⚡️A native, local-first alternative to Logitech Options+, written in Rust 🦀 — remap buttons, DPI, and SmartShift over HID++. No account, no telemetry.
利用 AI 大模型和自动化工作流,根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
A compact Codex skill for highly simplified, rounded, subtly neo-skeuomorphic IP mascot logos.
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
将 SRT 字幕做成暖米黄纸张底的流式笔迹白板手绘动画 skill:mask 分区遮罩编排 + stream 连续笔迹(ink→color)。
local multi-agent harness
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
Skills for Real Engineers. Straight from my .agents directory.
Harness engineering beginner tutorial, from 0 to 1
An advanced guide which might benefit you a lot 🎉 . 人生进阶指南 离谱的人生 离谱的英语学习指南/英语学习教程/英语学习/学英语
The open-source agent harness - the runtime layer that turns an LLM into a working agent.
Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors
Persistent SSH sessions and exact local safety controls for Claude Code, Codex, and shells on Linux and macOS
J-Space Cognition Suite V3.5Turbo - AI cognitive-enhancement Skills based on Anthropic's J-space global workspace research.
基于官方 DeepSeek Harness 打造的 Electron 桌面端,支持 macOS 和 Windows,免配置、下载即用。
LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar
27 editorial diagram types for Claude Code. Self-contained HTML + SVG. No shadows, no Mermaid-slop.
A 3D fruit fly living on your macOS desktop, driven by a live spiking simulation of the real FlyWire connectome
Generate production-quality SVG+PNG technical diagrams from natural language. 7 styles, UML support, and AI/Agent workflow patterns.
A trilingual (繁中 / English / 简中) learning roadmap for agentic AI: from LLM basics to multi-agent systems, with 240+ curated resources and hands-on examples. 中文 AI agent 學習地圖。