决策驱动的 数据可视化革命

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。

Anthropic 在 GitHub 上线了 Claude 插件社区市场，提供经安全审核的第三方插件。Claude Code 与 Claude Cowork 用户可直接安装社区插件扩展功能，相当于为 AI 编码和设计助手增加了应用商店。对依赖 Claude 工作流的设计工程师而言，这意味着工具链可定制性将大幅提升。

一个基于 Claude Code 的开源求职工作流，可自动评估职位匹配度、生成定制化简历与求职信，并内置审稿代理优化输出。当前职位爬取主要针对丹麦市场，但核心架构支持替换为本地招聘网站。

Apache 孵化器新项目 Maka 发布早期版本。这是一个本地优先的 AI Agent 工作空间，默认把会话与运行记录留在本地，支持桌面端、TUI 和 CLI。它将模型消息、工具调用记录为追加日志，提出「日志即运行时」的架构理念。对关注隐私与可复现 AI 工作流的设计工程师，这是值得跟踪的实验性工具。

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。

这是一个将 Claude Code 与 Obsidian 结合的开源知识管理系统，基于 Karpathy 的 LLM Wiki 模式，能把任意来源的素材自动整理成带引用、互相关联的 Markdown 笔记。对设计师而言，它意味着竞品调研、设计参考可以被 AI 主动链接与溯源检索，且数据完全本地留存。

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。

OpenHuman 是一款登上 GitHub Trending 的开源桌面 AI 助手，主打隐私保护和开箱即用。它支持 118+ 第三方服务集成，能作为真实成员加入 Google Meet，并带有会互动、有记忆的桌面吉祥物，试图把 agent 从命令行拉回图形界面。

Basecamp 创始人 DHH 发布名为 Omarchy 的 Linux 发行版，主打美观桌面体验、统一主题与热键体系，并内置 Neovim、AI 开发工具链等组件，试图为厌倦 macOS 的开发者提供一套高度定制化且审美偏执的操作系统方案。目前已登上 GitHub Trending。

GitHub Trending 上的 Awesome LLM Apps 收录了 100 多个可直接运行的 AI Agent 与 RAG 应用模板，涵盖 MCP、多智能体、语音代理等现代 AI 栈，支持 Claude、GPT 等主流模型一键切换。对设计工程师而言，这意味着无需从零搭建脚手架，克隆代码即可快速验证 AI 原型并落地生产。

multica-ai/andrej-karpathy-skills

A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls. Karpathy-Inspired Claude Code Guidelines Check out my new project Multica — an open-source platform for running and managing coding agents with reusable skills. Follow me on X: https://x.com/jiayuan_jy A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls. English | 简体中文 The Problems From Andrej's post: "The models make wrong assumptions on your behalf and just run along with them without checking. They don't manage their confusion, don't seek clarifications, don't surface inconsistencies, don't present tradeoffs, don't push back when they should." "They really like to overcomplicate code and APIs, bloat abstractions, don't clean up dead code... implement a bloated construction over 1000 lines when 100 would do." "They still sometimes change/remove comments and code they don't sufficiently understand as side effects, even if orthogonal to the task." The Solution Four principles in one file that directly address these issues: Principle Addresses Think Before Coding Wrong assumptions, hidden confusion, missing tradeoffs Simplicity First Overcomplication, bloated abstractions Surgical Changes Orthogonal edits, touching code you shouldn't Goal-Driven Execution Leverage through tests-first, verifiable success criteria The Four Principles in Detail 1. Think Before Coding Don't assume. Don't hide confusion. Surface tradeoffs. LLMs often pick an interpretation silently and run with it. This principle forces explicit reasoning: State assumptions explicitly — If uncertain, ask rather than guess Present multiple interpretations — Don't pick silently when ambiguity exists Push back when warranted — If a simpler a…[truncated]

OpenAI 正式发布 Codex CLI，一款可在终端本地运行的轻量级编码代理。用户通过自然语言即可执行代码生成、文件操作等任务，同时支持接入 VS Code、Cursor 等主流 IDE，对设计工程师而言，这意味着原型到代码的闭环可以进一步在命令行中完成。

Marin 是一个聚焦大语言模型训练全流程的开源框架，涵盖数据筛选、预训练、后训练及评估，并强调实验过程的完全公开。虽然登上 GitHub 热榜，但它属于底层科研基础设施，对设计师日常工作流几乎没有可直接落地的价值。

Ponytail 是一套可复用的 AI Agent 提示框架，通过注入“极简主义资深开发者”人格，迫使 Claude Code 等工具用最少代码解决问题。作者在真实 FastAPI + React 仓库上实测，平均减少 54% 代码量、20% 成本并提升 27% 速度，同时保留了完整的安全护栏。

anthropics/claude-plugins-official

Official, Anthropic-managed directory of high quality Claude Code Plugins. Claude Code Plugins Directory A curated directory of high-quality plugins for Claude Code. ⚠️ Important: Make sure you trust a plugin before installing, updating, or using it. Anthropic does not control what MCP servers, files, or other software are included in plugins and cannot verify that they will work as intended or that they won't change. See each plugin's homepage for more information. Structure /plugins - Internal plugins developed and maintained by Anthropic /external_plugins - Third-party plugins from partners and the community Installation Plugins can be installed directly from this marketplace via Claude Code's plugin system. To install, run /plugin install {plugin-name}@claude-plugins-official or browse for the plugin in /plugin > Discover Contributing Internal Plugins Internal plugins are developed by Anthropic team members. See /plugins/example-plugin for a reference implementation. External Plugins Third-party partners can submit plugins for inclusion in the marketplace. External plugins must meet quality and security standards for approval. To submit a new plugin, use the plugin directory submission form. Plugin Structure Each plugin follows a standard structure: plugin-name/ ├── .claude-plugin/ │ └── plugin.json # Plugin metadata (required) ├── .mcp.json # MCP server configuration (optional) ├── commands/ # Slash commands (optional) ├── agents/ # Agent definitions (optional) ├── skills/ # Skill definitions (optional) └── README.md # Documentation License Please see each linked plugin for the relevant LICENSE file. Documentation For more information on developing Claude Code plugins, see the official documentation.

Hister 是一款开源的私有搜索引擎，能在本地全文索引网页和文件，并通过 MCP 协议与 AI 助手联动。对于需要管理大量设计参考、文档和本地素材的创作者，它提供了可立即部署的隐私优先方案，无需依赖云端服务即可实现语义检索和 AI 问答。