仓库/Skill 库

AI 系统AI System

基于 NLP 与语义嵌入（SciBERT/SPECTER）的 AI 论文推荐系统。用户输入论文或关键词，即可获得排序后的上下文相关推荐，解决关键词检索造成的信息过载，加速学术文献发现。An AI-powered system that recommends relevant research papers using NLP and semantic embeddings (SciBERT/SPECTER). Users input a paper or keywords and receive ranked, context-aware suggestions—solving information overload from keyword-based search and speeding up academic literature discovery.

Zhixin Li 的学术主页：超声医学、医学影像 AI、多模态学习与可复现研究。Academic homepage of Zhixin Li: ultrasound medicine, medical imaging AI, multimodal learning, and reproducible research.

面向 AI Agent 的学术研究情报——论文检索、科学文献、引用分析、arXiv、作者指标、前沿研究与语义相关工作（pgvector）。支持 MCP + x402。Academic research intelligence for AI agents — paper search, scientific literature, citation analysis, arXiv, author metrics, trending research & semantic related-work (pgvector). MCP + x402.

Journal Finder V7.0（期刊匹配工具 V7.0）。Journal Finder V7.0

Journal Finder V6.0（期刊匹配工具 V6.0）。Journal Finder V6.0

Journal Finder V4.0（期刊匹配工具 V4.0）。journal Finder V4.0

Journal Finder V2.0Journal Finder V2.0

Journal Finder V1.0journal finder V1.0

Fiberarticle 是一个 Agentic AI，可自主开展研究、执行文献综述并撰写可发表级的论文Fiberarticle is an Agentic AI that researches, performs literature reviews, and writes publication-ready article papers.

面向研究生学术英语写作、研究设计、伦理、修改与发表的韩文交互式现场指南Interactive Korean field guide for graduate academic English writing, research design, ethics, revision, and publication

ResearchIQ Copilot 是一款 AI 驱动的学术研究助手，允许用户与研究论文对话、生成文献综述、识别研究空白、对比方法论、发现经核验的同行评审研究，并将研究成果导出为 PDF 报告ResearchIQ Copilot is an AI-powered academic research assistant that allows users to chat with research papers, generate literature reviews, identify research gaps, compare methodologies, discover verified peer-reviewed studies, and export research outputs as PDF reports.

ZN 十年期国债期货与 6E 欧元外汇期货日内 VWAP 均值回归的系统研究，包括数据验证、统计分析、回测、Monte Carlo 模拟与实盘部署。Systematic research on intraday VWAP mean reversion in ZN Treasury and 6E Euro FX futures, including data validation, statistical analysis, backtesting, Monte Carlo simulation, and live deployment.

基于 Agentic LLM 的系统综述数据提取。Agentic LLM-assisted data extraction for systematic reviews

统计学学生，专注于可复现研究与数据项目。Statistics student focused on reproducible research and data projects.

ScientiaPilot 公开展示——从研究问题到发表全流程的科研出版操作系统。Public showcase for ScientiaPilot — a research publication operating system from research question to publication.

Python 包，作为可复现的科学刺激生成视觉、听觉和视听错觉 —— 17 个已编目错觉导出为 PNG、WAV、GIF、MP4 和 NPZ，附带 SHA-256 清单与确定性随机种子，含 15 个附带源数据边车的发表级图表，测试覆盖率 90% 以上Python package that generates optical, auditory and audio-visual illusions as reproducible scientific stimuli — 17 catalogued illusions exported to PNG, WAV, GIF, MP4 and NPZ with SHA-256 manifests, deterministic seeds, 15 publication figures with source-data sidecars, and 90%+ test coverage.

语言 case 的范畴论处理，集成 Active Inference 与 CEREBRUM 架构：DisCoPy 弦图横跨类型学、范畴语法、拓扑斯理论及量子扩展，生成 30 个发表级图表与一篇 24 节的手稿。1,207 个测试，覆盖率 95.96%，零 mockCategory-theoretic treatment of linguistic case integrated with Active Inference and the CEREBRUM architecture: DisCoPy string diagrams spanning typology, categorial grammar, topos theory, and quantum extensions, generating 30 publication figures and a 24-section manuscript. 1,207 tests, 95.96% coverage, zero mocks.

系统综述材料：研究方案、PRISMA 记录、各研究的数据以及筛选决策。Systematic review materials: protocol, PRISMA records, per-study data, screening decisions

GreenQuill - 学术写作与碳研究咨询。GreenQuill - Academic Writing & Carbon Research Consultancy

支持自主实验、文献发现、循证科学写作与 AI 同行评审的 Agentic 研究流水线。An agentic research pipeline for autonomous experimentation, literature discovery, evidence-grounded scientific writing, and AI peer review.

智能研究论文推荐系统，聚合 ArXiv 与 Semantic Scholar 内容，简化学术发现流程。An intelligent research paper recommender system aggregating content from ArXiv and Semantic Scholar to streamline academic discovery.

面向 AI Agent 集体行为可复现研究的开放实验平台An open experimental laboratory for reproducible research on collective AI-agent behavior

将研究压缩包转化为可搜索、可引用的素材。拆分为论文、代码与数据集，索引后即可提出 Deep Research 问题，并引用页码与源行。Self-hosted（Postgres、MinIO、Qdrant）。Turn research zips into searchable, citable materials. Split papers, code, and datasets; index them; ask Deep Research questions that cite pages and source lines. Self-hosted (Postgres, MinIO, Qdrant).

Download consensus ai，可在数秒内从科学论文中获取有证据支撑的答案。面向学生、临床工作者与好奇读者，Consensus 将复杂研究转化为清晰、带引用的洞察，是值得信赖的共识研究工具，助力更快文献综述与更明智决策。Download consensus ai to find evidence-backed answers from scientific papers in seconds. Built for students, clinicians, and curious readers, Consensus turns complex studies into clear insights with citations, making it a trusted consensus research tool for faster literature review and smarter decisions.

全球研究者的终极 AI 驱动发现平台。统一搜索 8+ 专业数据库（NCBI、arXiv、OpenAlex），结合 Llama 3.1 驱动的综合分析、RAG 问答与自动化文献综述。The ultimate AI-powered discovery hub for global researchers. Unified search across 8+ specialized portals (NCBI, arXiv, OpenAlex) with Llama 3.1-driven synthesis, RAG chat, and automated literature reviews.

面向基于丙泊酚的 ICU 镇静的计算数字孪生：SQL 数据提取、特征工程、消融实验和论文图表。Computational digital twin for propofol-based ICU sedation: SQL extraction, feature engineering, ablation experiments, and publication figures.

基于 Kaggle Zomato Bangalore 数据集的餐厅数据分析与可视化，涵盖数据预处理、探索性分析、研究问题与可视化。Restaurant data analysis and visualization using the Zomato Bangalore dataset from Kaggle, covering data preprocessing, exploratory analysis, research questions, and visualization.

后端/平台软件工程师，构建 local-first 开发者工具、可信赖自动化与可复现研究软件。Backend/platform software engineer building local-first developer tools, trustworthy automation, and reproducible research software.

面向研究 Agent 的结构感知科学英语写作 Skill（POLISH/REWRITE/GENERATE）。MIT，欢迎贡献。Structure-aware scientific English writing skill for research agents (POLISH/REWRITE/GENERATE). MIT, contributions welcome.

用于自动化论文分析与文献综述的 Agentic AIAgentic AI for Automated Research Paper Analysis and Literature Review

统一 9 种学术 API（PubMed、OpenAlex、arXiv、Semantic Scholar 等）的学术摘要获取器，以单一 Python 接口对外提供。Academic abstract fetcher unifying 9 scholarly APIs (PubMed, OpenAlex, arXiv, Semantic Scholar…) behind one Python interface

基于仿真的 MRI 调度策略分析，结合统计分析与离散事件仿真，以优化资源利用率、等待时间、加班时长与患者吞吐量。Simulation-based analysis of MRI scheduling policies, combining statistical analysis and discrete-event simulation to optimize resource utilization, waiting times, overtime, and patient throughput.

研究与数据分析师 | 数据科学硕士在读 | Python • R • Stata • 统计分析Research & Data Analyst | MSc Data Science Student | Python • R • Stata • Statistical Analysis

Systematic Review Manager。Systematic Review Manager