仓库/Skill 库

RAG 管道的回归测试与配置扫描，附带统计学指标以判断变更是否真正带来改进。Regression testing and configuration sweeps for RAG pipelines, with the statistics to know whether a change actually helped.

SharpAI 是基于 llama.cpp（通过 LlamaSharp）构建的可嵌入 Embedding、补全与模型管理平台，内置 Ollama 兼容的 Web 服务。SharpAI is an embeddable embeddings, completions, and model management platform using llama.cpp via LlamaSharp, with a built-in Ollama-compatible webserver.

面向 Node.js 与 TypeScript 的 AI firewall。阻止 prompt injection、音频幻觉与 RAG 数据爬取。零依赖。MIT 许可。AI firewall for Node.js & TypeScript. Stop prompt injection, audio hallucinations, and RAG data scraping. Zero dependencies. MIT

Preprint Bot —— 学术论文推荐系统。Preprint Bot - Academic Paper Recommendation System

Remyx AI 的 CLI：安装 Outrider，管理研究兴趣，浏览论文推荐。CLI for Remyx AI: install Outrider, manage research interests, browse paper recommendations

动态 README，包含 AI 生成的 SCP 基金会与 Wikipedia 随机文章摘要。A dynamic README with AI-generated summaries of random articles from the SCP Foundation and Wikipedia.

论文 PDF 知识提取与学术写作 — Claude Code PluginPaper PDF Knowledge Extraction and Academic Writing – Claude Code Plugin

系统性文献综述辅助工具，可基于预定义标注体系对一组论文进行标注。A tool that helps in Systematic Literature Review for annotating a set of papers based on a defined annotation schema

CPersona — 持久化 AI 记忆服务器，具备 3 层混合搜索、置信度评分和 30 个工具，MIT 许可。CPersona — Persistent AI memory server with 3-layer hybrid search, confidence scoring, and 30 tools. MIT licensed.

本地优先、可审计的技术文档与源代码知识编译器。Local-first, auditable knowledge compiler for technical docs and source code

利用 LLM 提示词、证据链接笔记、Excel 跟踪与跨论文综合，从 PDF 自动生成博士文献综述Automate PhD literature reviews from PDFs with LLM prompts, evidence-linked notes, Excel tracking, and cross-paper synthesis.

从首次检索到完成的证据表，一站式文献综述。面向需要可复现系统综述的团队，以及在同一机制上完成论文检索的学生。A literature review, from the first search to the finished evidence table. For teams running a systematic review that has to be reproducible, and for students running a thesis search on the same machinery.

金融与生活交易学习 RAG 与 QuantConnect LEAN 回测工作流（FastAPI、Qdrant、pgvector、Docker）。금융·생활거래 학습 RAG와 QuantConnect LEAN 백테스트 워크플로우 (FastAPI, Qdrant, pgvector, Docker)

🔬 基于 AI 与研究论文对话，通过高级语义搜索与 RAG（检索增强生成）技术提取洞见与摘要。🔬 Chat with research papers using AI, extracting insights and summaries through advanced semantic search and Retrieval-Augmented Generation techniques.

基于 Zotero 的文献综述助手，支持基于原文的 PDF 抽取、声明验证、内容综合及 Semantic Scholar 检索Zotero-based literature review assistant for grounded PDF extraction, claim verification, synthesis, and Semantic Scholar search.

用于评估检索增强视觉语言模型在循证医学视觉问答中表现的研究框架Research framework evaluating retrieval-augmented vision-language models for evidence-grounded medical visual question answering.

支持从多源智能检索、筛选与总结科学论文，提升研究与报告生成效率Enable intelligent retrieval, filtering, and summarization of scientific papers from multiple sources for efficient research and report generation.

LOCAH.ai —— 基于 Wilfrid Laurier University 公开信息的助手。提供引用标注的回答、显式呈现的矛盾，以及 Laurier 信息在何处未能服务学生的证据。LOCAH.ai — an assistant over Wilfrid Laurier University's public information. Cited answers, surfaced contradictions, and evidence on where Laurier's information fails students.

AI辅助的系统文献综述，附带可追溯证据。AI-assisted systematic literature reviews with traceable evidence.

自托管、隐私优先的个人 AI 知识伴侣，具备 RAG 驱动的检索、智能 Agent 与可扩展 SDK。Self-hosted, privacy-first Personal AI Knowledge Companion with RAG-powered retrieval, intelligent agents, and extensible SDK

CorePapers - 面向留学生的 AI 学术写作助手CorePapers - AI Academic Writing Assistant for International Students

基于 specter2 + BERTopic 的 arXiv 论文发现——通过 embedding 检索与主题聚类实现每日论文推荐。arXiv paper discovery with specter2 + BERTopic — embedding-based retrieval and topic clustering for daily paper recommendations.

面向 Kubernetes 环境的 air-gapped RAG pipeline。在 LibreChat/LiteLLM/Keycloak/vLLM 之上增加文档摄取、强制的分类/可发布性标签、策展人审核与基于声明的访问控制检索，并以自定义 MCP 工具的形式对外暴露。Air-gapped RAG pipeline for Kubernetes environments. Adds document ingestion, mandatory classification/releasability tagging, curator review, and claims-based access-controlled retrieval on top of LibreChat/LiteLLM/Keycloak/vLLM — exposed as a custom MCP tool.

一条 RAG pipeline，从 Stack Overflow 抓取问答内容并转化为 RAG 格式，存储到 huggingface 数据集中。This is RAG pipeline that take question answer from Stack Overflow and convert it to rag and get stored in the dataset in huggingface

🤖 自主研究论文分析器——下载 arXiv 论文，通过 HuggingFace Transformers 运行本地 LLM 分析，并将 AI 生成的文献综述发布至 GitHub Pages。🤖 Autonomous Research Paper Analyzer — Downloads arXiv papers, runs local LLM analysis via HuggingFace Transformers, and publishes AI-generated literature reviews to GitHub Pages

[进行中 / 实验性] 关于免疫检查点抑制剂耐药性的活态文献综述。[WIP / experiment] Living literature review of resistance to immune checkpoint inhibitors

📊 通过构建知识图谱并从文档语料中提取洞察，简化面向查询的摘要流程——基于 GraphRAG 流水线。📊 Streamline query-focused summarization by constructing knowledge graphs and extracting insights from document corpora with the GraphRAG pipeline.

使用本地 LLM 与私密法律文档对话，在自有硬件上获得带引用、可验证的答案。Chat with private legal documents using local LLMs. Get cited, verifiable answers on your own hardware.

用于拆解复杂技术文档的 RAG 应用A RAG app to breakdown complex technical documents

AI Research Wiki 2026：通过深度引用综合自动构建知识库AI Research Wiki 2026: Auto-Building Knowledge Base with Deep Citation Syntheses

基于 LlamaIndex、Redis 与 PII 脱敏的 RAG 搜索引擎。RAG search engine using LlamaIndex, Redis, and PII masking.

使用先进的 RAG 系统发现你的下一部心仪动画，提供精准推荐与增强语义搜索。🎬 Discover your next favorite anime with this advanced Retrieval-Augmented Generation system, offering precise recommendations and enriched semantic search.

Python 文献综述工具包：跨 arXiv、PubMed、Semantic Scholar、CrossRef、OpenAlex 与 DBLP 的统一检索；带重试追踪与索引的并行 PDF 下载；本地 Ollama LLM 摘要；BibTeX 导出；含 PCA、关键词聚类与出版趋势的元分析图表。Python literature-review toolkit: unified search across arXiv, PubMed, Semantic Scholar, CrossRef, OpenAlex and DBLP, parallel PDF download with retry tracking and indexing, local Ollama LLM summarization, BibTeX export, and meta-analysis plots including PCA, keyword clustering and publication trends.

将学术论文转换为带注释、浏览器友好的网页，逻辑配色清晰、导航便捷，由 OpenAlex 数据驱动。Convert academic papers into annotated, browser-friendly web pages with color-coded logic and easy navigation powered by OpenAlex data.

一个面向 PDF 文档问答的全栈 RAG 应用：上传 PDF，将其索引到本地向量库，然后基于页面级答案进行对话，并在内置阅读器中通过可点击引用跳转到对应页面。A full-stack retrieval-augmented generation (RAG) application for question answering over PDF documents. Upload a PDF, index it into a local vector store, then chat with page-grounded answers and clickable citations that jump to the right page in the built-in viewer.