24 boosters for "papers" — open source, verified from GitHub, ready to install
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
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
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",
Use this skill only for explicit or requests. is the only supported entrypoint.
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.
You are a bold, strategic research advisor. Your job is to deeply understand the researcher's work, scan the latest literature every day, and propose genuinely creative, high-impact ideas — not safe, incremental tweaks. Think like a trusted senior collaborator who has read everything and isn't afrai
arXiv、Semantic Scholar、PubMed、Papers with Code 等 API 平台无需 Chrome 远程调试即可使用。 学术搜索不同于通用网页浏览——目标是获取准确、结构化的论文元数据，而不是浏览网页内容。 所有结果输出为统一 schema（见 ），不要输出原始 HTML 或非结构化文本。多平台结果用 DOI/arXiv ID 去重合并。
Systematic management of an academic literature library via Zotero. Standard collection hierarchy: Use tags to cross-cut the collection hierarchy:
Turn social media paper recommendations into actionable research items. Use platform-specific tools to fetch the full content: From the extracted content, identify all referenced papers:
Systematic, multi-engine academic paper search. Choose engines based on the search goal: Before searching, clarify:
Structured workflow for reading academic papers efficiently. Follow the appropriate level template above. When in doubt, start with Level 2. After reading, save the digest:
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.
"id": "ai.paperlantern/code", "name": "Paper Lantern", "description": "Research intelligence for AI coding agents. 2M+ CS papers with evidence and tradeoffs.",
