Today's brief

tester-army/e2e

Next generation e2e testing framework for web and mobile apps. https://tester.army/e2e e2e e2e is an end-to-end testing framework for web and mobile apps. Describe a goal in natural language and an agent drives the app to reach it. Check the result with locators and assertions in the same test. // tests/checkout.e2e.ts import { test, expect } from 'e2e'; test('a member upgrades to Pro', async ({ app, agent, screen }) => { await app.open('/settings/billing'); await agent.act('upgrade the workspace to the Pro plan'); await agent.assert('the invoice preview shows a prorated amount'); await expect(screen.getByRole('status')).toContainText('Pro'); }); An agent step that a later assertion verifies records its actions, and the next run replays them with no model calls until the app changes. Tests without agent steps need no model. Bring your own subscription, API key, or local model. Quick start npx e2e init init asks for an engine, web or mobile, and a model provider, then writes a config and an example test. The quickstart covers the rest. To see a finished setup in your stack, open examples/: Vite, Next.js, Expo, and SwiftUI, each a standalone project with a passing suite. Packages Package What it does e2e The SDK, runner, and CLI. @e2e-dev/web Browser engine: Chromium, Firefox, and WebKit through Playwright. @e2e-dev/mobile iOS and Android engine: simulators and emulators through agent-device. @e2e-dev/github Reporter that posts results as a pull request comment. @e2e-dev/kernel Kernel hosted browsers for the web engine. @e2e-dev/eas EAS Simulators hosted iOS simulators and Android emulators for the mobile engine. @e2e-dev/decision Decision-model executors for bounded semantic actions and assertions. Documentation e2e.tester.army/docs. The e2e package ships e…[truncated]

TypeScript 教育家 Matt Pocock 开源了他自用的 Claude agent skills 仓库，提供一套小型、可组合、模型无关的工程化技能集合，附带一键安装脚本。不同于完全放任的 vibe coding，这套技能旨在修复 Claude Code 与 Codex 等工具的常见失效模式，让开发者保持对真实工程流程的掌控。

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。

AnyPS5 是一款可将 PS5 可执行文件自动移植到 Linux 与 Windows 的开源工具，通过自定义重链接器与系统库实现原生运行，无需模拟器，目前已验证可运行部分 2D 游戏。但对产品设计师与 AI 设计师而言，这属于底层游戏逆向工程，与日常设计或创意工作流基本无关。

Impeccable 是一套面向 Claude 的开源前端设计技能库，在 Anthropic 官方 frontend-design 基础上扩展了 7 大领域参考、23 条命令与 27 条反模式规则，并配有 CLI 和浏览器扩展。它通过共享设计词汇与自动审计，帮助设计工程师让 AI 输出摆脱千篇一律的 SaaS 模板感。

thedotmack/claude-mem

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More https://claude-mem.ai         🇨🇳 中文 • 🇹🇼 繁體中文 • 🇯🇵 日本語 • 🇵🇹 Português • 🇧🇷 Português • 🇰🇷 한국어 • 🇪🇸 Español • 🇩🇪 Deutsch • 🇫🇷 Français • 🇮🇱 עברית • 🇸🇦 العربية • 🇷🇺 Русский • 🇵🇱 Polski • 🇨🇿 Čeština • 🇳🇱 Nederlands • 🇹🇷 Türkçe • 🇺🇦 Українська • 🇻🇳 Tiếng Việt • 🇵🇭 Tagalog • 🇮🇩 Indonesia • 🇹🇭 ไทย • 🇮🇳 हिन्दी • 🇧🇩 বাংলা • 🇵🇰 اردو • 🇷🇴 Română • 🇸🇪 Svenska • 🇮🇹 Italiano • 🇬🇷 Ελληνικά • 🇭🇺 Magyar • 🇫🇮 Suomi • 🇩🇰 Dansk • 🇳🇴 Norsk Persistent memory compression system built for Claude Code. Quick Start • How It Works • Search Tools • Documentation • Configuration • Troubleshooting • License Claude-Mem seamlessly preserves context across sessions by automatically capturing tool usage observations, generating semantic summaries, and making them available to future sessions. This enables Claude to maintain continuity of knowledge about projects even after sessions end or reconnect. Quick Start Install claude-mem for Grok Bot: npx claude-mem install --ide grok-bot Grok Bot has no host hooks, so we watch the chat log files. Default is CMEM Pro, the hosted memory. Local observer is opt-in: --provider host. Installing this plugin does not install Cursor. Awareness push pilot (LFG + Orifice): needle observations (decision, bugfix, security_alert, sensitive) are appended as dated - YYYY-MM-DD [awareness] … lines into that bot's memory/log/YYYY-MM.md. Grok Bot already re-reads the log from disk. This does not write profile.md, user-memory, or project memory. Disable with CLAUDE_MEM_GROK_BOT_AWARENESS_ENABLED=false. …[truncated]

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。

morluto/rea

Reverse engineer anything with agents, from app behavior down to native binaries. English · 简体中文 · 日本語 · 한국어 · العربية REA: Reverse Engineer Anything One MCP for reverse engineering across binaries, applications, and runtime behavior. See a feature you like. Understand how it works, down to the binary level. Quick start · Current status · Investigation model · Tool catalog · Roadmap · How it works npx rea-agents setup Join the Reverse Engineering Community Discord · Q&A · Show and Tell See a feature in an app that you want in your own product? Ask your agent to investigate it with REA. It can inspect the app without its source code, explain how the feature works, show the evidence, and build a version for your project. REA connects your agent to tools for inspecting native binaries, JavaScript and Electron apps, .NET assemblies, and websites. You can also use the same tools from your terminal. Analysis runs locally, and results include the evidence and limitations behind each conclusion. Setup registers REA with your agent and installs matching workflow instructions. Native analysis can use an existing Hopper or Ghidra installation; setup can optionally install Hopper with approval. Static JavaScript analysis needs neither engine. Quick start Run setup (recommended) Set up REA with your agent: npx rea-agents setup Choose which supported agents should use REA, then review the exact paths and changes before approving. Existing REA registrations are selected by default; newly detected agents are available to select, but detection alone does not select them. Setup adds MCP access and REA's guided workflow for selected agents. Hopper is a separate optional choice with its own consent. Setup can also record an existing Ghidra installation. Setup shows its changes before applying them and backs up existing configuration. See Installation and setup for require…[truncated]

deepseek-ai/DeepGEMM

DeepGEMM: clean and efficient BLAS kernel library on GPU DeepGEMM DeepGEMM is a unified, high-performance tensor core kernel library that brings together the key computation primitives of modern large language models — GEMMs (FP8, FP4, BF16), fused MoE with overlapped communication (Mega MoE), MQA scoring for the lightning indexer, HyperConnection (HC), and more — into a single, cohesive CUDA codebase. All kernels are compiled at runtime through DeepJIT, requiring no CUDA compilation during installation. DeepGEMM leverages some concepts from CUTLASS and CuTe, but avoids heavy reliance on their templates or algebras. The library is designed for simplicity, with only a limited number of core kernel functions, making it a clean and accessible resource for learning NVIDIA GPU kernel optimization techniques. Despite its lightweight design, DeepGEMM's performance matches or exceeds expert-tuned libraries across various matrix shapes. News 2026.09.30 DeepGEMM Ascend is available! Check DeepGEMM-Ascend for more details Add more optimizations, including locality domain features, check #462 for more details 2026.09.10: Sparse Indexer, Mega Gate, Mega mHC, DeepJIT, MoE and Indexer optimizations and more. Please see #432 for more details. 2026.04.16: Mega MoE, FP8xFP4 GEMM, FP4 Indexer, PDL, faster JIT compilation and more. Please see #304 for more details. For Mega MoE benchmarks, refer to #316. 2025.09.28: DeepGEMM now supports scoring kernels (weighted ReLU MQA logits) for the lightning indexer for DeepSeek v3.2. Please see #200 for more details. 2025.07.20: DeepGEMM now supports both SM90/SM100, and has a full refactor with a low-CPU-overhead JIT CPP module. As NVCC 12.9 will automatically do the FFMA interleaving, all post optimizations will be no longer supported. Please see #112 for more details. 2025.05.14: DeepGEMM now offers weight gradi…[truncated]

msitarzewski/agency-agents

A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables. 🎭 The Agency: AI Specialists Ready to Transform Your Workflow A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables. 🚀 What Is This? Born from a Reddit thread and months of iteration, The Agency is a growing collection of meticulously crafted AI agent personalities. Each agent is: 🎯 Specialized: Deep expertise in their domain (not generic prompt templates) 🧠 Personality-Driven: Unique voice, communication style, and approach 📋 Deliverable-Focused: Real code, processes, and measurable outcomes ✅ Production-Ready: Battle-tested workflows and success metrics Think of it as: Assembling your dream team, except they're AI specialists who never sleep, never complain, and always deliver. ⚡ Quick Start Option 1: Use with Claude Code (Recommended) # Install all agents to your Claude Code directory ./scripts/install.sh --tool claude-code # Or manually copy a category if you only want one division cp engineering/*.md ~/.claude/agents/ # Then activate any agent in your Claude Code sessions: # "Hey Claude, activate Frontend Developer mode and help me build a React component" Option 2: Use as Reference Each agent file contains: Identity & personality traits Core mission & workflows Technical deliverables with code examples Success metrics & communication style Browse the agents below and copy/adapt the ones you need! Option 3: Use with Other Tools (GitHub Copilot, Antigravity, Gemini CLI, OpenCode, OpenClaw, Cursor, Aider, Windsurf, Kimi Code) # Step 1 -- generate integration files for all supported tools ./scrip…[truncated]

一个可自托管的健身房与体重记录应用，支持制定训练计划、记录超级组与有氧、通过身体地图查看肌肉疲劳度，并能从主流健身 App 导入历史数据。项目强调数据主权，提供 Docker 一键部署、Passkey 登录与 PWA 离线体验，但目前仅面向健身爱好者，对设计工作流无直接助益。

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。