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tidy-agent-practice
AI Agent 开发的核心技术原理及实践案例，涵盖智能体技术架构、记忆管理、工具调用、自我学习、工作流编排、RAG（检索增强生成）、认知策略、MCP、A2A、多智能体原理及协调架构等等。通过实际可运行的实战案例代码，帮助开发者理解 AI Agent 的核心原理与实现方式，为学习 AI Agent 的开发者提供实践参考。
7stars
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Python
Quality signals
StaleNo testsNo CIThin docsNo licenseNew
Install
Universal installANY TOOL
$ npx skillcity@latest tinyseeking/tidy-agent-practiceAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Prefer to set it up by hand? Clone the repository:
git clone https://github.com/tinyseeking/tidy-agent-practice.git
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Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
tidy-agent-practice — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt