Paperscraper
jannisborn
Tools to scrape publications & their metadata from pubmed, arxiv, medrxiv, biorxiv and chemrxiv.
OPENAGENTSKILL / DIRECTORY
Find a skill for your next task. Explore tools for Codex, Claude Code, Cursor and more.
81–96 / 401
Candidates in this shortlist, not the full registry. GitHub stars belong to repositories, not individual skills.
Results: 401
jannisborn
Tools to scrape publications & their metadata from pubmed, arxiv, medrxiv, biorxiv and chemrxiv.
vict0rsch
Your browser's reference manager: automatic paper detection (Arxiv, OpenReview & more), publication venue matching and code repository discovery! Also enhances ArXiv: Bi…
ApodexAI
Evaluation harness for Apodex-1.0 on public deep-research benchmarks.
j3soon
Meaningful titles for tabs and PDF downloads! Also supports tab search.
appautomaton
A highly customizable agentic harness for arXiv-ready ML/AI review papers (and beyond). It drives agentic AI like Codex CLI and Claude Code through a gated LaTeX workflo…
ferdinandobons
AI agent skills for startup validation, competitive intelligence, and planning
AllanChain
Helper for managing arXiv papers in Zotero
federicodeponte
Open-source AI thesis writer with 19 specialized agents. Generate 20k+ word research drafts in 10 minutes. FREE (Gemini). Verified citations from 500M+ papers. Export PD…
jonatasgrosman
Findpapers: A tool for helping researchers who are looking for related works
Xueyang-Song
Research-paper workflow tool for literature triage and structured reading
texttron
BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent (ACL 2026 Main)
Yuan1z0825
Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Us…
byteseek
Agent-native investment research workspace for evidence-tracked, refreshable investment theses across equities, earnings, macro, and portfolio review.
PAIR-code
Lumi uses AI-powered features to help you read arXiv papers.
OSU-NLP-Group
"QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks"