仓库/Skill 库

Systematic Review Mobile。Systematic Review Mobile

展示学术写作、数学排版、LaTeX、参考文献管理和研究文档的作品集A portfolio showcasing academic writing, mathematical typesetting, LaTeX, bibliography management, and research documentation.

研究情报组合（Research Intelligence Portfolio），展示在科学写作、研究策略、知识转化、基金申请、证据综合与科研创新方面的专业能力，将科学理念转化为面向学术界、产业界与国际组织的高影响力论文、竞争性基金申请与循证解决方案。Research Intelligence Portfolio showcasing expertise in scientific writing, research strategy, knowledge translation, grant development, evidence synthesis, and research innovation. Transforming scientific ideas into high-impact publications, competitive funding proposals, and evidence-based solutions for academia, industry and global organizations

面向生物医学系统综述的 Claude Code skills 协议：MCP 锚定引用、实证完整性、PRISMA/PROSPERO 系统综述、新颖性核查、Zotero 操作、并行审稿手稿修订，并提供面向健康科学研究策划的生信、临床与科学传播 skill 集合。Claude Code skills protocol for biomedical systematic review: MCP-grounded citations, empirical integrity, PRISMA/PROSPERO systematic reviews, novelty checks, Zotero operations, and parallel-critic manuscript revision — plus a curated set of bioinformatics, clinical, and scientific-communication skills for health-science research.

以静态优先的学术写作平台，支持草稿撰写、引用管理、文献综述、图表与可投稿的 PDF 输出。Static-first academic writing platform for drafting, citations, literature review, figures, and submission-ready PDFs.

采用可复现研究方法，开发面向西部地震区的 AI 辅助地震预警系统。Develop AI-assisted earthquake early warning systems for Western seismic regions using reproducible research methods.

为大学及国际学生提供专业的学术写作、论文与学期作业服务。Professional academic writing, essay, and term paper services for university and international students.

基于 Torch2PC 的预测编码硕士论文可复现项目：在 Ubuntu/ROCm 上对 backpropagation 进行逐层与 compute-matched 对比，实现 PC-CATM/PC-TREF，对 state inference 进行机制诊断，并构建 QWake-PC 以实现自适应 exact inference —— 面向机制可解释的可复现预测编码研究。Воспроизводимый проект магистерской диссертации по predictive coding в Torch2PC: послойное и compute-matched сравнение с backpropagation, PC-CATM/PC-TREF, механизмная диагностика state inference и QWake-PC для адаптивного exact inference в Ubuntu/ROCm — reproducible research on mechanism-aware predictive coding.

Research Paper Ranking Agent——用户向 Agent 提出研究问题，Agent 从 arXiv 检索学术论文，按相关性排序，并解释每篇论文排名的原因Research Paper Ranking Agent - a user gives the agent a research question, the agent retrieves academic papers from arXiv, ranks them according to relevance, and explains why each paper received its position.

有证据支撑的学术写作与修订技能：贡献优先的规划、引文支持、手稿审校，以及 LaTeX/Word 交付。Evidence-backed academic writing and revision skill: contribution-first planning, citation support, manuscript audits, and LaTeX/Word delivery.

基于 IMDb 与 Netflix 互动数据（20K+ 匹配条目）的内容表现与受众分群分析。围绕五个研究问题，采用经校验的统计方法（bootstrap CI、k-means、卡方、Random Forest）作答——旨在展示面向 Disney DTC 的内容规划与分析能力。完整方法论与已知局限性均已记录。Content performance & audience segmentation analysis using IMDb and Netflix engagement data (20K+ matched titles). Five research questions answered with validated statistics (bootstrap CIs, k-means, chi-square, Random Forest) — built to demonstrate Content Planning & Analysis skills for Disney DTC. Full methodology + known limitations documented.

基于 n8n 构建的多 Agent AI 研究助手——输入主题后自动规划研究问题、检索网络并生成完整报告；由 Groq (Llama 3.3) + Tavily 驱动Multi-agent AI research assistant built with n8n — takes a topic, plans research questions, searches the web and generates a full report automatically. Powered by Groq (Llama 3.3) + Tavily.

我的个人简历。My own Resume

分阶段的 AI 研究伙伴，辅助 UX 设计师从研究问题到独立可验证报告的完整流程。A staged AI research partner that takes a UX designer from research question to independently verified report.

PaperMind 是一个 AI 驱动的研究助手，可帮助用户撰写科研论文、开展文献综述、识别现有研究空白，运用多种机器学习模型与自然语言处理技术为用户提供洞察与建议The PaperMind project is an AI-powered research assistant that helps users in generating research papers, conducting literature reviews, and identifying gaps in existing research. It uses various machine learning models and natural language processing techniques to provide insights and suggestions to the users.

Kibin — 由 API Evangelist 出品的公共 API 表面的独立第三方画像。Kibin 是一家运营于 kibin.com 的消费者研究与学术写作公司，自 2011 年起受到学生信赖。其最新产品是一款 AI 驱动的学习伙伴（iOS app），可将讲座、笔记、PDF 与 YouTube 视频转化为个性化学习指南、测验……Kibin — independent third-party profile of a public API surface, by API Evangelist. Kibin is a consumer study and academic-writing company operating at kibin.com, trusted by students since 2011. Its newest product is an AI-powered study partner (iOS app) that turns lectures, notes, PDFs, and YouTube videos into personalized study guides, quizzes, f

自包含的系统综述工作台——多库检索、双评审筛选、AI 辅助批判性评价（RoB 2、ROBINS-I、GRADE…）。单 HTML 文件，无后端，数据不离开浏览器。Self-contained systematic review workbench — multi-database search, dual-reviewer screening, AI-assisted critical appraisal (RoB 2, ROBINS-I, GRADE…). One HTML file, no backend, data never leaves your browser.

交互式写作网站Interactive writing site

Narix Academy 的学术写作服务平台。Narix Academy's academic writing service platform

面向 AI 编程助手的 Agent skills —— 文档解析、PDF 工程、系统综述研究、闪卡与 WhatsApp 自动化。兼容 Claude Code、Cursor、Codex、ZCode。Agent skills for AI coding assistants — document parsing, PDF engineering, systematic-review research, flashcards, and WhatsApp automation. Works with Claude Code, Cursor, Codex, ZCode.

类 arXiv 风格的文献综述仓库，由科学家在 AI 辅助下撰写（CC BY 4.0）arXiv-style repository of literature reviews written by scientists with AI assistance (CC BY 4.0)

关于基于 AI Agent 的可靠企业数据智能（EDI）的研究笔记、研究日志、文献综述与 PoC 实验Study totes, research log, literature review, and PoC experiments on Reliable Enterprise Data Intelligence (EDI) with AI Agents.

交互式矩阵：展示各类 UX 研究方法分别回答何种研究问题，覆盖 Discover/Design/Develop/Deploy 四个阶段。Interactive matrix: which UX research method answers which research question, across Discover/Design/Develop/Deploy.

LLM 驱动的科学论文推荐系统LLM-driven scientific paper recommendation system

SLM-PICO-Screener 是用于自动化系统综述筛选的轻量 NLP 流水线，基于 Phi-3 Mini 配合 LoRA 与 4-bit 量化，将文章分类为 8 个 PICO 标签。体积约 90 MB，可在消费级 GPU/CPU 上运行，加速生物医学研究中的证据综合。SLM-PICO-Screener is a lightweight NLP pipeline automating systematic review screening. Built on Phi-3 Mini with LoRA & 4-bit quantization, it classifies articles into 8 PICO labels. At ~90 MB, it runs on consumer GPUs/CPU, accelerating evidence synthesis in biomedical research.

用于研究问题诊断和工作流支持的 Agentic 科学推理系统。Agentic scientific reasoning system for research-question diagnosis and workflow support.

OncoRAG 是一个 RAG 系统，为临床医生和研究人员提供即时获取最新肿瘤学证据的能力——来源包括直接来自 PubMed 的随机对照试验、Meta 分析、系统综述和 III 期临床试验。提出临床问题，即可获得带引文的可靠答案。OncoRAG is a Retrieval-Augmented Generation system that gives clinicians and researchers instant access to the latest oncology evidence — drawing from Randomized Controlled Trials, Meta-Analyses, Systematic Reviews, and Phase III Clinical Trials sourced directly from PubMed. Ask a clinical question, get a grounded answer with citations.

基于内容相似度的机器学习论文推荐系统，使用 Python 与自然语言处理技术。Machine learning recommendation system that suggests relevant research papers based on content similarity using Python and natural language processing techniques.

可复用的 Python 与 notebook 工作流，用于多语言科研数据准备、统计分析及 AI 文本检测器评估。Reusable Python and notebook workflows for multilingual research-data preparation, statistical analysis, and AI-text detector evaluation.

Spec-FastGS 论文工作区：代码、已下载论文库 + 文献综述、分析与报告。Spec-FastGS thesis workspace: code, downloaded paper library + literature review, analysis, and report.

AI 工程作品集，聚焦可控 Agent、可复现研究与本地生成式 AI 基础设施AI engineering portfolio focused on controllable agents, reproducible research, and local generative AI infrastructure.