仓库/Skill 库

探索由 19,846 篇量子计算论文组成的 AI 原生知识库，面向搜索、趋势分析与 LLM 友好的研究工作流Explore an AI-native knowledge base of 19,846 quantum computing papers, built for search, trend analysis, and LLM-ready research workflows

基于 Zotero 文献库的每日 arXiv 论文推荐。Daily arXiv paper recommendations based on Zotero library

多阶段气候声明检索与排序：BM25、稠密 ANN、融合、重排序与评估Multi-stage climate claim retrieval and ranking: BM25, dense ANN, fusion, reranking, and evaluation

FinHop 是专为机构股票分析打造的多跳金融研究助手。它摄取 SEC 文件（10-K、10-Q），将其建模为时序感知、按公司组织的检索图，并回答需要跨多份文档、多家公司与多个财周期证据的对比与趋势类研究问题。FinHop is a multi-hop financial research assistant purpose-built for institutional equity analysis. It ingests SEC filings — 10-Ks, 10-Qs ,models them as a time-aware, company-aware retrieval graph, and answers comparative and trend-based research questions that require evidence from across multiple documents, companies, and fiscal periods.

Telegram RAG 机器人，以暗黑荒诞的《权力的游戏》谋士风格回答问题；支持英中双语，基于 LLaMA 3.3 70B + Firestore 向量搜索。A Telegram RAG bot that answers your questions as a darkly absurdist Game of Thrones advisor — bilingual (EN/ZH), powered by LLaMA 3.3 70B + Firestore vector search.

检索 EndNote XML 元数据，保守地匹配本地 PDF，并以可追溯的证据回答研究问题。Search EndNote XML metadata, conservatively match local PDFs, and answer research questions with traceable evidence.

开发一个研究论文推荐系统，分析关键词、摘要、引用与用户兴趣以推荐相关论文。该系统使用图算法、相似度排序和优化技术，为研究者和学生提供个性化建议。Here's a version with **exactly 300 characters**: > Develop a research paper recommendation system that analyzes keywords, abstracts, citations, and user interests to recommend relevant papers. It uses graph algorithms, similarity ranking, and optimization techniques to deliver personalized suggestions for researchers and students.

🧪 实验性本地优先 RAG，附带桌面 GUI：将文档拖入文件夹即可对话聊天，内置 Ollama / fastembed / OCR / reranker。🧪 Experimental local-first RAG with desktop GUI — drop documents in a folder, chat with them. Ollama / fastembed / OCR / reranker built in.

部署并运行本地 RAG 实例Deploy and run a local RAG instance

系统综述与 Meta 分析的检索、提取与分析代码，主题为基于可穿戴设备生命体征的被动认证。Retrieval, Extraction and Analysis Code for a Systematic Review and Meta-Analysis on Passive Authentication using Vital Signs Collected Via Wearable Devices

Claude Code 插件：从 arXiv、Semantic Scholar 与 OpenAlex 拉取指定主题的近期真实论文，并以独立的交互式 HTML 阅读器交付，支持 Markdown / JSON / BibTeX / RIS 导出。Claude Code plugin: fetch real recent papers on a topic from arXiv, Semantic Scholar and OpenAlex, and deliver them as a self-contained interactive HTML reader with Markdown / JSON / BibTeX / RIS export.

📚 用于采集开放获取学术期刊的 Python CLI（OpenAlex + Semantic Scholar + Crossref + Unpaywall）— 导出 Obsidian Markdown、CSV 并自动下载 PDF。为毕业论文文献综述而构建。📚 CLI Python untuk mengumpulkan jurnal akademik open-access (OpenAlex + Semantic Scholar + Crossref + Unpaywall) — export Markdown Obsidian, CSV, dan download PDF otomatis. Dibuat untuk literature review skripsi.

🔍 Self-Corrective RAG 基于 LangGraph 与 Google Gemini 优化查询并评估文档相关性，提升检索效果🔍 Enhance your searches with Self-Corrective RAG, a system that optimizes queries and evaluates document relevance using LangGraph and Google Gemini.

基于本地 RAG 的 AI 研究助手，用于分析学术论文、总结研究发现、对比研究，并以页级引用回答研究问题。构建于 Python、Streamlit、Chroma、Sentence Transformers、Ollama 和 Llama 3。An AI research assistant using local RAG to analyze academic papers, summarize research findings, compare studies, and answer research questions with page-level citations. Built with Python, Streamlit, Chroma, Sentence Transformers, Ollama, and Llama 3.

一款本地化、隐私优先的 LLM 助手，提供学术写作辅助、音频转写、文档检索与数据分析。A local, privacy-first LLM assistant that performs academic writing assistance, audio transcription, document retrieval, and data analysis.

基于 .NET 的 RAG 文档摄取流水线 — 追踪 git 备份仓库中的文件夹，提取并分块文件，保持向量索引同步。.NET document ingestion pipeline for RAG — tracks a folder of files in a git-backed vault, extracts and chunks them, and keeps a vector index in sync.

基于你的 Zotero library 的个人论文推荐器。Personal paper recommender based on your Zotero library

ChatGPT 风格 AI 助手，面向 UET Taxila 学生——通过 RAG 基于真实大学数据回答招生/学费/课程问题，而非猜测。采用 Next.js、Convex 与 multi-LLM 路由。ChatGPT-style AI assistant for UET Taxila students - answers admissions/fees/courses questions using real university data via RAG, not guessing. Next.js, Convex, multi-LLM routing.

证据优先的科研桌面工具，支持论文发现、PDF 证据抽取、论点分析、对比与文献综述综合Evidence-first research desk for paper discovery, PDF evidence extraction, claim analysis, comparison, and literature review synthesis.

在 Overleaf 中直接启用 AI 驱动的引用检索与论文审阅，提升写作与引用效率。Enable AI-driven citation search and paper review directly within Overleaf to improve referencing and writing efficiency.

LLM 的知识截止会使文献综述过时或不完整；RAG 与时序感知检索可提升时效性，但无法完全解决引用、来源选择与时间推理问题。LLM knowledge cutoffs can make literature reviews outdated or incomplete, while RAG and time-aware retrieval can improve freshness but do not fully solve citation, source-selection, and temporal reasoning problems.

集成 RAG、知识图谱、语义搜索、论文推荐与本地 LLMs 的 AI 研究助手AI Research Assistant with RAG, knowledge graphs, semantic search, paper recommendations, and local LLMs.

确定性研究亲和度匹配、文献空白发现（Ω 指数）、跨学科共同作者雷达，以及不产生生成式幻觉的逐字引文证据审计。Deterministic research affinity matching, literature white-space discovery (Ω index), cross-disciplinary co-author radar, and verbatim citation evidence auditing without generative hallucinations.

面向多源检索、证据抽取与带引用研究摘要的自主 AI 研究助手。Autonomous AI research assistant for multi-source retrieval, evidence extraction, and cited research summaries.

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.

🍀 OpsRAG 是基于 RAG 的技术事故调查助手，帮助 DevOps 工程师、SRE、云工程师与平台工程师排查基础设施、应用与分布式服务问题🍀 OpsRAG is a technical incident investigation assistant based on Retrieval-Augmented Generation, designed to help DevOps engineers, SREs, Cloud Engineers, and Platform Engineers investigate problems in infrastructure, applications, and distributed services.

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.

面向英语专业本科生的一站式学术研究与论文写作工作流：文献精读、Source Map、Research Gap、语言学 APA 与文学 MLA。An end-to-end research and academic writing workflow for English majors.

Wenshu（文枢）— 面向人文社科研究的 AI 知识处理工作流：本地知识库 / RAG / 中文引文 / 理论谱系。AI knowledge workflow for humanities & social sciences: local knowledge base, RAG, citation (GB/T 7714), knowledge graph.

基于 Semantic Scholar 与 Crossref 的安全加固、双模式学术搜索工作台。A security-hardened, dual-mode scholarly search workbench powered by Semantic Scholar and Crossref.