仓库/Skill 库

AI 驱动的 DevSecOps 可观测平台，基于 Gemini 2.5、LangChain 与 RAG 驱动的 runbook 监控基础设施、检测威胁并自动响应。AI-powered DevSecOps observability platform; monitors infrastructure, detects threats, and responds using Gemini 2.5, LangChain, and RAG-powered runbooks.

端到端 Python RAG 框架，包含文档摄取、语义搜索、对话式 AI、多用户检索、可观测性、结构化输出与评估。An end-to-end Python RAG framework featuring document ingestion, semantic search, conversational AI, multi-user retrieval, observability, structured outputs, and evaluation.

AI 研究工作台：提供 arXiv 论文推荐、论文/摘录文件夹，以及可将想法收藏的书签式对话窗口AI research workspace — arXiv paper recommendations, folders of papers/excerpts, and chat windows you bookmark ideas into.

本地优先、证据优先的研究工作区：CLI 与 Web UI 用于管理来源、论断、引用、产物、研究问题与项目记忆；默认确定性执行，AI 功能仅在显式启用时启用Local-first, evidence-first research workspace: CLI and web UI for managing sources, claims, citations, artefacts, research questions, and project memory. Deterministic by default; AI features are explicit opt-in only.

使用 OpenAI Python SDK 嵌入开发者工具文档并对查询匹配进行排序。Embed developer-tool documents and rank query matches with the OpenAI Python SDK.

CampusIQ 是由 AI 驱动的学术知识管理与问答系统，借助 RAG、语义搜索、OCR、图像理解以及基于 LLM 的回答生成，实现教育内容的智能检索与分析。CampusIQ is an AI-powered academic knowledge management and question-answering system that enables intelligent retrieval and analysis of educational content using RAG, semantic search, OCR, image understanding, and LLM-based response generation.

一个生产级 RAG 系统，能自主决定检索方式——从本地向量库、Web 搜索或两者结合，以引用、多源综合的方式回答研究问题A production-grade RAG system that autonomously decides how to retrieve information — from a local vector store, web search, or both to answer research questions with cited, multi-source synthesis.

面向生态学文献综述的 AI 辅助流水线，内置对 iEcology 与保护生物学相关数据源（社交媒体追踪、博物馆标本记录、新闻档案）的支持。AI-assisted pipeline for ecological literature review with built-in support for data sources relevant to iEcology and conservation biology (social-media tracking, museum specimen records, news archives).

文献综述 AI 工作台Literature Review AI Workbench

可复现研究流程，通过改造预训练 LLM tokenizer 降低尼泊尔天城文分词成本：连续/字素感知的 BPE 候选挖掘、基于边际增益的贪心词表选择、保留 ID 的 merge 拼接、基于分解的 embedding 初始化，以及 embedding-only/LoRA/CPT 适配；面向 6GB 笔记本 GPU 调优。Reproducible research pipeline that reduces Nepali Devanagari tokenization tax by retrofitting a pretrained LLM tokenizer: continued/grapheme-aware BPE candidate mining, greedy marginal-gain vocabulary selection, ID-preserving merge splicing, decomposition-based embedding init, and embedding-only/LoRA/CPT adaptation. Tuned for a 6GB laptop GPU.

一款连接 AI 助手与 Sci-Hub 的 MCP 服务器，用于自动化学术研究。专为 RAG 设计，可绕过付费墙、处理验证码、通过 OCR 提取文本，并作为循证推理的主要数据获取器An MCP server that bridges AI assistants with Sci-Hub for automated academic research. Designed for Retrieval-Augmented Generation (RAG), it bypasses paywalls, handles captchas, extracts text via OCR, and serves as the primary data-fetcher for evidence-based reasoning.

🧠 为 Telegram、Discord 与 Reddit 打造的私有、源码溯源知识库，基于混合 RAG，并提供每周摘要。🧠 Private, source-grounded knowledge base for Telegram, Discord, and Reddit with hybrid RAG and weekly digests.

一个由 AI 驱动的科研情报平台，利用 LLM 和现代 NLP 技术，实现语义搜索、基于 RAG 的问答、文献综述生成、研究空白检测、知识图谱构建、引文管理以及科研写作辅助。An AI-powered Research Intelligence Platform that enables semantic search, RAG-based question answering, literature review generation, research gap detection, knowledge graph construction, citation management, and scientific writing assistance using LLMs and modern NLP techniques.

基于已验证决策构建的共享 intelligence 层。A shared intelligence layer built from verified decisions.

超强版 PDF 阅读器PDF Reader superpowered

混合 RAG 系统，具备 reranking、基于引用的 grounded citations，以及可选 provider-backed 执行的可确定离线评估分级。A hybrid RAG system with reranking, grounded citations, and deterministic offline evaluation tiers with optional provider-backed execution.

Systematic Reviewer 是 Zotero 文献管理器的第三方扩展，专为系统综述与文本类研究分析设计，将文献集合转化为支持筛选、抽取、语义检索、报告撰写与可追溯研究流程的项目工作区Systematic Reviewer is built as a third-party extension for Zotero reference manager for systematic reviews and text-based research analysis, it turns a library collection into a project workspace for screening, extraction, semantic search, report development, and traceable research workflows.

AI 驱动的科研助手，支持论文检索、下载、阅读、引用与对话；包含 Zotero 同步、系统综述与智能引用功能。AI-powered research assistant — search, download, read, cite, and chat with academic papers. Zotero sync, systematic review, and smart citations included.

离线优先的 AI 研究助手，用于识别研究空白、对比学术文献、检测潜在矛盾、生成研究问题，并与上传的论文对话。An offline first AI research assistant for identifying research gaps, comparing academic literatures, detecting possible contradictions, generating research questions and chatting with uploaded papers

arXiv 每日摘要：面向研究者的 AI 驱动论文推荐arXiv daily digest: AI-powered paper recommendations for researchers

基于 TF-IDF 和线性 SVM 的临床句子角色分类，用于医学系统综述。Clinical sentence-role classification using TF-IDF and a linear SVM for medical systematic reviews.

用于生成文献综述的全栈系统，基于导入的数据构建，用户可自由选择 LLM。A full stack system use to generate literature review base on dataa imported, users can choose between llms.

帮助你查找学术期刊的学术期刊查找工具ACADEMIC JOURNAL finder to help

快速查找可用于发表的学术期刊。To find academic journal quickly for publication.

面向 AI 饮食评估研究的 3 周入门计划：文献综述、分割、LLM 与 RAG。3-week onboarding plan for AI dietary assessment research: literature review, segmentation, LLMs, and RAG

系统综述systematic reviews

该网站部署在不同的托管平台：vercel - https://litsphere.vercel.app，netlify - https://literature-review-just.netlify.app/This Website deploy at different host website : vercel - https://litsphere.vercel.app, netlify - https://literature-review-just.netlify.app/

NLP 案例研究NLP Case Study

Astro 静态站点，英意双语，安全设计（security-by-design），AI 辅助的月度 RAG 杂志。部署于 Cloudflare。Astro (static), bilingual EN/IT, security-by-design, AI-assisted monthly RAG magazine. Deployed on Cloudflare.

文献综述站点Literature review site

第四周小组文献综述Group Literature Review for Week 4

对 2024 年 8 月至 2026 年 8 月间 20 本期刊发表的 3,639 篇媒体与传播学文章的交互式扫描，基于 Crossref 与 OpenAlex。这是一个分诊工具而非系统综述——局限性请参阅 README。Interactive scan of 3,639 media & communication articles published Aug 2024 - Aug 2026 across 20 journals. Crossref + OpenAlex. A triage tool, not a systematic review - see README for limitations.