16 boosters for "papers" — open source, verified from GitHub, ready to install
This skill provides comprehensive tools for AI engineers and researchers to publish, manage, and link research papers on the Hugging Face Hub. It streamlines the workflow from paper creation to publication, including integration with arXiv, model/dataset linking, and authorship management. The inclu
Provides the Hugging Face Hub CLI (`hf`) tool for downloading, uploading, and managing models, datasets, and Spaces directly from Claude Code. Essential for developers integrating Hugging Face resources into AI workflows.
Hugging Face Paper pages (hf.co/papers) is a platform built on top of arXiv (arxiv.org), specifically for research papers in the field of artificial intelligence (AI) and computer science. Hugging Face users can submit their paper at hf.co/papers/submit, which features it on the Daily Papers feed (h
A skill that enables researchers and AI engineers to publish, manage, and link research papers on Hugging Face Hub with arXiv integration and professional markdown generation. Useful for academics and ML practitioners looking to streamline paper publication workflows.
Heuristic scoring (no AI key configured).
"name": "research-companion", "description": "Strategic research thinking agents — idea evaluation, project triage, and structured brainstorming inspired by Carlini's research methodology", "name": "Andre Huang",
Bip is a CLI tool for managing academic references locally and searching papers via external APIs, designed for researchers and developers working with the bipartite reference library. It helps users efficiently organize and discover academic papers while prioritizing local search over external API calls.
Extracts structured datasets from academic papers by leveraging OpenAlex search and citation graph traversal. Researchers and AI scientists benefit from automating literature review and dataset creation workflows.
Search academic papers via the Semantic Scholar API using a structured 4-phase workflow. Parse the user's intent and choose a search strategy: Write ONE Python script. Example:
"description": "Persistent memory for Claude Code — remembers across sessions automatically. Install and forget. Scientific retrieval backed by 41 published papers.", "name": "Clement Deust", "email": "admin@ai-architect.tools"
An MCP server that enables searching and downloading academic papers from multiple sources including arXiv, PubMed, bioRxiv, medRxiv, and Google Scholar. Ideal for researchers, students, and developers who need programmatic access to academic literature.
"name": "open-academic-paper-machine", "description": "Open Academic Paper Machine — Autonomous academic paper production system with idea evaluation gate and paper-vs-code audit. NEW in v6.4: /audit-paper command and audit-engine skill — static audit of a paper's empirical claims (datasets, models,
This skill enables Claude to search a user's local Zotero library and discover related papers via Semantic Scholar, ideal for researchers and academics managing literature collections. It requires a local Zotero instance and works exclusively in Claude Code environments.
A Model Context Protocol server that enables Claude to create and manage collections of web entities (companies, people, papers) with automated search and enrichment capabilities via the Exa Websets API. Ideal for researchers, competitive analysts, and developers building AI-powered entity management systems.
Enables researchers and academics to systematically search arXiv papers, analyze research content, build literature reviews, and generate citations through a skill designed for Claude Code integration. Useful for students, researchers, and anyone conducting academic research who need structured access to arXiv resources.
A Claude Code skill that searches local Zotero libraries and discovers related papers via Semantic Scholar, enabling researchers to explore citations and find relevant literature without leaving their workflow.
