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Allows you to convert technical book PDFs or document folders into a structured agent skill for studying, referencing, and using while coding.

An autonomous MCP agent designed for deep web and local research, providing detailed, factual, and unbiased reports with citations for any given task.

ARIS provides Markdown-only skills for autonomous ML research, enabling cross-model review loops and experiment automation for various AI agents.

A tool that converts various sources like documentation sites, GitHub repos, and PDFs into structured knowledge assets and AI skills for platforms like Claude.

A comprehensive open-source library of skills that empowers AI agents to autonomously conduct AI research, from ideation and experimentation to paper writing.

A trilingual learning roadmap with over 240 curated resources and hands-on examples for agentic AI, from LLM basics to multi-agent systems.

zotero-mcp

54yyyu

Connects your Zotero research library to AI agents to search, read, and cite papers using natural language.

The Exa MCP server connects AI agents to Exa for web search, content fetching, and multi-step research, available as a hosted service or plugin.

This MCP server allows AI agents to generate in-depth research reports rapidly, supporting various LLMs and web search engines with local data processing.

hyperresearch

jordan-gibbs

This plugin transforms Claude Code or OpenAI Codex into a powerful deep research agent that collects, synthesizes, and stores web research into a persistent, searchable knowledge base.

This MCP server allows AI agents to read arXiv papers, extract BibTeX, and keep topic watches, with papers stored locally.

Integrates a metasearch library into an AI agent, allowing it to aggregate search results from diverse web services.

Give your agent access to your entire Zotero library for deep-research, literature search, and PDF chatting.

Automates the generation of publication-quality academic diagrams, statistical plots, and research visuals from text descriptions.

This skill provides a structured, human-in-the-loop research workflow for AI agents to generate outlines and conduct deep investigations on various topics.

This MCP server enables AI agents to perform real-time web searches, specialized domain searches, parallel queries, and extract full page content from URLs.

This is a ready-to-fork Claude Code template designed for academic work, supporting LaTeX/Beamer and R, with multi-agent review and quality gates.

A plugin-based multi-agent system that acts as an AI academic writing assistant, integrating with Overleaf to provide intelligent suggestions and critique.

openserp

karust

A self-hosted MCP server for web searching across Google, Bing, and more, providing clean Markdown results to your agent.

geo-sleuth

Oldcircle

An agent skill that identifies the location where a photo was taken using OpenStreetMap, satellite imagery, and elevation data.

Engram is an evidence-based learning plugin that turns AI agents into tutors to help humans learn and retain information.

This autonomous AI research engine conducts computational experiments, generates code, executes training, and produces full LaTeX papers with real experimental data.

This Claude Code skill transforms PDFs, documents, and codebases into Obsidian study vaults and generates interactive quizzes based on the content.

Provides AI assistants with privacy-respecting web search capabilities by integrating with a SearXNG instance via an MCP server.