仓库/Skill 库

基于 LLM 的自优化 markdown 维基构建工具，面向科研场景A self-refining LLM-powered markdown wiki builder for scientific research

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.

Semantic Search for Pi 2026：本地知识库与 AI 工具。Semantic Search for Pi 2026: Local Knowledge Base & AI Tool

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

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.

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.

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.

开源、原生支持 Claude 的文献综述工作流工具：支持 arXiv/DOI/URL/PDF 论文导入、章节抽取，并通过 paper-qa 实现单篇论文问答Open-source, Claude-native literature-review workflow tool: arXiv/DOI/URL/PDF paper ingest, section extraction, single-paper Q&A via paper-qa.

Agentic RAG：回答前对每条引用与原文进行核对，证据不足时弃答。具备自纠正检索循环、确定性引用锚定以及 prompt injection 防御能力。Agentic RAG that verifies every citation against source text before answering, and abstains when the evidence does not hold. Self-correcting retrieval loop, deterministic citation grounding, prompt-injection defence.

本项目根据用户检索与数据集中已有论文进行论文推荐This project recommends paper based upon your search and available papers inside the dataset

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.

RAMR —— 检索增强记忆可靠性：面向 Agentic-RAG / 记忆系统的抗污染合成基准（附方法与发现）。RAMR — Retrieval-Augmented Memory Reliability: a contamination-resistant synthetic benchmark for agentic-RAG / memory systems (findings + method)

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.

Syx 是一个面向长周期项目与编码 Agent 的实验性本地 AI 记忆系统，探索主动上下文、日记忆滚动回收、睡眠式记忆整合、长期 RAG 检索、类梦境综合以及 markdown 记忆制品Syx is an experimental local AI memory system for long-running projects and coding agents. It explores active context, daily memory rolloff, sleep consolidation, long-term RAG retrieval, dream-like synthesis, and markdown memory artifacts.

综述论文《From Representation Learning to Foundation Models》的官方仓库。系统综述空间转录组学与病理学的多模态融合，提出三层分类法（Embedding、Model、Knowledge 层级）及 2018 至 2025 的演进路线图。Official repository for the survey "From Representation Learning to Foundation Models". A systematic review of multimodal fusion for Spatial Transcriptomics and Pathology, featuring a three-tier taxonomy (Embedding, Model, and Knowledge levels) and an evolutionary roadmap from 2018 to 2025.

钥石复盘：面向魔兽世界大秘境玩家的 AI 复盘教练（战术意图理解 + 社区知识库 RAG）

面向文献综述与历史学期刊策略的合规本地优先 Codex Skills。Rights-safe local-first Codex Skills for literature review and history journal strategy.

可审计的按需学术文献综述引擎Auditable on-demand academic literature review engine

本地 LLM 基准测试、RAG、语音交互与 AI 助手Local LLM benchmarking, RAG, voice interaction and AI assistant