仓库/Skill 库

全栈博客平台 · Go 后端 + React 前端，内置 MCP server 供 AI agent 读写文章

面向 AI coding agents 的 local-first 分层记忆中枢——自动采集、LLM 整合、hybrid retrieval、实时 Neural Universe 监控、日常自审计。兼容 Claude Code / Codex / 任何 MCP 客户端。Local-first hierarchical memory brain for AI coding agents — auto-capture, LLM consolidation, hybrid retrieval, live Neural Universe monitor, daily self-audit. Claude Code / Codex / any MCP client.

欧洲血统系统性红斑狼疮 GWAS Meta 分析研究代码，集成功能基因组学数据 (GEx/DICE)Research code for Meta-Analysis of SLE GWAS in Euroean Ancestry with functional genomics integration (GEx/DICE).

Base MCP Server：AI Agent 加密货币空投 2026 🚀 | 免费 & 安全Base MCP Server: AI Agent Crypto Airdrops 2026 🚀 | Free & Secure

将 Justin Sun 的营销逻辑提炼为心智模型、决策启发式与文案模板，用于注意力驱动的增长。Distill Justin Sun's marketing logic into mental models, decision heuristics, and copywriting templates for attention-based growth.

最新营销趋势：数据驱动、自动校验的文献综述Latest marketing trends: data-driven, auto-validated literature review (AI & generative marketing, digital/performance, social & creator, privacy-first data, analytics/MMM, B2B/ABM, CX & retail)

跨所有编码 CLI 的统一 agent 配置——导入、渲染、切换工具集，诊断偏移，安全恢复。本地优先，厂商中立，Rust 实现。One agent setup across every coding CLI — import, render, switch toolsets, diagnose drift, and restore safely. Local-first, vendor-neutral, Rust.

ResearchTrack 是面向大学实验室、导师与学生研究者的学术研究实验室与文献管理平台，集中管理文献综述、独立学生论文综合以及多范围论文分配（个人、实验室级、子组级）ResearchTrack is an academic research laboratory and literature management platform designed for university labs, faculty advisors, and student researchers. It centralizes literature reviews, isolated student paper syntheses, multi-scope paper assignments (individual, lab-wide, and sub-group-wise)

空间智能工作站——53 路实时 OSINT 数据源，基于 PostgreSQL+pgvector 的 FollowTheMoney 实体图谱，9 阶段多 Agent 编排器（4 层防幻觉防护）、贝叶斯信源裁定、W3C PROV 证据 DAG、GNN 流水线（GAT+T-GCN+FedAvg+DP-SGD），3 节点 Ed25519 认证网格，通过 NVIDIA NIM Cascade 实现 24 小时自动简报Spatial intelligence workstation — 53 live OSINT feeds, FollowTheMoney entity graph on PostgreSQL+pgvector, 9‑phase multi‑agent orchestrator with 4‑layer anti‑hallucination guards, Bayesian source adjudication, W3C PROV evidence DAG, GNN pipeline (GAT+T‑GCN+FedAvg+DP‑SGD), 3‑node mesh with Ed25519 auth, automated 24h briefing via NVIDIA NIM Cascade

面向 Claude Code 的 IMRAD 学术写作全生命周期插件。持久化的 .writing/ 状态、主张优先验证、Zotero 双源真相、由子 Agent 驱动的撰稿流程。IMRAD academic-writing lifecycle plugin for Claude Code. Persistent .writing/ state, claim-first verification, Zotero dual-source-of-truth, subagent-driven drafting.

Run the native 284B-A13B DeepSeek-V4-Flash-0731 LLM locally on a single laptop CPU: pure C, 8 GB RAM minimum, no GPU, best TPOT 0.892 s/token. ｜ 在笔记本单颗 CPU 上本地运行原生 284B-A13B DeepSeek-V4-Flash-0731 大模型：纯 C，最低 8 GB 内存，无需 GPU，最优 TPOT 0.892 秒/token。

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

Ultimate AI Spellbook Workflows 2026 – 构建多平台 Skill 与自动化Ultimate AI Spellbook Workflows 2026 – Build Multi-Platform Skills & Automation

面向会议的对话智能：将转录文本转化为摘要、决策、行动项、风险与机会，支持多租户自托管。FIAP NEXT Challenge 2026。Conversation intelligence for meetings: turns transcripts into summaries, decisions, action items, risks and opportunities. Multi-tenant, self-hosted. FIAP NEXT Challenge 2026.

基于 Python（Anthropic SDK）的多 Agent 系统，为私人教练生成个性化训练与饮食计划——内置免费规则引擎 + 可选 LLM 层、显式状态编排器、Streamlit 仪表盘与确定性安全校验器。A multi-agent system in Python (Anthropic SDK) that generates personalized workout routines and meal plans for a personal trainer — free rule engine + optional LLM layer, explicit-state orchestrator, Streamlit dashboard, and deterministic safety validator.

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.

面向银行内部产品审计的深度研究 LLM Agent + RAG 平台，提供带引用报告、PDF 导出与 pgvector 支持。Deep-research LLM agent + RAG platform for internal bank-product audit — cited reports, PDF export, pgvector

FastMCP 3.2 语音 gateway：FunASR 本地 STT、Gemini Live/TTS、Hume、ElevenLabs 声音克隆、唤醒词、RAG。MCP server + React webapp。FastMCP 3.2 speech gateway: FunASR local STT, Gemini Live/TTS, Hume, ElevenLabs cloning, wake word, RAG. MCP server + React webapp.

硕士论文（UiB，计算语言学，2023）及扩展工作。针对系统综述筛选的文本分类。原始 11 工作流分析结合 NEO ontology 集成，以及 Cohen 等人（2006）药物类别基准的扩展，比较 BoW 与 BiomedBERT。Master's thesis (UiB, Computational Linguistics, 2023) and extension work. Text classification for systematic review screening. Original 11-workflow analysis with NEO ontology integration plus Cohen et al. (2006) drug-class benchmark extension comparing BoW and BiomedBERT.

🐙 AI Agent Pipeline 基于意图将查询路由至文档、天气或聊天模块，结合 LangGraph、ChromaDB 与 LangSmith，实现跨 CLI 与 UI 的模块化、可观测工作流🐙 AI Agent Pipeline routes queries by intent to docs, weather, or chat, with LangGraph, ChromaDB, and LangSmith for modular, observable workflows across CLI and UI.

学习时记录的笔记素材。Materi yang dicatatkan saat belajar

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

BMAD 的精简版本，对较小 AI 计划额度更友好。A slimmed-down version of BMAD made to be friendlier to smaller AI plan limits

面向论文、学位论文、文献综述与稿件的开放学术写作短语库、修辞策略与循证安全的研究写作技能。Open academic and scientific writing phrasebank, rhetorical moves, and evidence-safe research writing skills for papers, theses, literature reviews, and manuscripts.

使用 ConsensusMind 这一自主 AI Agent 对区块链共识机制进行全面深入的研究，涵盖文献综述、模拟与学术写作。🤖 Conduct thorough research on blockchain consensus mechanisms with ConsensusMind, an autonomous AI agent for literature review, simulations, and academic writing.

面向 Node 与浏览器的 AI 数据库对话：用自然语言提问、审视查询、获取答案。支持 Postgres、MySQL、SQLite、DuckDB、Oracle、MongoDB。具备只读 AST 守卫、React UI、MCP server、VS Code 与 JetBrains 集成。AI database chat for Node and the browser: ask in plain language, review the query, get answers. Postgres, MySQL, SQLite, DuckDB, Oracle, MongoDB. Read-only AST guard, React UI, MCP server, VS Code & JetBrains.

一个用于开展系统/范围文献综述的桌面应用，由 AI 担任第二审稿人A desktop app for running systematic / scoping literature reviews with an AI as a second reviewer.

🤖 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

用知识图谱刻画 AI/ML 模型从创建到部署的完整生命周期。Knowledge Graph to capture AI/ML model lifecycle from creation through deployments.

[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

Bruno 的 MCP server：AI agent 可编写、读取并运行 .bru 与 .yml API 集合。无需 bru CLI，与 Bruno 字节级一致。兼容 Claude、Cursor、Codex。MCP server for Bruno: an AI agent authors, reads and runs .bru and .yml API collections. No bru CLI, byte-parity with Bruno. Claude, Cursor, Codex.

AI Agent 集群的开源任务控制中心 —— 对话即可配置，Agent 负责执行，人类负责审批。Open-source mission control for AI agent fleets — chat to provision, agents to operate, humans to approve.