AI Agent Skills

A simple, high-quality voice conversion tool focused on ease of use and performance.

Achieve state of the art inference performance with modern accelerators on Kubernetes

Deep dive into Claude Code internals — architecture, agent loop, context engineering, and more. / 深入解析 Claude Code 源码：架构、Agent 循环、上下文工程、工具系统等

Vuesion is a boilerplate that empowers product teams to build faster with modern best practices across engineering and design. It features a full-stack framework, compre…

AKQuant is a high-performance quantitative research and trading framework built on Rust and Python! 开源量化回测框架

Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. 🚀💻 Inte…

High-performance Toolkit for WebGL-based Data Visualization

ArcticDB is a high performance, serverless DataFrame database built for the Python Data Science ecosystem.

Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context engineering, parallel worktrees, agent teams, and 17 battle-te…

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

Add expert Swift Concurrency guidance to your AI coding tool (Agent Skills open format): safe concurrency, performance optimization, and Swift 6 migration.

Drone Log analyzer: A high-performance universal dashboard application for organizing and analyzing DJI/Litchi flight logs privately in one place. Supports plugin for cu…

Claude skills for LinkedIn. 11 Claude Code and Codex skills that write human-sounding LinkedIn posts, craft comments that get noticed, analyze your feed, and build a pub…

High performance Rust stream processing engine seamlessly integrates AI capabilities, providing powerful real-time data processing and intelligent analysis.

Portable, vendor-agnostic agent harness for project-specific skills, workflows, and agent teams aligned with your codebase, conventions, and engineering standards.

Turn creator performance data into a documented retrospective, grounded hypotheses, and reusable content learnings.