
Key Features
- Multi-Provider LLM Support - Examples and patterns using OpenAI, Anthropic, Google Gemini, xAI, and open-source models
- RAG Implementation Patterns - Practical Retrieval-Augmented Generation implementations for academic and research use cases
- AI Agent Architectures - Demonstrations of single agents and multi-agent team configurations for research workflows
- MCP Integration Examples - Model Context Protocol implementations for connecting LLMs to academic data sources and tools
- Open Source and Local - Applications designed to work with open-source models that can run locally on your computer
Who is this for?
This skill is for researchers and academics who want to leverage LLM-powered applications for literature review, data analysis, and research workflows. It is also valuable for developers building research tools who want reference implementations of RAG, AI agents, and multi-agent systems applied to academic domains.
Same repository
shubhamsaboo/awesome-llm-apps(20 items)
Installation
npx vibeindex add shubhamsaboo/awesome-llm-apps --skill academic-researchernpx skills add shubhamsaboo/awesome-llm-apps --skill academic-researcher~/.claude/skills/academic-researcher/SKILL.mdSKILL.md
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