部署并运行本地 RAG 实例Deploy and run a local RAG instance
仓库/Skill 库
3136 个
使用部署在 streamlit 上的 MCP server 构建的旅行 Agent。A Travel Agent Built using a MCP server which is deployed in streamlit
一篇文献综述(Quarto 书),针对依赖效应量下的贝叶斯元分析稳健方差估计,论证 Cholesky 校准修正(CCC)A literature review (Quarto book) of robust variance estimation for Bayesian meta-analysis with dependent effect sizes — the case for Cholesky Calibration Correction (CCC)
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
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
可执行真实操作的 AI agent 层级——shell、GitHub、邮件、采购——以代码编写(非配置)的审批底线(Latch)作为门槛。零依赖。A hierarchy of AI agents that take real actions — shell, GitHub, email, purchases — behind an approval floor written in code, not configuration (Latch). Zero dependencies.
跨影像模态与临床需求的医学图像分割方法文献综述。Literature review of medical image segmentation methods across imaging modalities and clinical needs
面向天线与相控阵 PCB 的设计编译器:输入 YAML 规格,输出综合布局、KiCad DRC 校验与 openEMS 全波验证。核心为确定性 Python 实现,可通过 MCP 被 Agent 调用。Design compiler for antenna and phased-array PCBs: YAML spec in, synthesized layout, KiCad DRC, and openEMS full-wave verification out. Deterministic Python core, agent-ready via MCP.
已取代并撤回——未经验证的效应量数据集,请勿使用或引用。已由 github.com/JK-Sah/carbonation-lca-review 替代,参见 CORRECTION.md。SUPERSEDED AND WITHDRAWN — unverified effect-size dataset; do not use or cite. Replaced by github.com/JK-Sah/carbonation-lca-review. See CORRECTION.md
一个可复现的研究原型,针对漂移感知欺诈检测,采用 actor-critic 强化学习、动态特征重加权与自适应回放,应对交易分布的持续演化A reproducible research prototype for drift-aware fraud detection using actor-critic reinforcement learning, dynamic feature reweighting, and adaptive replay under evolving transaction distributions.
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.
数学建模论文 LaTeX 模板 / Mathematical Modeling LaTeX Template:适合全国大学生数学建模竞赛(CUMCM)、校赛、平时作业。含 AI 写作协议、Python 数据流水线、自检脚本、GitHub Actions CI、GB/T 7714 参考文献样式。搜索关键词:数学建模、LaTeX模板、论文模板、数模竞赛、mathematical modeling、latex template、cumcm。
领域系统性调研体系:基于 bibliometrix 的文献计量分析 + 思想流派演变/冲突缺口/未来方向 + 两轮验证系统性报告(R/Shiny)
📚 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.
可移植的学术写作技能与跨 Agent 工作流系统。可见性:私有Portable academic writing skills and cross-agent workflow system Visibility:Private
一个 multi-agent 流水线,将研究问题转换为可直接播放的播客——生成双主持人 MP3 以及 AI 生成的单集封面图 🎙️A multi-agent pipeline that turns a research question into a ready-to-play podcast — a two-host MP3 plus AI-generated episode cover art 🎙️
基于 GitHub Page 的 2026 年文献综述 Miscanthus 产量制图演示。Demonstration of GitHub Page with Miscanthus Yield mapping for Literature Review 2026
可复现研究原型:面向有状态云服务的碳感知与 SLO 约束自动伸缩A reproducible research prototype for carbon-aware SLO-constrained autoscaling of stateful cloud services using synthetic workload traces, a threshold baseline, and a predictive risk-aware autoscaling policy.
🔍 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.
自托管的个人上下文服务器 — 你与 AI Agent 共享统一的知识与信任边界:知识库、检索、凭证与 Agent 记忆,通过 MCP 挂载Self-hosted personal context server — one knowledge and trust boundary shared by you and your AI agents: knowledge base, retrieval, credentials, and agent memory, mounted over MCP
Semantic Search for Pi 2026:本地知识库与 AI 工具。Semantic Search for Pi 2026: Local Knowledge Base & AI Tool
无人机系统(UAS)在生态学研究中应用的系统综述。Systematic Review of UAS use in ecological research
可审计的 Codex skill 与 Python 项目包,用于证据可追溯的研究、系统综述、投稿与修订。Auditable Codex skill and Python project pack for evidence-traceable research, systematic reviews, submission, and revision.
面向 ChatGPT、Codex、Claude 与 MCP 客户端的 Vucar 官方公开车辆智能插件Official public Vucar vehicle-intelligence plugins for ChatGPT, Codex, Claude, and MCP clients.
Jadon Writes 提供的专业学术写作与研究支持服务Professional academic writing and research support services by Jadon Writes.
应用型 AI 网络安全研究实验室,涵盖机器学习威胁检测、对抗机器学习、鲁棒性、网络威胁情报、MITRE ATT&CK/ATLAS、LLM 安全与可复现研究。Applied AI Cybersecurity research labs covering machine learning threat detection, adversarial ML, robustness, cyber threat intelligence, MITRE ATT&CK/ATLAS, LLM security and reproducible research.
证据优先的 AI 科研平台,支持文献综述、科学写作、配图生成与可发表论文产出Evidence-first AI research platform for literature review, scientific writing, figure generation, and publication-ready papers.
Claude Code、OpenCode、Cursor 与 Vercel skills CLI 可复用的 Agent skill。Reusable agent skills for Claude Code, OpenCode, Cursor, and the Vercel skills CLI.
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.
在 LaTeX 文档中分析英文散文,评估可读性与结构复杂度。Analyze English prose in LaTeX documents for readability and structural complexity.
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.
为 AI agent 提供持久化、结构化记忆。基于 Go 的本地优先 MCP server:语义召回、去重、provenance、冲突解决。单一静态二进制,零依赖。Persistent, structured memory for AI agents. Local-first MCP server in Go: semantic recall, dedupe, provenance, conflict resolution. One static binary, zero dependencies.
多租户 SaaS 自动化平台,具备事件驱动工作流、AI 驱动的文档处理与实时集成。Multi-tenant SaaS automation platform with event-driven workflows, AI-powered document processing, and real-time integrations.