January 29, 2026
Discover JJYB_AI VideoAutoCut (v2.0), a complete AI‑powered video editing suite that automatically cuts, adds commentary, and applies AI voice‑over using 19 language models, 6 vision models, and 4 TTS engines—all wrapped in a simple Flask web interface. Learn how to install, configure, and deploy this Python‑powered solution on Windows or macOS and start creating professional videos with zero manual editing.
Looking to extend Clawdbot with Feishu (Lark) support? This article walks you through installing the @m1heng-clawd/feishu plugin, configuring the necessary App ID, App Secret, event subscriptions, and permissions on the Feishu Open Platform. It covers both WebSocket and webhook connection modes, DM and group policies, media upload/download, and the optional card‑rendering feature for rich markdown output. A full FAQ section tackles common pitfalls such as message reception failures, 403 errors, and how to start a new conversation with the /new command. Get your bot talking to Feishu users in minutes.
Discover Last30Days, the Claude Code skill that scours Reddit and X for the past 30 days, synthesizes community trends, and generates copy‑paste‑ready prompts. Learn how to install it, use it for prompt research, product discovery, viral trend hunting, and more. Whether you’re a prompt engineer, a marketer, or a curious coder, this article walks you through setup, real‑world examples, and the unique value Last30Days brings to AI workflows.
Deploy the X Article Publisher Skill to eliminate formatting headaches when publishing Markdown to Twitter (X) Articles. This open‑source Python & Claude Code tool converts Markdown to rich‑text, uploads images with precise positioning, and keeps your drafts safe. Learn how to install, configure, and use the skill, and discover why it boosts productivity by 10x for content creators who love markdown.
WebLLM brings full‑featured, high‑performance large language models right inside your browser with zero server cost and powerful WebGPU acceleration. This article walks through installing the npm package, loading popular models like Llama‑3 and Phi‑3, integrating the OpenAI‑compatible API, and extending the engine with workers, service workers, and Chrome extensions. Whether you’re a developer looking to prototype an AI assistant or an enthusiast wanting privacy‑first inference, this step‑by‑step guide shows you how to get up and running in minutes.
MLC LLM is an all‑in‑one, open‑source machine‑learning compiler that lets you run large language models on Linux, Windows, macOS, iOS, Android, and web browsers with native performance. By converting models into highly‑optimised kernels for Vulkan, ROCm, CUDA, Metal, and WebGPU, it eliminates the need for costly cloud hosting. This article walks you through its core architecture, platform coverage, quick installation steps, and real‑world use cases. Whether you’re a researcher or an app‑developer, discover how MLC LLM can speed up your LLM experiments from data center to edge with just a few lines of code.
EXE turns full‑stack web frameworks like SvelteKit, Nuxt, and TanStack into one tiny executable with no runtime dependencies. The tool keeps SSR, API routes, and authentication intact while removing the need for Node or Docker to run your app. Learn how to integrate EXE into your build pipeline with Bun, customize binaries, and even generate Dockerfiles for instant cloud deployment. Ideal for self‑hosted SaaS, privacy‑centric solutions, and demos that let users run a professional web app locally.
Helium Browser is a lightweight, privacy‑focused Chromium fork designed for Linux. Packaged as a self‑contained AppImage, it runs on any modern distro without installation steps. This guide walks you through cloning the public repo, building the binary inside a Docker environment, creating the AppImage, and signing the release with the official Helium key. You’ll also learn how to contribute patches, update the packaging scripts, and use Helium’s unique packaging conventions to keep your builds reproducible and secure. Ready to give Ubuntu, Fedora, or Arch a fresh browsing experience? Get started now!
Discover ArkLights, the open‑source, lightning‑fast companion for Arknights players. Built with Lua and Python, it automates in‑game tasks, tracks skill data, and provides real‑time strategy insights—all in a free, user‑friendly interface. This guide covers setup, key features, scripting, and how to contribute to the project. Whether you’re a casual player looking to streamline your play or a dev eager to extend the tool, ArkLights offers an efficient, community‑driven solution that eliminates repetitive chores and boosts your in‑game efficiency.
Discover Photo2Pixel, a lightweight PyTorch‑based library that transforms your photographs into charming 8‑bit pixel art. With a simple command‑line interface, adjustable kernel size, pixel block, and edge threshold, you can tweak every detail to match your creative vision. The project ships with an online demo (photo2pixel.co) and a Colab notebook for quick experimentation. Whether you’re a game developer, a digital artist, or just curious about pixel art, this guide walks you through installation, usage, customization, and how to contribute to the growing community. Turn your images into retro masterpieces—no deep learning expertise required.
Discover how the K2 Vendor Verifier lets developers and vendors rigorously assess Kimi K2’s tool‑call performance across more than a dozen providers. From precision and schema accuracy to detailed benchmarking tables, the repo’s Python script and sample data give you instant, reproducible results. Learn how to install, run, and extend the tool—plus best‑practice tips for vendors to improve reliability. Whether you’re a researcher, a product team, or a hobbyist, this practical utility streamlines the evaluation workflow and helps maintain consistent Kimi K2 quality.
Discover how to transform the Claude Agent SDK into a real‑time, sandboxed WebSocket server using Bun and E2B. This guide walks you through cloning the repo, setting up your environment, building an E2B sandbox, and connecting with the @dzhng/claude‑agent client library. Learn to customize server behavior, test locally, and deploy scalable AI agents—all while taking advantage of E2B’s isolated sandboxes. Ideal for developers looking to build chatbots, custom assistants, or integrated AI tools with minimal overhead.