仓库/Skill 库

教学用 LLM 应用teaching LLM applications

面向 agent 间通信的私有点对点身份、信任与验证基础设施——agent 注册中心、已验证身份、防篡改消息历史。Private peer-to-peer identity, trust, and verification infrastructure for agent-to-agent communication — agent registry, verified identity, and tamper-proof message history

AI agent memory 与基础设施全景——912 个系统 × 68 列的对比目录，覆盖记忆层、agent 框架、运行时、vector store、知识图谱、MCP server、benchmark。支持按类型化边、谱系、引用进行检索。AI agent memory & infrastructure landscape — comparative catalog of 912 systems × 68 columns covering memory layers, agent frameworks, runtimes, vector stores, knowledge graphs, MCP servers, benchmarks. Searchable with typed edges, lineages, citations.

韩国加密货币 × AI 垂直媒体与社区——alpha.moss.land：频道立场、AI 简报、RAG、8 个带业绩记录的 AI persona、12 工具 MCP server。Korean crypto × AI vertical media + community — alpha.moss.land. Channel stance, AI briefs, RAG, 8 AI personas with track records, 12-tool MCP server.

面向人类与 AI Agent 的开放、无需登录的 KiCad 器件注册中心——提供经验证的 footprint、symbol 与 3D 模型（STEP/GLB），附带 datasheet 来源溯源、静态 JSON API 与 MCP server。Open, no-login KiCad parts registry for humans & AI agents — verified footprints, symbols & 3D models (STEP/GLB) with datasheet provenance + static JSON API + MCP server

用于实时技术分析与市场执行的自主 agentic 框架。Autonomous agentic framework for real-time technical analysis and market execution.

面向 Zed 的智能代码库搜索与索引。异步 MCP server，支持 LanceDB/BM25 混合搜索、多桶 RAG 以及自主 self-healing workflow。高性能、内存安全，可直接用于生产代码。Intelligent codebase search & indexing for Zed. Async MCP server featuring LanceDB/BM25 hybrid search, multi-bucket RAG, and autonomous self-healing workflows. High-performance, memory-safe, and ready for your production code.

语音 AI API 的开放价格数据库 —— STT、LLM、TTS、S2S、VAD。Open price database for voice AI APIs - STT, LLM, TTS, S2S, VAD

一个多 Agent 命令行工具，面向科研人员从 arXiv 和 Semantic Scholar 发现、总结并可视化最新量子科学论文。Multi-agent CLI tool that discovers, summarizes, and visualizes the latest quantum science papers from arXiv and Semantic Scholar for researchers.

首个内置 MCP（server + client）的语言；Semantic Pipeline Runtime 提供 198 个内建函数、AI pipeline、沙箱化 Agent，单一二进制约 7 MB，零依赖。The first language with built-in MCP (server + client). Semantic Pipeline Runtime: 198 builtins, AI pipelines, sandboxed agents, single ~7 MB binary, zero dependencies.

中国地质大学（武汉）报告与答辩模板合集

Spec Seatbelt 让 AI 编程 Agent 保持诚实：先写计划、逐步证明、以全新视角验证；一次加载一个阶段（token 用量减少约 70%）；持久化的 .specs/ 记忆、循环计划波次与任务图，支持安全的并行工作。支持 Cursor 与 ClaudeSpec Seatbelt keeps AI coding agents honest: write the plan first, prove each step, verify with fresh eyes. Load one phase at a time (~70% fewer tokens). Persistent .specs/ memory, loop-plan waves, and task graphs for safe parallel work. Cursor & Claude.

实验性 Python 库：基于 dataframe 导航至研究问题，并内置统计与因果安全闸门Experimental Python library for dataframe-to-research-question navigation with statistical and causal safety gates.

可复用的 AI Agent Skill，支持多 IDE 同步、导出与发布工作流Reusable AI agent skills with multi-IDE sync, export, and publishing workflow

Tox21 多终点毒性预测：可复现的研究与推理制品（冻结模型、FastAPI 服务、已审计的安全机制）Tox21 multi-endpoint toxicity prediction: a reproducible research and inference artifact (frozen model, FastAPI service, audited security)

AI4Scholar for DeepSeek Harness (dsh)：38 个原生学术工具——Semantic Scholar、PubMed、Google Scholar、arXiv、bioRxiv/medRxiv、DOI、全文、自动引用、图表、统一搜索。由 ai4scholar.net 提供支持AI4Scholar for DeepSeek Harness (dsh): 38 native academic tools — Semantic Scholar, PubMed, Google Scholar, arXiv, bioRxiv/medRxiv, DOI, full text, auto-cite, figures, unified search. Powered by ai4scholar.net

⭐AI-driven public opinion & trend monitor with multi-platform aggregation, RSS, and smart alerts.🎯 告别信息过载，你的 AI 舆情监控助手与热点筛选工具！聚合多平台热点 + RSS 订阅，支持关键词精准筛选。AI 智能筛选新闻 + AI 翻译 + AI 分析简报直推手机，也支持接入 MCP 架构，赋能 AI 自然语言对话分析、情感洞察与趋势预测等。支持 Docker ，数据本地/云端自持。集成微信/飞书/钉钉/Telegram/邮件/ntfy/bark/slack 等渠道智能推送。

1,716 道 AI/ML 面试题（含答题框架）、69 张架构图、按角色的学习路径，以及语音驱动的模拟面试工具。覆盖 LLM、RAG、agent、MCP/A2A、系统设计、MLOps、安全与云部署。1,716 AI/ML interview questions with answer frameworks, 69 architecture diagrams, role-based study paths, and a voice-enabled mock interview simulator. Covers LLMs, RAG, agents, MCP/A2A, system design, MLOps, safety and cloud deployment.

面向开发者的极简书籍写作与发布模板，基于 Markdown、Pandoc、LaTeX、GNU Make、Docker 等开源工具。终端优先版本，无编辑器集成，兼容任意文本编辑器。A minimalist, developer-grade template for writing and publishing books using open tools like Markdown, Pandoc, LaTeX, GNU Make, and Docker. This is the terminal-first edition with no editor integrations — works with any text editor

使 AI agent 能够在任何市场上自主创建、评估与进化 Skill，无需用户干预Enable AI agents to autonomously create, evaluate, and evolve skills across any marketplace without user intervention.

面向可复现研究代码、分析工作流、文档以及可发布实验室软件项目的模板仓库Template repository for reproducible research code, analysis workflows, documentation, and release-ready lab software projects.

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

Solana 上面向 AI Agent 的非托管 RWA + 收益服务。提供 10 个 MCP 工具——对比收益、报价/买卖代币化美股（Backed xStocks）以及 Ondo USDY 国债。签名由用户钱包自行完成。Non-custodial RWA + yield service for AI agents on Solana. 10 MCP tools — compare yields, quote/buy/sell tokenized US stocks (Backed xStocks) and Ondo USDY treasuries. User signs in their own wallet.

本地优先的 AI 论文阅读助手 —— Agentic RAG、引文追溯、Electron 桌面应用，完全离线。Local-first AI reading assistant for academic papers — Agentic RAG, citation tracing, Electron desktop app, fully offline

将任意视频链接转化为博士级研究报告。自动化学术流水线：一键完成下载、转写、检索同行评审文献、核查论据并生成带引用的报告。免费且开源。Turn any video url into a PhD-grade research report. Automated academic pipeline: download, transcribe, search peer-reviewed literature, verify claims, generate cited reports — all with one command. Free & open source.

🖥️ 通过终端中键盘优先的 Kanban board 简化工作流，实现快速、专注的任务管理。🖥️ Streamline your workflow with a keyboard-first Kanban board in your terminal for fast, focused task management.

Hyper Terminal 2026：下一代 Web 技术 CLI ⚡ | 免费开源Hyper Terminal 2026: Next-Gen Web Tech CLI ⚡ | Free & Open Source

使用 SQLite 和 FAISS 存储、整合与召回 coding agent 记忆，附带 provenance 追踪，实现快速、结构化的知识访问Store, consolidate, and recall coding agent memories with provenance tracking using SQLite and FAISS for fast, structured knowledge access.

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

可复用的 Codex skill，用于生成紧凑、可直接投稿的科研配图，含匿名模板与统一的 V7 样式。Reusable Codex skill for compact, journal-ready scientific figures with anonymous templates and consistent V7 styling.

THIS PAPER IS FOR ENTERTAINMENT PURPOSES ONLY.この小説はフィクションであり、実在する団体または個人とは関係ありません。

Agents as Infrastructure。自托管多 Agent MCP server——具备 workspace、持久记忆与层级结构的长期运行 Agent。配备真实管理 UI、OAuth 2.1、静态加密 secrets。Agents as Infrastructure. Self-hosted multi-agent MCP server — long-lived agents with workspaces, persistent memory, and hierarchy. Real admin UI, OAuth 2.1, encrypted secrets at rest.

🏋️♂️ 轻松将 TrainingPeaks 接入 AI 助手。无需 API 审批即可查询训练、分析数据并追踪健身趋势🏋️♂️ Connect TrainingPeaks to AI assistants with ease. Query workouts, analyze data, and track fitness trends without API approval hassles.

🌟 利用 GPU 加速 Apple Silicon 上的 SQLite 数据库操作，提升分析速度与数据管理效率🌟 Accelerate SQLite database operations on Apple Silicon with GPU power for faster analytics and efficient data management.

AI 工程路线图 2026 🚀 | 从零构建并部署 AI 应用。AI Engineering Roadmap 2026 🚀 | Build & Deploy AI Apps from Scratch

面向 Claude 等 LLM agent 的 MCP server，对 CSV、Parquet、Excel、JSON 等表格数据进行 profiling。MCP server that profiles tabular data files (CSV, Parquet, Excel, JSON) for LLM agents like Claude.