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。

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。

OpenAI 官方 skills 仓库已被标记为废弃，现有 Codex skill 与插件示例被迁移至 OpenAI Plugins 仓库。用户需通过新指南创建 skill-only 插件，并使用 $skill-installer 命令安装 curated 或 experimental 技能。这代表 OpenAI 正将 Codex 的能力封装从独立 skills 转向插件化架构。

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。

HeyGen 开源 HyperFrames，可将 HTML、CSS 与可寻址动画渲染为确定性 MP4。它提供本地 CLI，更核心的是为 Claude Code、Cursor 等 AI Agent 配备了 Skills，使代理能独立完成视频规划、HTML 编写、动画调试与渲染，将前端能力直接转化为视频生产工作流。

这是一个为 Claude Code、Cursor 等 AI 助手打造的营销技能库，涵盖 CRO、文案、SEO 和增长工程。它通过 markdown 格式的 Skills 让 AI 自动识别营销任务并调用最佳实践。对设计工程师和产品设计师而言，其技能编排方式值得借鉴，可直接复用到设计系统或用户研究的工作流中。

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]

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]

Microsoft 官方开源的 markitdown 是一个轻量级 Python 工具，可将 PDF、Word、PPT、Excel、图片、音频等数十种格式转换为 Markdown。它不是给人类阅读的高保真转换器，而是专门为 LLM 和文本分析管道设计，保留文档结构（标题、列表、表格、链接），让非文本文件能直接喂给 AI。

开源浏览器 Camofox 在 C++ 层修改 Firefox 内核伪造硬件指纹，可绕过 Cloudflare 等反爬机制，并包装成 REST API 供 AI Agent 调用。其 accessibility snapshot 比原始 HTML 轻量 90%，可直接替代 Puppeteer/Playwright，为需要网页交互的 AI 产品原型提供稳定底层能力。

这是一个基于 Next.js 14 与 Tailwind CSS 的跨平台影视播放器，支持多源搜索与 PWA，但部署后为空壳且无内置片源。对设计师及设计工程师而言，它既无设计系统可借鉴，也不存在可复用的工程价值。

Browser Use 登上 GitHub 日榜，这个开源项目让 AI Agent 像人类一样操作浏览器，能自动点击、填表、抓取数据。它直接支持 Claude Code、Cursor 等工具接入，设计团队可立即用它自动化竞品监控、表单填写、UI 测试等重复网页任务，把脏活累活丢给 AI。

Context Mode 是一款 MCP 服务器，通过沙盒隔离工具输出（减少 98% 上下文占用），并用 SQLite + BM25 实现会话事件的持久化与检索。当对话压缩时，它能确保 AI Agent 不丢失文件编辑、任务进度等关键状态，同时支持 17 个平台的路由。

AutoHedge 是一个基于多代理架构的自治对冲基金框架，支持 Solana 链上全自主交易。它通过 Director、Quant、风控与执行等专门 Agent 完成策略生成、市场分析与订单执行，主打机构级风控与最小人工干预。

Escrcpy 为 scrcpy 提供了桌面端图形界面，支持多设备同屏嵌入镜像、键盘映射、无线 ADB 和可视化自动化脚本，并内建基于 MCP 协议的 AI 助手。对需要在 PC 上调试真机的设计师和开发者是即开即用的方案，但核心能力偏向设备管理而非设计生产。

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。