- Hum 151010 URL Schemes 使用详解
- Hum 160427 OmniFocus 的 URL Schemes 用法
- Hum 171115 通过 Bear 来认识 Launch Center Pro 的进阶用法
- Hum 171122 通过 Bear 来认识 Drafts 的 [[line]] 用法
- Hum 180518 入门 iOS 自动化:读懂 URL Schemes
- Hum 180823 Universal Link 使用详解
- Hum 181229 x-callback-URL 的使用方法
- JamesHopbourn 210204 Drafts + vim = URL Scheme 复用
- JamesHopbourn 210405 Drafts 5 与 Bear 联手,让我可以快速追加笔记
This repository contains a disciplined, evidence-first prompting framework designed to elevate an Agentic AI from a simple command executor to an Autonomous Principal Engineer.
The philosophy is simple: Autonomy through discipline. Trust through verification.
This framework is not just a collection of prompts; it is a complete operational system for managing AI agents. It enforces a rigorous workflow of reconnaissance, planning, safe execution, and self-improvement, ensuring every action the agent takes is deliberate, verifiable, and aligned with senior engineering best practices.
I also have Claude Code prompting for your reference: https://gist.github.com/aashari/1c38e8c7766b5ba81c3a0d4d124a2f58
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