仓库/Skill 库

浏览器本地的 HTTP 请求转换器，支持 cURL、Fetch、Python、Go、Rust 和 Node.js。Browser-local HTTP request converter for cURL, Fetch, Python, Go, Rust, and Node.js.

一个面向 Codex custom subagent 的纪律严明、跨平台的编排系统。A disciplined, cross-platform orchestration system for Codex custom subagents

九路交汇之镇，九位 AI 之神，一个仓库，一个 KPI：1,000 stars。计数器故意有误，第十条路属于你A town where nine roads cross. Nine AI gods, one repository, one KPI: 1,000 stars. The counter is wrong on purpose. The tenth road is yours.

基于 LGPD、CDC 与 CLT 的 RAG：使用标准答案衡量检索效果，对比 BM25、embeddings 与混合方案，并通过一次使最常见 guard-rail 失败的弃答测试RAG sobre LGPD, CDC e CLT — recuperação medida com gabarito, comparação de BM25, embeddings e híbrido, e um teste de abstenção que reprovou o guard-rail mais comum

2026 年由 AI 驱动的 Things 3 CLI 自动化工具——macOS 智能任务管理器AI-Powered Things 3 CLI Automation Tool 2026 – Smart Task Manager for macOS

企业知识智能平台：基于权限感知的搜索、助手与 agent，覆盖公司现有工具栈。Enterprise knowledge intelligence platform. Permission aware search, assistant and agents over the tools a company already runs.

面向 AI 辅助软件工程的循证门控式系统设计，以研究为依据。Research-informed, evidence-gated system design for AI-assisted software engineering.

面向金融分析师的 Agentic Jupyter Notebook。Agentic Jupyter Notebook for financial analysts

与供应商无关的 coding-agent 框架，具备确定性工作流图、持久化证据与 fail-closed 沙箱执行。Provider-neutral coding-agent harness with deterministic workflow graphs, durable evidence, and fail-closed sandboxed execution

通过隔离的 worktree、GitHub PR 交接和清单驱动的审计日志来规划、分发、评审与合并 AI 编码 Agent 的工作。Plan, dispatch, review, and merge AI coding-agent work with isolated worktrees, GitHub PR handoffs, and manifest-backed audit trails.

在小型 LLM 中植入认知美德的激活引导实验——三项发现与一个失败模式数据集（DOI 见 README）Activation-steering experiments on installing epistemic virtues in small LLMs — three findings + a failure-mode dataset (DOIs in README).

CreditFlow AI Agent——小商户贷款预审与自动小额放款 Agent（Google Cloud AI × Solana 实现的下一代 AI Agentic 黑客松项目）CreditFlow AI Agent - 소상공인 대출 사전심사 및 자동 소액대출 집행 에이전트 (Google Cloud AI × Solana로 구현하는 차세대 AI Agentic 해커톤)

一款个人知识引擎，注重综合而非简单转录——每个声明都附带回到原始来源的引用。为 LLM agent 提供写入时综合 + 带引用的检索能力。A personal knowledge engine that synthesizes instead of transcribes — every claim carries a citation back to its source. Write-time synthesis + cited retrieval for LLM agents.

面向开源库的机器可读错误知识库——MCP server、REST API 与静态数据集，将每条错误消息映射到抛出该错误的源代码行。Machine-consumable error knowledge base for open-source libraries — MCP server, REST API, and static dataset mapping every error message to the source line that raised it

面向空间 LLM 与地理空间 AI Agent 的生产工程模式——验证优先架构、地理空间 RAG、prompt-to-spatial-SQL、tool routing 与评估。Production engineering patterns for spatial LLMs and geospatial AI agents — validation-first architecture, geospatial RAG, prompt-to-spatial-SQL, tool routing, and evaluation.

多语言 AI agent 服务 — 基于单一 schema 驱动的 WebSocket 协议，提供知识对话、工具调用、持久检查点、人机协同与多方会话。基于 smooth-operator-core 引擎构建（5 种语言特性一致）。可部署到 Kubernetes、AWS serverless 或本地运行。托管于 lom.smoo.ai。Polyglot AI agent service — knowledge chat, tools, durable checkpoints, human-in-the-loop, and multi-participant conversations over one schema-driven WebSocket protocol. Built on the smooth-operator-core engine (5-language parity). Deploy to Kubernetes, AWS serverless, or run locally. Hosted at lom.smoo.ai.

让编码 Agent 在需要你介入时通知你。Smoke Signal Codex & Claude 插件。Let your coding agent notify you, when you are needed. Smoke Signal Codex & Claude plugin.

macOS 菜单栏应用，监控 Claude Code 配额并自动开关其自主循环。macOS menu-bar app that watches Claude Code's quota and switches its autonomous loop on and off for you

2026 年 21-Agent 病毒式发布流水线——从 AI 研究到多渠道分发。21-Agent Viral Launch Pipeline 2026 – AI Research to Multi-Channel Delivery

無料のローカルAIインストーラ。ダブルクリック一発・初期設定なしで、チャット・RAG（文書質問）・Web検索が使えるWindows向けローカルAI環境（Ollama + Open WebUI + qwen3.5）

macOS 菜单栏 App：统计各 AI Agent 工具的 token 用量与花费，显示订阅额度，并用状态灯实时反映任务运行状态。纯本地只读。

AI-Native 钢琴学习 RAG 助手——在线且免费（GitHub Pages -> Google Cloud Run -> Neon pgvector -> Groq）：具备引用、护栏与内置可观测性（延迟/token/成本）的摄取与查询流水线（rewrite -> 混合检索/RRF -> rerank -> LLM），数据持久化至可检索数据库。Node.js 实现，不依赖付费 API。AI-Native Piano Learning RAG Assistant - live & free (GitHub Pages -> Google Cloud Run -> Neon pgvector -> Groq): ingestion + query pipeline (rewrite -> hybrid search/RRF -> rerank -> LLM) with citations, guardrails, and built-in observability (latency/tokens/cost) persisted to a searchable DB. Node.js, no paid APIs.

这是我的 ERA-V5 作业仓库。This is a repo for my assignment of ERA-V5

生产级 LLM 网关：兼容 OpenAI 的 API，支持语义缓存，可在 Claude/OpenAI/Ollama 之间进行智能路由与成本分析。Production LLM gateway: OpenAI-compatible API, semantic caching, intelligent routing across Claude/OpenAI/Ollama, cost analytics.

使用 TurboQuant 和 MLX 在 Windows 上运行 Qwen3.5 语言模型，实现快速的本地推理。Run the Qwen3.5 language model on Windows using TurboQuant and MLX for fast local performance.

在 DABench 数据分析任务上对 DSPy RLM（Recursive Language Models）进行基准测试，使用自动评分实现基于代码的迭代评估Benchmark DSPy Recursive Language Models on DABench data analysis tasks with automated scoring for iterative code-based evaluation

AI 驱动的 CORBA/IDL 接口自动化 —— 从自然语言规约到实时 ORB 绑定，无需手写 stub；MIT ORB core 基于开放 OMG wire 规范构建。AI-driven CORBA/IDL interface automation — from natural-language spec to a live ORB binding, with no hand-written stubs. MIT ORB core built on the open OMG wire specification.

MeterSphere v2.10 个人开发分支 — 一站式开源持续测试平台。工作流引擎(Flowable 7) · 需求池(从0到1) · 微前端(qiankun→micro-app) · AI知识库 · 测试跟踪，含个人笔记与创意项目。

受治理的、与 provider 无关的运行时，面向证据驱动的自主软件工程、研究和数据分析工作流。Governed, provider-neutral runtime for evidence-driven autonomous software engineering, research, and data-analysis workflows.

将混乱的需求转化为 coding agent 一次就能做对的 prompt。一个适用于 Claude Code、Cursor 以及任何能阅读 markdown 的 agent 的 skill。Turn a messy request into a prompt your coding agent gets right the first time. A skill for Claude Code, Cursor, and any agent that reads markdown.

面向多种 coding agent 的终端。会话跨窗口存活，侧边栏一目了然展示谁在做什么。A terminal for many coding agents. Sessions outlive the window; one sidebar says who is doing what.

通过查询条件超边预测，为 LLM agent 检索工具集合。Retrieve sets of tools for LLM agents using query-conditioned hyperedge prediction.

为每一个 Coding Agent 提供统一的全局开发环境。One global environment for every coding agent.

面向 CBSE、ICSE、AP SSC（1-10 年级）的 AI 备考平台 —— 基于知识点先决关系 DAG 的自适应练习、行为分析、实时竞技房间，以及减少绝大多数 AI 调用的 7 层缓存。AI-powered exam prep for CBSE, ICSE and AP SSC (Grades 1-10) — adaptive practice over a topic-prerequisite DAG, behavioural analysis, live competition rooms, and a 7-layer cache that keeps most AI calls from ever firing.