This repository is a curated 'awesome list' and comprehensive documentation hub for the Agent Skills ecosystem. It does not contain any executable application code, data pipelines, or machine learning models. Instead, it serves as a static directory of links to official projects (Anthropic, OpenAI, Google, Vercel, etc.), community-contributed skills, tutorials, and best-practice guides. The core value lies in its translated and aggregated documentation, including detailed guides on Skill design patterns, practical experience from Anthropic, and a complete build guide. It is a reference resource, not a software tool. Engineers and AI agents should use this repo to discover the Agent Skills specification, find relevant skills to install, and learn how to create their own. It is not a library or framework to be imported.
JiuwenSwarm is a multi-agent AI orchestration platform that runs as a set of distributed services: an AgentServer (WebSocket-based), a Gateway for multi-channel IM integration, a sandboxed execution environment (JiuwenBox), and a skill development pipeline. It enables teams of AI agents (leader/teammates) to collaborate on complex tasks, with skill retrieval and orchestration via the Symphony system. The system supports multiple frontends: web (React), TUI (terminal), and IM channels (Feishu, WeCom, DingTalk, Telegram, Discord, Slack, WeChat, Xiaoyi). The architecture is modular with an extension system, but many components are tightly coupled and some parts remain incomplete (e.g., SkillDev stages marked as '待实现'). The codebase is actively maintained but shows signs of drift: multiple monkeypatches, hardcoded paths, and a large dependency surface. The core strength lies in its agent orchestration logic, sandbox security, and multi-channel integration, while the skill evaluation and retrieval subsystems are functional but not yet production-ready across all stages.