Compile PHP to Native BinariesEnglish | 简体中文 TypePHP A native AOT compiler for PHP Compile PHP source code into native machine code ahead of time — producing native executables, PHP extensions, and shared libraries — while keeping the PHP syntax you already know. What is TypePHP? TypePHP is an Ahead-Of-Time (AOT) compiler that translates PHP source code into C++ and then into native machine code. Unlike a bytecode cache or a VM, it does not interpret opcodes at runtime: it generates op…
like netcat, but over Tailscale's data plane, without Tailscale's control plane "Tailscale without Tailscale, by Tailscale" Tailcat Tailcat is a remix of Tailscale open source pieces to act like netcat, but over Tailscale's data plane, without Tailscale's control plane. Tailscale's data plane (magicsock, internally) gives you point-to-point WireGuard®-encrypted tunnels between two machines with DERP as the NAT-hole-punching communication side channel and the ultimate rel…
A spy satellite simulator in your browser, except the data is real. Live open source spatial intelligence on a photorealistic 3D globe. 🌐 God's Eye View A spy-satellite simulator in your browser — then you realize the sources are public and the data is real. Photorealistic 3D globe. Live aircraft, ships, satellites, earthquakes, traffic, and public cameras, with clearly labeled modeled views where a live feed is unavailable. Hands-free voice control powered by a realtime AI agent. No place …
Help AI coding agents write modern Go Modern Go Guidelines This repository contains guidelines for code agents that help them write modern Go code. For example, an agent with these guidelines uses max(a, b) instead of an if-else block, slices.Contains instead of a manual loop, cmp.Or(a, b, c) instead of a chain of nil checks. It also knows about recent additions like new(42) to get a pointer to a value and errors.AsType[T](err) for type-safe error matching—both from Go 1.26. The guidelines cove…
ConardLi's open-source Skills collection, featuring web design, knowledge retrieval, image generation, and more. Garden Skills A curated collection of production-ready Agent Skills for Claude Code, Cursor, Codex, and other AI coding agents. web-video-presentation Web video / presentation web-design-engineer Design / frontend gpt-image-2 Image generation / prompting beautiful-article Any source → beautiful article English · 中文文档 · 日本語 Table of contents Install Use Co…
Agent skill for beautiful, verifiable architecture, workflow, sequence, data-flow, and lifecycle diagrams—self-contained HTML with motion and crisp export. English · 简体中文 Archify Turn a codebase or system description into a polished, interactive system map — directly in chat. Archify is an agent skill for Raven, Cursor, Claude Code, Codex CLI, and OpenCode. Give it a system description or repository; get an interactive, shareable technical map. Open it and present — five diagram types…
Your own search engineHister Your own search engine Hister is a private search engine for the pages you visit and the files you keep. It indexes their full contents so you can find information again from the web interface, terminal, or an AI assistant connected through MCP. Try the demo · Download Hister · Read the quickstart · Documentation Quickstart Download the binary for your platform from the latest release, then rename it to hister (hister.exe on Windows). On Linux or macOS, make it…
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote. Ponytail He says nothing. He writes one line. It works. ~54% less code (up to 94%) · ~20% cheaper · ~27% faster · 100% safe Measured on real Claude Code sessions editing a real open-source repo (FastAPI + React), against the same agent with no skill. ~54% is the mean across 12 feature tasks (Haiku 4.5, n=4); it reaches 94% where an agen…
Open-source framework for the research and development of foundation models. Marin "I am not afraid of storms, for I am learning how to sail my ship." – Louisa May Alcott Marin is a research program, software platform, and community for the research and development of foundation models. Marin's concern is training large language models. This includes data curation, transformation, filtering, tokenization, pretraining, posttraining, and evaluation. Beyond the artifac…