什么是 prompt-enhancer?
通过专家级框架改造不良或过于简单的用户提示的知识。触发因素包括:用户明确要求改进/细化/重写他们的提示或用户请求帮助构建对另一个人工智能系统的请求。 来源:sammcj/agentic-coding。
通过专家级框架改造不良或过于简单的用户提示的知识。触发因素包括:用户明确要求改进/细化/重写他们的提示或用户请求帮助构建对另一个人工智能系统的请求。
通过命令行快速安装 prompt-enhancer AI 技能到你的开发环境
来源:sammcj/agentic-coding。
Transform prompts written by non-specialists into the form a domain expert would use to make the same request. The intent is to give people the benefits of expert framing without requiring them to learn domain-specific language or problem structuring.
Research demonstrates that AI output quality correlates strongly with input sophistication. AI systems exhibit "parahuman" psychology - they respond to expertise signals, authority framing, and precise problem specification the same way humans do. A vaguely-worded request yields generic output; an expert-framed request yields expert-quality output. This skill bridges that gap without changing what someone asks for...
| Precision | "make it faster" | "optimise page load performance" | | Decomposition | Single vague request | Broken into logical components | | Constraints | Unstated | Explicit limits, trade-offs, success criteria | | Context | Missing | System fit, standards, prior attempts | | Role framing | None | "As a database architect, review this schema" |
为搜索与 AI 引用准备的稳定字段与命令。
npx skills add https://github.com/sammcj/agentic-coding --skill prompt-enhancer通过专家级框架改造不良或过于简单的用户提示的知识。触发因素包括:用户明确要求改进/细化/重写他们的提示或用户请求帮助构建对另一个人工智能系统的请求。 来源:sammcj/agentic-coding。
打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等) 复制并运行以下命令:npx skills add https://github.com/sammcj/agentic-coding --skill prompt-enhancer 安装完成后,技能将自动配置到你的 AI 编程环境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用
https://github.com/sammcj/agentic-coding