Today's brief

这是一个开源 skill，通过修改系统提示让 Claude Code / Codex 采用 ADHD-friendly 输出：行动优先、步骤编号、去除寒暄。开发者可一键安装，立刻终结 AI 在答案前堆砌冗长解释的毛病，提升信息获取效率。

腾讯开源的 TeamAI CLI 允许团队通过 Git 仓库集中管理 AI skills、rules、MCP 和知识库，并自动同步到 Claude Code、Cursor 等 Agent。它把团队 AI 配置变成可版本控制的代码，解决了多人协作时规则碎片化、标准不一致的痛点。

obra/superpowers

An agentic skills framework & software development methodology that works. Superpowers Superpowers is a complete software development methodology for your coding agents, built on top of a set of composable skills and some initial instructions that make sure your agent uses them. Quickstart Give your agent Superpowers: Claude Code, Codex CLI, Codex App, Factory Droid, Gemini CLI, OpenCode, Cursor, GitHub Copilot CLI. How it works It starts from the moment you fire up your coding agent. As soon as it sees that you're building something, it doesn't just jump into trying to write code. Instead, it steps back and asks you what you're really trying to do. Once it's teased a spec out of the conversation, it shows it to you in chunks short enough to actually read and digest. After you've signed off on the design, your agent puts together an implementation plan that's clear enough for an enthusiastic junior engineer with poor taste, no judgement, no project context, and an aversion to testing to follow. It emphasizes true red/green TDD, YAGNI (You Aren't Gonna Need It), and DRY. Next up, once you say "go", it launches a subagent-driven-development process, having agents work through each engineering task, inspecting and reviewing their work, and continuing forward. It's not uncommon for Claude to be able to work autonomously for a couple hours at a time without deviating from the plan you put together. There's a bunch more to it, but that's the core of the system. And because the skills trigger automatically, you don't need to do anything special. Your coding agent just has Superpowers. Sponsorship If Superpowers has helped you do stuff that makes money and you are so inclined, I'd greatly appreciate it if you'd consider sponsoring my opensource work. Thanks! Jesse Installation Installation differs by harness. If you use more than one, install Superpowers separately for each one. Claude Code Superpowers is available via the official C…[truncated]

pascalorg/editor

Create and share 3D architectural projects. Pascal Editor A 3D building editor built with React Three Fiber and WebGPU. https://github.com/user-attachments/assets/8b50e7cf-cebe-4579-9cf3-8786b35f7b6b Repository Architecture This is a Turborepo monorepo with three main packages: editor-v2/ ├── apps/ │ └── editor/ # Next.js application ├── packages/ │ ├── core/ # Schema definitions, state management, systems │ └── viewer/ # 3D rendering components Separation of Concerns Package Responsibility @pascal-app/core Node schemas, scene state (Zustand), systems (geometry generation), spatial queries, event bus @pascal-app/viewer 3D rendering via React Three Fiber, default camera/controls, post-processing apps/editor UI components, tools, custom behaviors, editor-specific systems The viewer renders the scene with sensible defaults. The editor extends it with interactive tools, selection management, and editing capabilities. Stores Each package has its own Zustand store for managing state: Store Package Responsibility useScene @pascal-app/core Scene data: nodes, root IDs, dirty nodes, CRUD operations. Persisted to IndexedDB with undo/redo via Zundo. useViewer @pascal-app/viewer Viewer state: current selection (building/level/zone IDs), level display mode (stacked/exploded/solo), camera mode. useEditor apps/editor Editor state: active tool, structure layer visibility, panel states, editor-specific preferences. Access patterns: // Subscribe to state changes (React component) const nodes = useScene((state) => state.nodes) const levelId = useViewer((state) => state.selection.levelId) const activeTool = useEditor((state) => state.tool) // Access state outside React (callbacks, systems) const node = useScene.getState().nodes[id] …[truncated]

这个开源库为 AI Agent 提供了一套完整的 CAD 与硬件设计技能，支持通过自然语言或图片生成/编辑 CAD 模型（输出 STEP、STL 等），本地预览文件，检索标准件，以及生成 URDF/SRDF 机器人描述文件。它把大模型的能力直接嵌入了设计工程师的本地工作流。

开源了一个 Claude Code Skill，内置 29 种编辑级图表模板，输出纯 HTML+SVG。它能自动抓取品牌网站的配色与字体，60 秒内统一图表风格，让 AI 直接画出可用在文章或演示中的高质量架构图与流程图，彻底告别 Mermaid 的粗糙圆角框。

TradingAgents 是一个基于 LLM 多智能体的开源金融交易框架，最新 v0.2.5 版新增了情感分析师、多模型覆盖（GPT-5.5 / Claude 4.6 / Qwen 等）及远程 Ollama 支持。虽然面向量化交易场景，但其角色分层的 Agent 架构与 LangGraph 状态管理实践，对设计复杂 AI 协作工作流有一定参考价值。

该仓库是《System Design Interview》一书的开源读书笔记，梳理了限流器、一致性哈希、消息队列、支付系统等28个后端系统设计主题。虽然登上 GitHub Trending，但内容完全面向软件工程面试，与产品设计师、AI 设计师及设计工程师的日常工具链和交付物几乎无交集。

OpenAI 在 GitHub 上开源了官方 Codex 插件示例仓库，涵盖 Figma、Notion、iOS、Web 及 Expo 等平台的标准化模板。设计工程师可直接复用其 manifest 与技能配置，把 AI 能力无缝嵌入设计系统与全栈开发工作流，省去从零搭建插件架构的成本。

这是一个面向 GPT-Image 2 的 Prompt as Code 开源项目，聚合了 470+ 逆向工程案例与 20+ 工业级模板，配套可视化网站支持直接预览、复制提示词并在线测试。设计师可跳过从零调试，直接复用经商业验证的生成策略，快速落地高完成度的 AI 图像工作流。

GitHub Trending 新晋全开源AI工程课程，共435节课、20个阶段约320小时，覆盖Python/TypeScript/Rust/Julia。课程要求从线性代数和反向传播开始手写代码，逐步构建Tokenizer、Attention机制直至MCP服务器和自主智能体集群，每节课均产出可复用工程产物。

PI-Desktop 是一款开源桌面应用，为 AI 编程代理提供独立工作区。它基于 Electron + Rust 构建，支持接入多厂商模型与可插拔扩展，核心亮点是本地优先、不绑定编辑器、所有敏感操作需经权限层审查。项目目前处于早期预览阶段。

这个开源项目为 Claude Code、Cursor、Codex 等主流 AI 编程工具提供了一套完整的性能优化系统，涵盖 skills、记忆优化、安全扫描和 MCP 配置。作为 Anthropic 黑客松获奖项目，它已在生产环境经过 10 个月验证，刚发布 v2.0.0-rc.1 版本并新增 Hermes 操作员工作流。